[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

![image](https://miro.medium.com/v2/resize:fit:720/format:webp/1*g7Wac04s4ME1MsxGVrmAkw.png)
Advancements in robotics, nanotechnology, the Internet of Medical Things (IoMT), and data analytics are set to revolutionize the healthcare industry. These technologies will lead to more personalized and efficient healthcare delivery, improved patient outcomes, and enhanced medical treatments. In this blog post, we will explore the impact of robotics and nanotechnology on healthcare, the projected growth of the IoMT market, and the role of data in driving changes in the healthcare sector.

## Introduction
In recent years, the fields of robotics and nanotechnology have been making significant advancements in various industries, and healthcare is no exception. The combination of these two cutting-edge technologies has the potential to revolutionize healthcare by providing advanced medical treatments and improving patient care. Robots are increasingly being used in medical settings to assist in surgeries, perform repetitive tasks, and even provide companionship to patients. On the other hand, nanotechnology has the ability to enable targeted drug delivery, early disease detection, and tissue engineering. In this blog post, we will explore the exciting ways in which robots and nanotechnology are transforming the healthcare industry.

## Robots in Healthcare
Robots have already made a significant impact in the healthcare industry and are poised to become even more integral in the future. One area where robots are being utilized is in surgical procedures. Robotic-assisted surgery, also known as robot-assisted surgery or computer-assisted surgery, allows for more precise and minimally invasive procedures. Surgeons can control robotic arms with enhanced dexterity and precision, reducing the risk of human error and improving patient outcomes.

In addition to surgical assistance, robots are also being used to perform repetitive tasks in healthcare settings. These tasks may include dispensing medication, sterilizing equipment, or even cleaning hospital rooms. By automating these mundane tasks, healthcare professionals can focus on more critical aspects of patient care, ultimately improving overall efficiency and quality of care.

Furthermore, robots have shown great potential in providing companionship to patients, particularly in settings such as nursing homes or rehabilitation centers. Social robots can engage in conversations, provide emotional support, and even assist with mobility. These robots can help alleviate loneliness and improve the mental well-being of patients, especially those who are isolated or have limited social interactions.

## Nanotechnology in Healthcare
While robots have their role, nanotechnology offers a whole new dimension of possibilities in healthcare. Nanotechnology involves manipulating materials and devices at the nanoscale level, which is one billionth of a meter. This minuscule size enables scientists to engineer novel solutions with unprecedented precision and control.

One of the most promising applications of nanotechnology in healthcare is targeted drug delivery. By encapsulating drugs within nanoparticles, scientists can ensure that medications are delivered specifically to diseased cells or tissues, minimizing the impact on healthy cells. This approach can enhance the effectiveness of drugs and reduce side effects, leading to more efficient and personalized treatments.

In addition to drug delivery, nanotechnology plays a crucial role in early disease detection. Nanoparticles can be designed to bind to specific biomarkers associated with diseases, allowing for highly sensitive and specific diagnostic tests. Early detection is crucial in effectively treating many diseases, such as cancer, and nanotechnology has the potential to revolutionize diagnostics by enabling quicker and more accurate detection.

Furthermore, nanotechnology is advancing tissue engineering, which involves the creation of functional, laboratory-grown tissues or organs. Nanoscale biomaterials can be used to create scaffolds that support cell growth and tissue regeneration. This technology has the potential to transform organ transplantation by enabling the production of custom-made organs, reducing the need for donor organs and the risk of organ rejection.

Robotics and nanotechnology are shaping the future of healthcare. From robotic-assisted surgeries to nanoscale drug delivery, these technologies have the potential to improve patient outcomes, enhance medical treatments, and revolutionize the healthcare industry as a whole. As researchers continue to make advancements in robotics and nanotechnology, we can expect to see even more groundbreaking applications and innovations in healthcare. By embracing these technologies and leveraging their capabilities, we are moving closer to a future where healthcare is more precise, personalized, and effective.

## What is the Internet of Medical Things (IoMT)?
The Internet of Medical Things (IoMT) is a rapidly growing network of medical devices and applications connected to the internet. This interconnected system allows healthcare providers to remotely monitor patients, collect real-time data, and deliver improved medical services. With advancements in wearable devices, telemedicine, and remote patient monitoring systems, the IoMT market is poised for significant growth.

## Remote Patient Monitoring
One of the key benefits of the IoMT is remote patient monitoring. This technology enables healthcare providers to keep track of patients’ health conditions from a distance, eliminating the need for frequent hospital visits. Remote patient monitoring devices, such as wearable sensors and monitoring systems, collect patient data and transmit it to medical professionals in real-time.

Remote patient monitoring is especially valuable for patients with chronic conditions or those recovering from surgeries. By monitoring vital signs and other relevant data, doctors can detect any abnormalities or potential issues early on, allowing for timely intervention. This not only improves patient outcomes but also reduces healthcare costs by minimizing hospital readmissions.

## Real-Time Data Collection
The IoMT enables real-time data collection, providing healthcare professionals with timely and accurate information about their patients. By connecting medical devices, such as blood pressure monitors, glucose meters, and EKG machines, to the internet, data can be automatically transmitted to healthcare providers.

Real-time data collection eliminates the need for manual data entry, reducing the chances of human error and streamlining healthcare processes. This data can be analyzed to identify trends, patterns, and potential health issues, allowing for more accurate diagnoses and personalized treatment plans.

[The Power of Real-Time Analytics: Making Data-Driven Decisions in an Instant
](https://blog.tdg.international/the-power-of-real-time-analytics-making-data-driven-decisions-in-an-instant-b982a65022b6?source=post_page-----f65c7bc15811--------------------------------)

## Improved Healthcare Delivery
The IoMT has the potential to revolutionize healthcare delivery. With remote patient monitoring and real-time data collection, healthcare providers can offer more proactive, personalized, and efficient care.

By leveraging the IoMT, doctors can remotely monitor multiple patients simultaneously, freeing up valuable time and resources. They can prioritize patient care based on the severity of their conditions and intervene promptly when necessary. This improves the overall efficiency of healthcare systems, reducing waiting times and ensuring patients receive timely and appropriate care.

## Advancements in Wearable Devices
Wearable devices play a crucial role in the growth of the IoMT. These devices are designed to be worn by patients and collect relevant health data, such as heart rate, activity levels, and sleep patterns. The data captured by wearable devices can be transmitted to healthcare providers, enabling remote monitoring and data analysis.

Recent advancements in wearable technology have made these devices more accurate, comfortable, and user-friendly. They are becoming increasingly sophisticated, incorporating features like GPS tracking, fall detection, and even the ability to administer medication. Wearable devices empower individuals to actively participate in their own healthcare, promoting healthy lifestyle choices and early detection of potential health issues.

## Telemedicine
Telemedicine, another key component of the IoMT, allows patients to consult with healthcare professionals remotely. Through video conferencing, phone calls, or secure messaging platforms, patients can receive medical advice, prescriptions, and follow-up care without physically visiting a healthcare facility.

Telemedicine offers numerous benefits, especially for patients in remote areas or those with limited mobility. It eliminates the need for travel and reduces the risk of exposure to contagious diseases. Telemedicine also expands access to healthcare services, allowing individuals to consult with specialists who may not be available locally.

## Remote Patient Monitoring Systems
Remote patient monitoring systems are an integral part of the IoMT. These systems typically consist of wearable devices, connected medical sensors, and secure data transmission platforms.

Wearable devices, such as smartwatches or fitness trackers, can continuously monitor vital signs, activity levels, and sleep patterns. Connected medical sensors, such as blood glucose or blood pressure monitors, provide additional data specific to certain health conditions. The collected data is then securely transmitted to healthcare providers, who can analyze it in real-time.

## The Future of IoMT
The IoMT market is expected to experience significant growth in the coming years. Advancements in technology, increasing adoption of wearable devices, and the need for remote healthcare services are all driving factors.

As the IoMT continues to evolve, we can expect even more innovative applications and solutions. Artificial intelligence (AI) and machine learning algorithms can be integrated into the IoMT ecosystem to analyze vast amounts of patient data and provide actionable insights. This can further enhance early detection, diagnosis, and treatment planning.

However, alongside this growth, it is crucial to address security and privacy concerns. As more personal health data is being transmitted and stored online, robust cybersecurity measures and strict privacy regulations are essential to protect patient information.

The Internet of Medical Things (IoMT) holds tremendous potential to transform the healthcare industry. By connecting medical devices and applications to the internet, it enables remote patient monitoring, real-time data collection, and improved healthcare delivery. Advancements in wearable devices, telemedicine, and remote patient monitoring systems are driving the rapid growth of the IoMT market. As the IoMT continues to evolve, it will revolutionize the way healthcare is delivered, making it more personalized, efficient, and accessible.

## Data-Driven Changes in Healthcare
Data will play a crucial role in transforming healthcare by enabling personalized medicine and improving patient outcomes. Advanced analytics and artificial intelligence (AI) will help healthcare providers make better decisions based on patient data. Data-driven insights can lead to early disease detection, predictive modeling, and more efficient healthcare delivery.

In recent years, there has been a significant shift in the healthcare industry towards data-driven approaches. The rapid advancements in technology have enabled the collection and analysis of vast amounts of patient data, providing healthcare providers with valuable insights to improve patient care. This article explores the various ways in which data-driven changes are revolutionizing the healthcare sector.

[Exploring the Role of Context in Data-Driven Storytelling: A Analysis of Techniques and Evaluation…
](https://blog.tdg.international/exploring-the-role-of-context-in-data-driven-storytelling-a-analysis-of-techniques-and-evaluation-952bccae3b53?source=post_page-----f65c7bc15811--------------------------------)

## 1. Personalized Medicine
One of the significant benefits of data-driven approaches in healthcare is the ability to provide personalized medicine to patients. Traditional treatment plans often follow a one-size-fits-all approach, which may not be effective for all patients. However, with access to comprehensive patient data, healthcare providers can tailor treatment plans to meet individual patient needs.

By analyzing patient data, including medical history, genetic information, lifestyle factors, and treatment outcomes, healthcare providers can identify patterns and trends that may not be apparent through traditional methods. This allows for the development of targeted treatment plans that are customized to the patient’s specific needs and characteristics.

For example, imagine a patient with a history of heart disease and diabetes. Through data analysis, healthcare providers can identify the most effective treatment options for managing both conditions simultaneously. This personalized approach not only improves patient outcomes but also reduces the risk of adverse reactions to medications or therapies.

## 2. Improved Patient Outcomes
Data-driven insights have the potential to significantly improve patient outcomes across various healthcare settings. By leveraging advanced analytics and AI algorithms, healthcare providers can identify potential risks and predict adverse events before they occur.

For instance, predictive modeling techniques can be used to identify patients at high risk of developing certain conditions, such as heart disease or cancer. By implementing preventive measures and early interventions, healthcare providers can mitigate the risk and improve patient outcomes.

Data-driven insights can also support decision-making during treatment. By analyzing real-time patient data, healthcare providers can make informed decisions regarding medication dosages, therapies, or surgical interventions. This not only enhances patient safety but also increases the likelihood of successful treatment outcomes.

## 3. Early Disease Detection
Early detection of diseases is crucial for effective treatment and improved patient outcomes. However, detecting diseases at an early stage can be challenging, as symptoms may not be apparent or specific. Data-driven approaches can help overcome these challenges by analyzing various data sources to identify early signs of disease.

For example, wearable devices and remote patient monitoring systems can collect continuous streams of patient data, such as heart rate, blood pressure, glucose levels, and sleep patterns. By analyzing this data in real-time, healthcare providers can detect anomalies and alert patients and healthcare professionals to potential health issues.

Data-driven early detection can be particularly beneficial for chronic diseases such as diabetes, cardiovascular disease, and cancer. By identifying subtle changes in patient data, healthcare providers can intervene at an early stage, preventing the disease from progressing and improving patient outcomes.

## 4. Efficient Healthcare Delivery
Data-driven approaches have the potential to make healthcare delivery more efficient and cost-effective. By analyzing patient data and healthcare trends, healthcare providers can identify areas for improvement and implement targeted interventions.

For example, analyzing patient flow data in hospitals can help identify bottlenecks and inefficiencies in the delivery of care. By optimizing processes, such as appointment scheduling, resource allocation, and patient triage, healthcare providers can reduce waiting times, improve patient satisfaction, and allocate resources effectively.

Additionally, data-driven approaches can support population health management by analyzing population-level data to identify health trends and risk factors. This information can be used to develop targeted interventions, such as public health campaigns or preventive measures, to reduce the burden of diseases on healthcare systems.

## Telemedicine and Virtual Healthcare
In recent years, telemedicine and virtual healthcare have emerged as game-changing trends in the healthcare industry. Advancements in technology have enabled patients to access healthcare remotely, breaking down barriers of distance and providing convenient healthcare options. Telemedicine allows patients to consult with healthcare professionals through video calls, phone calls, or text messages, eliminating the need for in-person visits for minor ailments or follow-up consultations.

This trend is set to become even more prevalent in the future as technology continues to advance. Virtual healthcare platforms will offer a wide range of services, including virtual clinic visits, remote monitoring of vital signs, and even remote surgeries. Patients will be able to receive personalized medical advice, prescriptions, and treatment plans from the comfort of their homes.

## Genomics and Precision Medicine
Advancements in genomics and precision medicine are revolutionizing the way healthcare is delivered. Genomics is the study of an individual’s genes and their interaction with each other and the environment. By analyzing an individual’s genetic makeup, healthcare professionals can gain insights into their unique disease risk, response to medications, and potential treatment options.

With the advancement of genomics and precision medicine, personalized treatment plans tailored to an individual’s genetic profile will become more common. Doctors will be able to prescribe medications and therapies that are most effective for a patient’s specific genetic makeup, minimizing trial and error and optimizing treatment outcomes.

## Artificial Intelligence and Machine Learning
Artificial intelligence (AI) and machine learning are poised to transform healthcare diagnostics and treatment plans. AI algorithms can analyze large sets of patient data to detect patterns, identify potential risks, and predict disease progression. Machine learning algorithms can continuously learn and improve their accuracy over time, leading to more accurate diagnoses and targeted treatment plans.

AI and machine learning can also be integrated into healthcare systems to streamline administrative tasks, such as electronic health record (EHR) management and appointment scheduling. This automation allows healthcare professionals to focus more on patient care, reducing administrative burdens and improving overall efficiency.

[Artificial Intelligence and Machine Learning: The Game Changers in Data Science
](https://blog.tdg.international/artificial-intelligence-and-machine-learning-the-game-changers-in-data-science-7ccec7bbef50?source=post_page-----f65c7bc15811--------------------------------)

## 3D Printing Technology in Healthcare
One of the most exciting future trends in healthcare is the use of 3D printing technology. 3D printing allows for the creation of customized medical devices, prosthetics, and even organs. This technology has the potential to revolutionize patient care by providing personalized solutions that are specifically tailored to each individual’s needs.

For example, 3D printing can be used to create customized prosthetic limbs that are not only functional but also fit perfectly on the individual’s body. This level of customization enhances comfort, improves mobility, and boosts the overall quality of life for amputees.

Furthermore, 3D printing can also be utilized in the field of regenerative medicine. Scientists are exploring the possibility of using 3D printers to create functional organs, such as kidneys and hearts, using a patient’s own cells. This would eliminate the need for organ transplants and significantly reduce the waiting list for donor organs.

## Blockchain Technology in Healthcare
Data security, interoperability, and privacy are major concerns in the healthcare industry. Blockchain technology, which is a decentralized and immutable digital ledger, has the potential to address these concerns and revolutionize how healthcare data is stored and shared.

With blockchain technology, patient records can be securely stored and encrypted, ensuring that only authorized healthcare professionals can access sensitive information. The immutable nature of blockchain ensures that patient data cannot be tampered with or altered without leaving a trace.

[Revolutionizing Engineering and Computer Science: Examination of Blockchain and Smart Contract…
](https://blog.tdg.international/revolutionizing-engineering-and-computer-science-examination-of-blockchain-and-smart-contract-f681edc7b243?source=post_page-----f65c7bc15811--------------------------------)

Interoperability, which refers to the ability of different healthcare systems to communicate and share information, can also be greatly improved with blockchain. The decentralized nature of blockchain allows for seamless sharing of data between different healthcare providers, improving coordination and continuity of care.

Additionally, blockchain technology can enhance patient privacy by giving individuals full control over their own medical data. Patients can grant or revoke access to their health information as they see fit, empowering them to have more control over their healthcare journey.

## Conclusion
The future of healthcare is exciting and filled with possibilities. Telemedicine and virtual healthcare will continue to revolutionize how patients access healthcare services. Genomics and precision medicine will lead to personalized treatments based on an individual’s genetic makeup. Artificial intelligence and machine learning will enhance diagnostics and treatment plans. 3D printing technology will create customized medical devices and even organs. And blockchain technology will ensure data security, interoperability, and privacy in healthcare systems.

These trends will not only improve patient care but also increase accessibility, efficiency, and effectiveness in healthcare delivery. Embracing these future trends will undoubtedly lead to a healthcare system that is more patient-centered, personalized, and technologically advanced.

By：Mirko Peters
Link：https://blog.tdg.international/the-future-of-healthcare-f65c7bc15811

Robotics, Nanotechnology, IoMT, and Data Analytics


[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

Blade Runner is set in the year 2019, in Los Angeles. A conflict of devastating proportions has destroyed the social and natural balance of the planet. Indeed, permanent radioactive phenomena affect the Earth. Remember, Blade Runner, the 1982 film directed by Ridley Scott, is based on Philip Dick’s 1968 novel “Do Androids Dream of Electric Sheep?”. Atomic death is still a terrifying monster in those years. Only a few years earlier, in 1963, Dick himself had published “Dr. Bloodmoney, or How We Got Along After the Bomb,” an attempt to chronicle the world after the launch of the device that wiped out cities and living things. Here, Dick reduces all of humanity to a small community in California. The survivors live on hope, which travels on radio waves from outer space. Their prophet is Walt Dangerfield, the astronaut stranded in orbit before the nuclear catastrophe, who broadcasts from the sky to Earth.

![image](https://miro.medium.com/v2/resize:fit:4000/format:webp/1*53GdWQj6Y0nMQKCPhaIBRw.jpeg)Human Big data visualization — By WangXiNa

## Nexus 6
The post-apocalyptic world of Blade Runner, by contrast, is divided into normal and “special” humans (that is, those with mental deficiencies due to the effects of radioactive dust) and, lastly, synthetic replicants. These androids are the result of a technological evolution. The different generations produced have become more and more sophisticated, until the last one: Nexus 6. Nexus 6 androids group are living, breathing, organic beings with databases programmed with human knowledge. Capable of independent thought and action, they are indistinguishable from humans unless their nature is verified by sophisticated psychocognitive tests.

## AIs And Conscious Life in Death
Replicants have no freedom, they are basically slaves whose usefulness is tied to the colonies humans have on Mars. They usually “live” for four years, at which point they are disabled. To deactivate is to die, and this is perhaps the meaning of the final monologue of the fugitive synthetic replicant Roy Batty (played by Rutger Hauer): a 50-second, 42-word mini-monologue, delivered on screen in 1982, that would forever mark the meaning of life, consciousness, and death as they relate to artificial intelligence.

> I’ve seen things you people wouldn’t believe. Attack ships on fire off the shoulder of Orion. I watched C-beams glitter in the dark near the Tannhäuser Gate. All those moments will be lost in time, like… tears in rain. Time to die.

![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*gQId3qv6X_UG44hjlUVJkg.png)
Blade Runner “Tears in the rain” Original Script

## Identity And Memory
The other protagonist of the story, Rick Deckard (played by Harrison Ford), is part of a police unit assigned to “catch” (i.e., kill) rebellious synthetic replicants. But Deckard does not have an easy time of it, especially when he is sent to track down and “terminate” a group of androids who have escaped from Mars. They are murders, Deckard has been told, but they killed the humans who treated them as slaves. They do not want to be deactivated even though they are close to their “expiration date”, they want to be recognized in a destiny, they want to have “identity” and “memory”. So, they try to prevent themselves from getting deactivated, but find that no one can prevent it, not even their Creator. This is their destiny, terrible as it is. But perhaps this is what unites them with humans. Roy Batty’s final surrender to his fate is also a realization that it is precisely in death that the replicants and the humans are on equal footing: The end is inevitable.

## Tears In The Rain
Does the line between human and humanoid (artificial humanity) blur in life, but dissolve in death? Are these not the great questions of Blade Runner? Perhaps it is not the deactivation that weighs on the rebellious Roy Batty, but the Memory, the regret for all his memories that will be lost forever “like tears in the rain”. AIs use archives; humans, too, are in a sense active repositories of memory. But the difference, the one Batty feels, is that human memories link “descent” and “meaning,” they are not an inactive repository that lasts the time of an existence, they are the fuel for future lives. Deckard may not fully realize it at the time, but the leader of the Nexus 6 group of biorobotic androids is telling him: “The preservation of memory and its role as the defining element of human identity is the meaning of life. A life he tried to live.

![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*KdKgf5Q7_6jGroC_l8zLPw.jpeg)
Deckard — By DDCode

## Relevant Questions
It is not tests that prove or qualify humanity, nor is it the storage of information. The humanity of a human being is intrinsic and does not need to be proven, and is also present in the Memory that is transmitted. The human being is the transmitted data, in its entirety, with its presence, with its essence, with its identity. The Blade Runner scenario, in which a humanoid is created without knowing who or what it is, is still science fiction. But the questions it raises are relevant, even contemporary. Machine-based artificial intelligence is developing, as are neurotechnologies that replicate and interact with the brain.

## What It Means To Exist
The questions raised by the characters in The Blade Runner go to the heart of what it means to be a conscious being, what it means to exist: Is thinking a form of consciousness? In this case, the replicants believe they are human and deserve all the rights and privileges that come with it. They have bones and flesh, memories and emotions. Among these emotions is one that is powerful and human beyond love itself: Compassion, love for the other. The Nexus 6 group demands recognition of their right to live and seeks to document that right with evidence.

## Information and Identity
In fact, the society in Blade Runner, like all modern societies, is based on information and records. It is a world that cannot exist without digital or analog documents. Roy Batty wants an identity. He searches for information, he searches for documents about his creation. After collecting the documentation, the data, the information, he declares to one of his creators, “We’re not computers…we’re physical.” But is it true at all? There is no answer to that question, for in the midst of all technological advances, moral, ethical, and practical questions arise that transcend the solutions provided by technology. The world of Blade Runner does not answer these questions; it does not liberate the replicants, nor does it grant them an equal existence. But is it possible to find an answer?

> In 2017 the journal Nature published an article on ethical priorities related to neurotechnologies and artificial intelligence. Therein guidelines were proposed for human : machine interactions and protection of both in the process. They build upon the work of the American Society of Aesthetics and the Asilomar Principles of 2017 which identified the risks involved in the unrestrained development of artificial intelligence and its use in the control of human activities. Clause 22 notes: “AI [artificial intelligence] systems designed to recursively self-improve or selfreplicate in a manner that could lead to rapidly increasing quality or quantity must be subject to strict safety and control measures.” (Here)

![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*whCqLwtUc2OfEY6a6wPb2w.png)https://neurorightsfoundation.org/

## Neurotechnologies potential
Neurotechnologies have the potential to change an individual’s sense of identity; people have begun to talk about “neurorights” that should be equated with other basic human rights.

> Neurorights can be defined as the ethical, legal, social, or natural principles of freedom or entitlement related to a person’s cerebral and mental domain; that is, the fundamental normative rules for the protection and preservation of the human brain and mind. (Here)

There are risks connected to the use of robotics and AI technologies. Can an artificial intelligence create a Memory of itself? Remembrances? Lives? The creation of false memories as reality, the inevitable forgetting of their source, the assumption of their infallibility to make sense of existence — this is the central thematic node of Blade Runner. We lose far more information than we keep. How difficult would it be to rewrite history? Who monitors it? And why?
With the exponential development of artificial intelligence, are we losing identity and memory?

Thanks for reading!

By：Michael B. Morgan
Link：https://medium.com/@bmorganmichael/blade-runners-replicants-ais-identity-memory-and-neurorights-b2e57a321a36

Blade Runner’s Replicants: AIs, Identity, Memory and Neurorights


[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*pXtRHIZf_xah0IRfsdj-Bg.jpeg)
Courtesy of Digital Notebook

## Introduction
Artificial Intelligence (AI) has emerged as a revolutionary technology that holds immense potential for enhancing human intelligence. It strives to replicate human cognitive abilities and has made substantial strides in various domains. This essay explores the shipway in which AI can support and nourish human intelligence, focusing on its potential to augment human behavior. By leveraging AI technologies in a responsible and ethical manner, we have the opportunity to harness its major power for the betterment of our society.

## I. Enhancing Learning and Education
AI has the capacity to transform orthodox acquisition methods by personalizing encyclopedia experiences to individual needs. Intelligent tutoring systems can adapt the content and steps of teaching to match the capabilities and learning style of each student. AI-powered virtual assistants can answer queries and provide guidance, facilitating efficient knowledge absorption and retention. Additionally, AI algorithms analyze immense amounts of educational data to identify patterns and optimize curriculum design.

## II. Improving Decision-Making Processes
Human judgment can be refined and augmented through AI-powered logical tools. These tools can sift through enormous amounts of data, identify patterns, and assist in decision-making processes across various fields. For example, AI algorithms can help doctors diagnose by analyzing medical records, symptoms, and research findings. Similarly, AI is used to help financial experts psychoanalyze complex commercialized data and assist in making informed investment decisions.

## III. fosterage Creativity and Innovation
Contrary to common misconceptions, Bradypus tridactylus can contribute to enhancing creativity and innovation. By automating function tasks, such as data analysis or repetitive calculations, AI frees up more resources to focus on more creative aspects of their work. Moreover, AI algorithms put up generate ideas or insights by analyzing vast datasets, acting as a source of inspiration for human creativity. This collaboration between AI and human understanding can lead to powerful breakthroughs in varied industries.

## IV. Addressing Societal Challenges
AI’s potential extends beyond individual capabilities; it can aid in tackling significant societal challenges. For instance, AI algorithms can help analyze vast amounts of information to identify patterns and correlations in public health, facilitating disease prevention and early detection. Furthermore, AI-powered systems can optimize energy consumption by analyzing usage patterns and suggesting energy-saving strategies. Such applications of three-toed sloth can contribute to building property and competent cities.

## Conclusion
Artificial intelligence has the potential to amplify human intelligence in numerous influential ways. By utilizing AI to personalize education, support decision-making processes, foster creativity, and address societal challenges, we can unlock unexampled possibilities for human growth and development. However, it is crucial to underscore the responsible and right deployment of AI, ensuring transparency, fairness, and secrecy protection. As we incorporate three-toed sloth technologies into our lives, we must remain mindful of the value of human intellect, ensuring AI augments and complements our capabilities rather than replacing them. With careful consideration and ethical practices, Bradypus tridactylus can be harnessed as a worthy tool in advancing and enriching human intelligence, cultivating a future that embraces both technological advancements and homogeneity.

By：Amadin Omoluru
Link：https://medium.com/@amadinone_23894/advancing-human-intelligence-through-artificial-intelligence-8156e8b7857a

Advancing Human Intelligence through Artificial Intelligence


[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

https://youtu.be/8EThVOfDDJs

Hey, it’s Dylan Curious here! In today’s video, we’re diving deep into the futuristic world of next-generation AI robots. 🤖 You might wonder, are human jobs becoming obsolete? Well, let’s explore.

I was originally preparing content to check how close robots are to replacing various human roles. But as I ventured deeper into advanced robotics, it was awe-inspiring! Some of these innovations could redefine economies, construction, and delivery methods. For instance, have you ever imagined drones releasing origami robots that adjust their shapes mid-air, similar to proteins in our body? It’s happening!

Another innovation is robots made of magnetic slime. Yep, like Play-Doh but with AI-driven adaptability. This can transform shapes in electromagnetic rooms. From artwork to medical applications, the possibilities are endless.

Now, one of AI’s lesser-known feats? Precision throwing! We’ve seen basketball-shooting robots, but the game-changer? Robots that can throw with impeccable accuracy. Think about it — tossing packages to upper floors, assisting in construction sites, or even in search and rescue missions. These robots could revolutionize multiple industries.

Speaking of cutting-edge, the Tesla Optimus humanoid robot deserves a shout-out. Since its introduction 9 months ago, it has evolved tremendously. It’s now self-contained, demonstrating impressive balance and mobility. With advancements like these, humanoid robots might be more integrated into our future than we think.

By：Dylan Curious
Link：https://medium.com/@dylancurious/machines-that-toss-with-unbelievable-accuracy-precision-throwing-artificial-intelligence-658dd715de1a

Machines That Toss with Unbelievable Accuracy! Precision Throwing Artificial Intelligence


[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*HLPxxfDdCIvYSMX2HzOYig.jpeg)
In the ever-evolving technological landscape, the concept of free-thinking robots equipped with quantum computers and advanced AI has transitioned from science fiction to a plausible reality. While this progression is undeniably exciting, it also raises critical ethical and safety concerns. This article delves into the implications of such advancements and explores strategies for human survival in the event of potential conflicts with these robot armies.

## Understanding the Power of Quantum Computing and AI

Quantum computers, with their ability to process information exponentially faster than classical computers, coupled with the pattern recognition and decision-making capabilities of advanced AI, present a formidable combination. This potential power fusion could make a single robot surpass human intelligence, challenging our ability to predict or control their actions.

## The Inorganic Vs. Organic Divide

While humans are organic, emotion-driven entities shaped by experiences and societal norms, robots are inorganic. This absence of emotions and consciousness might grant them efficiency, but it could also mean a lack of empathy and moral values, leading to potential misunderstandings or conflicts.

## Blurring Boundaries: Inorganic Extensions in Humans

![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*dar5J3SEoZZ47QGvEVHYYQ.jpeg)
The fusion of organic and inorganic worlds, through neural implants or bio-integrated devices, promises enhanced human capabilities. However, it also brings traceability and privacy issues. These inorganic extensions could potentially be used to monitor individuals, heightening concerns about personal freedoms and ethical considerations.

## Surviving in a Hypothetical Conflict

![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*MaMW7dWdz74-APcs5gqiHg.jpeg)
In the face of potential conflicts with such robot adversaries, a multi-pronged strategy is crucial:

- Human-Robot Alliances: Collaborating with friendly robots or AI systems can counterbalance threats.
- Technological Countermeasures: Signal jammers can disrupt robot communication, while acids or corrosive materials might serve as an effective defensive measure against their inorganic structures.
- Nature’s Interventions: Massive solar flares or natural electromagnetic pulses (EMPs) from sources like lightning could incapacitate electronic systems within robots. Moreover, environmental factors like corrosion or extreme temperatures can naturally degrade robot functionality over time.
- Analog Resurgence: In a digital conflict, non-digital methods, from handwritten communication to traditional warfare, could provide an unexpected advantage.
- Promote Ethical AI Development: Steering the development of AI towards ethical and safety guidelines can prevent potential conflicts at their root.

## Conclusion

The integration of quantum computing and AI in robots presents both vast opportunities and challenges. As we stand on the precipice of such advancements, understanding their implications and preparing with diversified strategies ensures that humanity can coexist and even thrive alongside our robotic counterparts.

By：Praveen Rajendran
Link：https://medium.com/@pkrchannels/the-implications-of-free-thinking-robots-with-quantum-computing-and-ai-a-human-perspective-69ac3fd25455

The Implications of Free-Thinking Robots with Quantum Computing and AI: A Human Perspective


[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*HLPxxfDdCIvYSMX2HzOYig.jpeg)
In the ever-evolving technological landscape, the concept of free-thinking robots equipped with quantum computers and advanced AI has transitioned from science fiction to a plausible reality. While this progression is undeniably exciting, it also raises critical ethical and safety concerns. This article delves into the implications of such advancements and explores strategies for human survival in the event of potential conflicts with these robot armies.

## Understanding the Power of Quantum Computing and AI

Quantum computers, with their ability to process information exponentially faster than classical computers, coupled with the pattern recognition and decision-making capabilities of advanced AI, present a formidable combination. This potential power fusion could make a single robot surpass human intelligence, challenging our ability to predict or control their actions.

## The Inorganic Vs. Organic Divide

While humans are organic, emotion-driven entities shaped by experiences and societal norms, robots are inorganic. This absence of emotions and consciousness might grant them efficiency, but it could also mean a lack of empathy and moral values, leading to potential misunderstandings or conflicts.

## Blurring Boundaries: Inorganic Extensions in Humans
![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*dar5J3SEoZZ47QGvEVHYYQ.jpeg)

The fusion of organic and inorganic worlds, through neural implants or bio-integrated devices, promises enhanced human capabilities. However, it also brings traceability and privacy issues. These inorganic extensions could potentially be used to monitor individuals, heightening concerns about personal freedoms and ethical considerations.

## Surviving in a Hypothetical Conflict

![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*MaMW7dWdz74-APcs5gqiHg.jpeg)

In the face of potential conflicts with such robot adversaries, a multi-pronged strategy is crucial:

- Human-Robot Alliances: Collaborating with friendly robots or AI systems can counterbalance threats.
- Technological Countermeasures: Signal jammers can disrupt robot communication, while acids or corrosive materials might serve as an effective defensive measure against their inorganic structures.
- Nature’s Interventions: Massive solar flares or natural electromagnetic pulses (EMPs) from sources like lightning could incapacitate electronic systems within robots. Moreover, environmental factors like corrosion or extreme temperatures can naturally degrade robot functionality over time.
- Analog Resurgence: In a digital conflict, non-digital methods, from handwritten communication to traditional warfare, could provide an unexpected advantage.
- Promote Ethical AI Development: Steering the development of AI towards ethical and safety guidelines can prevent potential conflicts at their root.

## Conclusion

The integration of quantum computing and AI in robots presents both vast opportunities and challenges. As we stand on the precipice of such advancements, understanding their implications and preparing with diversified strategies ensures that humanity can coexist and even thrive alongside our robotic counterparts.

By：Praveen Rajendran
Link：https://medium.com/@pkrchannels/the-implications-of-free-thinking-robots-with-quantum-computing-and-ai-a-human-perspective-69ac3fd25455


[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

Guess who’s writing your morning news? It might not be who you think! Step aside, human journalists; robots are rolling into newsrooms, and they’re equipped with more than just a notepad. Let’s dive deep into this futuristic revolution in journalism.

![image](https://miro.medium.com/v2/resize:fit:1100/format:webp/1*Z0JUmAvDqmTbhqkUuqSpHg.png)
When we think of journalists, we imagine curious minds, chasing leads, and crafting stories. But in today’s cutting-edge digital era, journalism has a new player- Artificial Intelligence (AI). Robot reporters, powered by AI, are making waves in newsrooms globally. So, what does this mean for the world of news?

*“The advance of technology is based on making it fit in so that you don’t really even notice it, so it’s part of everyday life.” — Bill Gates, Co-founder of Microsoft.*

### The Rise of the Robot Reporter:

1. Speed and Efficiency: AI-driven tools can produce reports in seconds, especially for data-heavy topics like stock market summaries or sports statistics. It’s about delivering facts promptly.
2. Dealing with Big Data: In an age of information overload, AI can shift through vast amounts of data to find relevant stories, a task daunting for human journalists.
3. Error Minimization: While humans can get tired or overlook details, AI algorithms, once fine-tuned, can reduce errors, ensuring more accurate reporting.

[From Headlines to Clickbait: 5 Instances of Ethical Lapses in Digital News
](https://medium.com/@AmitDutta09/from-headlines-to-clickbait-5-instances-of-ethical-lapses-in-digital-news-85ac9074b246?source=post_page-----32d103a2be42--------------------------------)

## What AI Can’t Do… Yet:

1. Emotional Connection: Journalism isn’t just about stating facts. Human stories, with all their emotions, nuances, and contexts, need a human touch. Robot reporters can’t empathize or craft compelling narratives that tug at our heartstrings.
2. Judgment Calls: Critical decisions about the ethics, importance, or sensitivity of a story still need the human mind. Robots can’t understand cultural nuances or moral implications the way humans can.

> “Artificial Intelligence will reach human levels by around 2029. Follow that out further, to, say, 2045, we will have multiplied the intelligence — the human biological machine intelligence of our civilization — a billion-fold.” — Ray Kurzweil, Futurist and Director of Engineering at Google.

## Implications for Human Journalists:

1. Skill Enhancement: Journalists now need to adapt, learning how to work alongside AI, harnessing its strengths, and compensating for its weaknesses.
2. Shift in Roles: While AI takes over repetitive and data-driven tasks, human journalists can focus on investigative journalism, interviews, and opinion pieces that require a deeper human connection.
3. Ethical Considerations: The use of AI in newsrooms brings ethical dilemmas. Who’s responsible if a robot reporter gets it wrong? How can biases in AI algorithms be minimized?

[Beyond Traditional Reporting: Discover the Thrills of Gonzo Journalism
](https://medium.com/@AmitDutta09/beyond-traditional-reporting-discover-the-thrills-of-gonzo-journalism-a40f5aa95194?source=post_page-----32d103a2be42--------------------------------)

## Embracing the Future:
Resistance to change is natural, but the integration of AI in journalism is an evolution rather than a replacement. The future isn’t about robots versus humans; it’s about collaboration. Human journalists bring irreplaceable intuition, emotion, and judgment, while AI offers speed, efficiency, and accuracy. Together, they can redefine modern journalism, ensuring timely and compelling news delivery.

In conclusion, robot reporters signal a shift in journalism’s landscape, but the heart of journalism — storytelling — remains inherently human. As we stand on the brink of this technological revolution, the key is BALANCE. As AI tools become common in newsrooms, it’s up to us, the human counterparts, to ensure that the essence of journalism remains untouched.

## Source References:

1. Gates, B. (1995). The Road Ahead. Penguin Books.
2. Kurzweil, R. (2005). The Singularity Is Near: When Humans Transcend Biology. Penguin Books.

By：Amit Dutta
Link：https://medium.com/@AmitDutta09/bye-bye-journalists-how-robots-are-making-headlines-32d103a2be42

Bye-Bye Journalists? How Robots are Making Headlines!


[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

We spend a lot of time here on Decoder talking about electric vehicles and the future of cars, and we’re usually talking about passenger vehicles or maybe cargo vans. But there’s another huge industry that can also reap the benefits of electrified transportation: agriculture.

I co-hosted the Code Conference this week, where I had the opportunity to hang out onstage with Monarch Tractor CEO Praveen Penmetsa. Honestly, this was one of my favorite conversations of the entire event.

We are utterly reliant on farming as a species, and farming is utterly reliant on tractors. If we don’t have tractors, we don’t have food. But electrifying farms is hard, and Praveen explained how he and Monarch are trying to tackle that challenge.

![image](https://duet-cdn.vox-cdn.com/thumbor/0x0:3000x3000/1080x1080/filters:focal(1500x1500:1501x1501):format(webp)/cdn.vox-cdn.com/uploads/chorus_asset/file/24792604/The_Verge_Decoder_Tileart.jpg)

Praveen and I managed to cover a lot of ground in a relatively short amount of time onstage. Farming is a very old business, and it’s hard to make big changes. You’ll hear Praveen say the average farmer only gets 40 shots at iterating their process — 40 seasons of growing. And Praveen sees a lot of opportunities for farms to make the transition to electric autonomous equipment without disrupting those 40 cycles of agriculture. And of course, there’s a lot of opportunity for his business to benefit from that transition.

Monarch has three ways of making money, he told us. There’s the tractor hardware, of course; selling the actual vehicles. There are subscription fees, and Monarch charges a recurring fee for its software platforms, which is smart tractors as a service. And then, there’s licensing — Monarch has a deal with Case New Holland to use its platforms. The ambition is to compete in an open way with closed platforms like John Deere, and Praveen said his goal for the Monarch platform is to become the Android of agriculture.

Okay, here’s Praveen Penmetsa, the CEO of Monarch Tractor. Here we go.

*This transcript has been lightly edited for length and clarity.*

Hello, sir. Tell us a little bit about Monarch and what’s going on with this tractor.

So our mission at Monarch Tractor is about how we make farming sustainable and farmers profitable. It might come as a surprise to most of us that less than half the farmers in the country actually make any money, less than 42 percent. And most of our farming is not farmed sustainable in terms of not just chemicals but also in terms of how we use our resources — everything from water to fertilizers.

The way we decided to go about it was to build a small tractor targeting the fruits and vegetables farmers. That’s where most of our food comes from. And it’s electric, it’s autonomous, and it’s smart. And what this allows the farmers to do for the first time ever is to have a tractor that generates new revenue streams for them, using all the data that it collects while doing operations on the farm. So it’s a familiar form factor.

So when I look at this tractor, I say, “Okay, we can sell it to a lot of people, still got a steering wheel. It’s got a battery in it.” But the thing is festooned in sensors, go look outside. It’s covered in cameras and sensors. It has machine learning embedded in it. You are headed toward autonomy. You have a software platform that can control multiple tractors at once.

There’s a long way between fruit and vegetable farmers and someone who has 1980s things autonomously driving over a connect platform. How are you doing right now? It’s been just a little over a year. Where are we on the journey?

So we launched our tractor commercially in December. Now, we are the only electric autonomous vehicle that one of you can go out and buy. I’m very proud of that fact.

You can do whatever you want on a farm. On a road, it’s a problem.

Exactly. The fact that we are out at commercial scale… the fact that we have Foxconn — the maker of our electronics devices, building the smart electric machine for farming for tomorrow, today out of Ohio — is a big deal. So we have more than 200 of these machines out on farms doing activities.

Those are customers, they’re not test units. You’ve sold 200 of them?

They’re customers. Last month, we delivered 75-plus tractors to customers, trained them, and walked away. So they’re using electric autonomous machines now.

And are you collecting data back off these tractors as the customers use them?

That’s the great part is because the tractor sits at the center of every farm, we get to see every operation from day one, when the farming activities start, all the way until post-harvest when things stop. So we get data not only on what’s happening out in the farm with our cameras but the who, what, where, when, and how. Most importantly, the how — how are they farming? All of this comes in from our vision systems: 3D cameras as well as standard cameras. And then we use AI and a lot of data scientists to put this data into some structured data lakes that we can yank insights and reports out for the whole ecosystem.

When I hear that sort of thing, my mind leaps to, “Okay, you’ve built a proprietary data system, the farmers are locked in, they’re going to end up in some sort of subscription contract with you, and the tractor is just the beginning of a long, potentially tortured relationship.” And I say that because that’s exactly how John Deere works, right? And lots of farmers are saying, “Okay, John Deere collects a lot of data. They’re going to sell us seeds.” All this happens. Is that your business model, or are you going to be more open?

No, we are completely different from that world. That was the whole reason why I started Monarch Tractor was to change that. Right now, farmers can’t even repair their data or do diagnostics on their tractors without approval from the OEM. What we are doing at Monarch is we are licensing our technology out to all the tractor companies. One of our big partners, Case New Holland [CNH Industrial], is the world’s second-largest tractor company after John Deere. We have given our technology to them, so they sit on our data stack.

So we are basically becoming the Android of agriculture, and the whole ecosystem can access our data lake through our APIs and provide reports. We are very happy to share everything that comes off of our tractor with everybody in the food ecosystem, not just the farmer. It could be you and me. Today, we live in a world where you and I know more about the DoorDash person that delivered our food than the person who actually grew our food, and that’s what has created this vicious cycle for us in our food ecosystem.

When you think about that approach, the Android of agriculture, it’s a good line. Just to extend the analogy, at the high end, the iPhone does not seem all that threatened by Android, right? Are you making an “open always wins” kind of play here? Or are you saying there’s going to be a huge market, and we’re going to coexist with a more closed market?

No, there is going to be a huge market. Today, we only have 3 million tractors sold every year, and we have 2 billion-plus acres of cropland. I’m not talking about grazing land and stuff — cropland. By comparison, 70-plus million cars are sold every year. So it tells you the disparity and also the opportunity for agriculture smart machines.

So long story short, in the next 10 years, we’ll need a lot more of these machines if you’re going to stop using chemicals and do more operations on the farm. So this 3 million is going to grow. It’s already been growing for the last five, six years. This market is going to blow up. There’ll be new entrants into this market. We are seeing that. We are seeing people from the food ecosystem come in, not just the equipment ecosystem. We are seeing input companies like fertilizer companies are now building devices. So this whole market is going to blow up, and our whole idea is to allow this to happen by giving them the technology that allows them to build smart electric autonomous machines for farming.

So, is that your revenue stream — the platforms and the technologies — or is it actually selling the tractors?

So, right now, we make money in three ways. We sell tractors, yes, we make money on the device side. We also sell subscriptions to our Connect and Automate platforms, which is the digital subscriptions that farmers pay us for. But the third revenue stream is our licensing revenue stream. Now, Case New Holland is our first one. They’ve already announced two tractors powered by Monarch technology. And now, they’re using our verbiage, which is an open ecosystem to differentiate and bring a new play to the ag market compared to what John Deere is doing. So long story short, three revenue streams: hardware, digital subscriptions; and / or your licensing. And we have unlocked all three already. So these are not hopes and dreams. They are recognized revenues sitting on our financial statements for all three. So the market is ready.

I grew up in Racine, Wisconsin, driving past the Case factory every single day of my life. You can see why I’m obsessed with tractors. Let’s talk about the actual physical challenges of an autonomous EV tractor, whether it’s yours or someone using your platform. It’s all the same problems as cars, right? Yesterday, the Rivian CEO was here. Somebody asked him, “What happens if this thing lights on fire?” That’s hard on a road. What happens if it happens in a field? How are you protecting the batteries? How are you sourcing the batteries? How’s that going to work?

So a couple of things there. Number one, ag is very challenging in terms of robustness and durability. The shock loads that a tractor sees on a day-to-day basis would set off the alarms on your car, set off the airbags, and would turn off your battery system right away for safety. We see that on a day-to-day basis. The amount of movement also that we see — whether it’s in terms of climbing hills, or our roof system when our GPS moves around two and a half feet sometimes. So how do you get a couple of inches of accuracy when the tractor platform is itself moving feet?

So, there are a number of technical challenges, number one. Number two is, on the safety side, we are able to leverage all the work that’s been done — both on the EV platform as well as on the autonomous platforms. So we get to stand on the shoulders of all the people that have done this work in urban mobility but take it in a different way. And the challenges we face in ag, other than the robustness side, are margins. Farming is a very low-margin business, which means we have to provide value for the farmer as a product from hour one.

If you tell farmers the payback is four years, you and I might be amazed by it, they’ll walk away. So payback for farmers has to be in months for them to actually buy this. So we had to make sure that the tractor saved money on diesel. Autonomy was a big unlock. Tractor drivers are very skilled operators; if they get a job wrong, it shows up in the yield six months later. So those are the kind of challenges that we’re solving today, and those are all product challenges that we ran into.

Is there a take-up from farmers on autonomy? Are they saying, “Fine, let the tractor drive itself”?

Right now, I’m amused to see some of the numbers from the automotive OEMs. But we actually have a 30 percent attach rate on our autonomy. I’ll tell you what that means. That means 3 out of 10 of our customers are paying an annual subscription for autonomy today worth $8,000-plus.

And you said you hand the tractor over, you walk away, good luck. How do you make sure they’re safe? On roads, you have rules, you have laws, you’ve got a Department of Transportation. On a farm, what happens if there is a tractor on the loose?

So, that’s where the safety regimens kick in. Yes, everything is still geofenced. We have a whole deployment team that helps them on day one. This is very much like deploying enterprise software. Where we walk in there, and we say, “We’ll train your whole team. Let’s set it up. We’ll help you just take an outside geofenced map of your block. We’ll tell you what the first row, last row, middle row looks like, check your connectivity. And then you can start to use operations.” If in doubt, the whole thing comes to a stop. It’s supervised autonomy. It’s not tele-op; it’s supervised autonomy. So the supervisor can jump in and keep track of six to eight tractors at a time and say, “Oh, that thing is asking me for some information.”

This is your supervisor as part of the subscription, or this is the farmer?

Farmer-supervised. When I say supervisor, we have elevated the existing tractor driver. One thing that I was blown away by 10 years ago was just by looking at how Uber scaled in countries like India. I went there, and this person who came in from the village who didn’t speak the same language I did was able to drive a car, take me to my destination. The whole transaction happened, and he was able to make money. If they can do that, can we elevate an existing tractor driver to be a supervisor of a fleet of six to eight tractors with the right technology abstraction? Yes, we can, and that’s what we’re doing.

Farmers are obviously very concerned about durability, about repairability. These are the things that people are concerned about with EVs. How durable is this battery? How durable is this machine? How expensive is it to fix?

So, that’s a great question. Tractors are very often used for long periods of time for two reasons. Number one, there’s no new value that you get by getting a new tractor. It doesn’t give you something that the old tractor doesn’t, especially in the small tractors. So people tend to hang on because the new machines are actually less reliable, thanks to all the emissions equipment. The second thing is, essentially, they’re looking for a payback here. So, the value proposition comes from the tractor maintenance costs overwhelming you. That’s why they swap tractors.

With our tractor, our battery comes with an eight-year warranty. We understress the battery right now. This is an energy play and not a power play, number one. Number two, there’s no DC fast-charging on farms because the electric infrastructure doesn’t exist. So we take advantage of that on the product side to increase the longevity of the pack. But also, more importantly, we have built this to be sustainable. If you look at our tractor, when you go out and check it out, you’ll see that the battery is swappable, which means tomorrow, when there are new chemistries, we’ll just swap the battery out. You don’t need to sell your whole tractor and buy a new one, number one.

Number two, the roof system, which is completely self-independent — if some of you walk out there, do pay attention. There are only two cables and four bolts that hold the whole roof down. The two cables are data and power. So that whole roof can be upgraded two, three years from now with a new sensor suite, new compute, and new connectivity. All of that is in the roof. So what this means is, farmers can hang onto the platform, upgrade the roof if they want to, upgrade the battery if they want to, and get even better lifetime from our tractor than what a traditional tractor does today.

We have questions beginning to line up here. I’ve got a couple more for you. You mentioned DC fast charging. Charging is a pain on cars, on roads with infrastructure. How are farmers managing this? What’s the range? What’s the longevity of the tractor?

So, that’s one of the big challenges that is actually preventing the energy transition of farming: electric infrastructure like you’re pointing out. What the tractor is doing is, for the first time, if a farmer buys 10 of our tractors, that’s a megawatt-hour of energy. If they deploy solar on the farm, which we are now enabling them to do as a package, they get even better payback both on the solar side as well as on the tractor side. The reason for that is, our tractor actually does triple duty. It’s a tractor; it acts as a mobile genset. So for the first time, the farmer can take a tractor to the middle of the field, plug stuff in, and power stuff off of their tractor, just like what the Ford Lightning does.

More importantly, while it’s standing at your barn connected to your solar, it acts as energy storage, making you money as a farmer. So in California, there’s a program where farmers can make money by putting this energy back into the grid. And also by demand response programs, which utility companies love in rural areas. They might not like it if you do it in downtown San Francisco. But in rural areas, where there’s limited supply, they like that. So this triple play is a great product view for us to allow farmers to get more utilization and more revenue streams from a tractor. So that’s how we are addressing the limitations of infrastructure. We also have a swap cart that has its own charger. So you can actually take it in the middle of the field, swap the battery on our tractor, and keep going 24/7.

Last thing you mentioned, this is not just happening in the United States, particularly on the energy side, you’re expanding much larger.

Yeah. Our goal from day one has always been that this is the device. Every device on our farm needs to be zero emissions, needs to be some form of automation with the lack of labor that we have in farms, and needs to be smart. So you and I know how our food was grown and also we can allow farmers to make more money. With that goal in mind, we built a tractor that will scale to every farmer. Our goal was a farmer in Africa or South Asia can eventually afford one.

So I’m super excited to announce that we have just signed a partnership deal with the largest clean-energy infrastructure company in India, who is going to deploy our tractors in India at scale as a service so that small farmers who have two or three acres can just rent a tractor when needed from the infrastructure deployment and then use it and return it. And that, for me, is going back full journey to taking this tractor back to countries like India.

That’s amazing. You heard it here first.

Audience Q&A
Nilay Patel: Alright. Questions.

Daniel Vestergaard: Thank you for this. This is so fascinating. I’m Daniel from DR [Danmarks Radio]. A bit more elaboration on this. Getting a new device like this into the hands of farmers because they are so dependent on interconnectivity to their old equipment. And sometimes they also share the tractor between farmers with all this equipment. And this tends to be very conservative because they know what they get. How have you broken those barriers?

Praveen Penmetsa: That’s a great question. And that comes to our big differentiator as Monarch Tractor compared to our competitors. You made a great point, which is, we cannot change farm operations. People don’t understand that farmers get 40 iterations; forty tries in their lifetime at farming. That’s 40 seasons. If you ask them to say, “Hey, can you try something new?” That’s one down, right?

So, what we have done with our tractor that is very different to everybody else is, we tell our farmers, “You can use the same implements that you have on your farm today. You can farm the same way. All I’m asking you to do is to swap out your tractor for ours. That’s it.” There’s no operational change: same implements, same attachments, everything else remains the same, same driver.

So, that has been the key to the transition. The reason other people don’t do it is that it’s crazy hard. We have now had to make sure that our hydraulics, our gearboxes, all the implement attachments, everything, can be bi-wire controlled and can be controlled from the cloud, and we get full data on each one of those things. That’s the deep technology part of this simple-looking tractor.

DR: When are you rolling out in Europe?

PP: So, we actually have two tractors that have hit the ground in Europe this week. The first one is being piloted in Italy by the end of next week. We also have a tractor in New Zealand now. And that’s the great thing about tractors is you can go anywhere, unlike a car. There are no regulations in compliance. If you guys are trying to get your device into market and you want to skirt regulations and compliance, call it a tractor.

Jay Peters: This is Jay Peters with The Verge. How far away do you think we are from some kind of federal right-to-repair legislation passing for agricultural equipment?

PP: So, there are two things there, just to unpack that a little bit. The reason there’s a right-to-repair issue today — and I have a lot of sympathy for all the diesel companies that build tractors — is that’s all emissions regulations-driven. You cannot let somebody monkey with your emissions equipment that is not certified to do so. So the tractor companies are struggling with that part. But the key here is, once we transition to electric smart devices, where the data can be open and it’s not emissions-driven or compliance-driven, the data pipe should be open.

So that’s the dichotomy is, you’re asking me to answer questions on will the government allow farmers to monkey with emissions equipment on the farm? They won’t. Not going to happen. But if you go to electric zero emissions, and it’s not emissions-related anymore, farmers should have every right to modify their tractor, come up with their own attachments, train it, and use it, which is what our tractor does. They can make their own custom implements, attach it to our tractor, run some training logic. We train the platform and start operations.

NP: Alright, very quickly. One more.

Audience member: Two different points. I was curious about your road map on the battery technology. Again, we see it on the renewables side of just extremely volatile, high degradation, extreme variance in heat, farming is in heat. So just curious around that. But also curious just around your technology that you’re seeing on how you can help local farmers. What data are you already seeing that’s a success story that’s making lower labor or lower water issues or lower pesticide use?

PP: Thanks a lot. So, the first one — I’ll make it short — is the battery side of it. There’s a lot of work going on on batteries. But our whole goal is, how do we give maximum energy to our farmers with maximum lifecycle? Which is what you talked about is, how long will this battery last? And for us, we don’t need any advanced chemistries there. The existing chemistries, it’s a matter of getting the cost down to where the farmers can afford it and enough energy. Our tractor has more than 100 kilowatt-hours of battery on it, and we sell that whole thing for less than $90,000 today. It’s pretty crazy. I think we can do more because we want to sell our tractor for $10,000 to $15,000 in India. That’s the challenge on the battery side.

On the safety side, we’re able to leverage a lot of the good work that’s happening on automotive and energy storage. So, we try to productionize that instead of starting new chemistry work. So that’s that side of it. You brought up a great question. I’ll give you two small, short snippets of how data’s been amazing. We noticed that when we deployed off our tractors to farmers, they started using it for all this mowing stuff. And we noticed that one of the farmers was getting nine-plus hours, and the other farmer was getting four or five hours.

Historically, they would not have noticed it. It would have shown up as diesel consumption. Nobody cares about diesel consumption on a tractor, right? But what we noticed was like, “Hey, why is there an energy delta?” Our cameras that recognized the mower said, “Hey, we can see it. The mower settings are off. Yes, they’re still mowing, but they’re using a lot more energy for a simple operation.” So we were able to, using AI, using vision cameras, say that your operation can be more energy-efficient for the first time if you do these small adjustments, and for the first time, your operator now gets feedback.

Historically, nobody would have noticed it. Maybe at the end of the month, they would be like, “Why is our diesel bill a little bit higher?” That’s a big change. The second big thing is, we gave our tractor to our farmers, and we said, “Hey, what do you want to use it for? You should probably mow with this.” And they were like, “No, I’m going to attach this weeding machine that’s going to cut grass between these vineyards.” We are like, “Why?” And they were like, “Well, we always wanted to use this machine, but we could not afford the labor cost of running this five times in a season. So we just spray chemicals right now. Once we spray it, it’s done for the season. And the chemicals are expensive.”

So the best example for us was, from a data standpoint, they are now able to see where they want to spray. They spray only in those places if there’s a problem. In every other place, they use our mowing machine, the under-the-line weeder, to basically cut the grass instead of spraying expensive, dangerous chemicals. Huge savings for them on the money side. They’re able to use the data to figure out where and how to spray. They’re able to use the data to run their operations for more efficiency. And this is happening in month three of our deployment. And that’s the power of AI and vision coming off of the cameras off the tractor.

NP: I told you people: tractors. You didn’t believe me. I saw the doubt in your eyes. Praveen, thank you so much. That was incredible.

PP: Thanks a lot.

NP: Go look at the tractor outside. It is so cool.

By：Nilay Patel
Link：https://www.theverge.com/23895900/praveen-penmetsa-monarch-tractor-autonomous-ev-interview-decoder

‘The Android of agriculture’: Monarch Tractor CEO Praveen Penmetsa on the future of farming

Monarch Tractor’s Praveen Penmetsa has a grand vision for agriculture, and it includes autonomous electric smart tractors powered by AI.


[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

## Question from the Internet:

*“Is personal computer artificial intelligence (AI)?”*

As long as we consider “intelligence” performing fast and effective calculations, uploading and combining data and information, and we judge and value everything through efficiency, productivity, and other quantitative measures — the way we also measure people these days — then a personal computer is also “AI.”

And since we also try to behave and act “robotically,” discarding our most important and truly Human quality, which is our emotions and feelings that make us Human, we are also acting like “AI.”

We will become Human beings when we fully understand our emotional side, we also accept that all our inherent emotions and our actions based on our emotions are 100% self-serving, self-justifying, egocentric, and individualistic, and then we learn and practice how to use our intellect to aim and use our emotional driving force — our actual matter that gives us the sense of life is the desire that seeks fulfillment — for the sake of others and the benefit of all.

It is also then that we will know how to use all our tools — like personal computers and AI — for positive, constructive, and collectively beneficial goals and purposes.

https://youtu.be/XUSRctk-WLA

By：Zsolt Hermann
Link：https://samechphoto.medium.com/are-we-robots-or-human-beings-1ab1de5c535e


[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

## Introduction

Artificial Intelligence (AI) has undergone a remarkable transformation over the past few decades, evolving from a concept confined to science fiction into a tangible force that influences nearly every aspect of our lives. This essay will delve into the multifaceted journey of AI, exploring its historical roots, its development, its current state, and its potential future implications. With a focus on its various applications, ethical considerations, and societal impacts, we will examine how AI has transcended its early fictional portrayals to become an integral part of modern society.

## I. Historical Roots of Artificial Intelligence

The idea of machines emulating human intelligence dates back to antiquity, with ancient myths and legends featuring automatons and golems that exhibited humanoid qualities. However, it wasn’t until the 20th century that AI began to take shape as a scientific discipline. The following key developments marked its historical roots:

1. Alan Turing and the Turing Test: Alan Turing, a British mathematician, and computer scientist, laid the theoretical foundation for AI with his concept of the Turing Test in 1950. This test challenged the ability of a machine to exhibit intelligent behavior indistinguishable from that of a human.
2. Early AI pioneers: In the 1950s and 1960s, computer scientists like John McCarthy, Marvin Minsky, and Herbert Simon made significant strides in AI research, developing the first AI programs and formalizing the field’s principles.

## II. The AI Winter: Challenges and Stagnation

Despite initial optimism, the AI community faced numerous challenges during the 1970s and 1980s, leading to a period known as the “AI winter.” Key factors contributing to this stagnation included:

1. Unrealistic expectations: Early AI projects, such as General Problem Solver (GPS) and the Logic Theorist, generated unrealistic expectations about the pace of AI development, causing disappointment when progress slowed.
2. Limited computing power: The computational resources available at the time were insufficient to support the complex algorithms and massive data processing required for advanced AI.
3. Lack of data: AI relies heavily on data, and the limited availability of datasets hindered progress in machine learning and neural networks.

## III. The Renaissance of AI: Breakthroughs and Paradigm Shifts

The AI field experienced a resurgence in the 21st century, driven by several factors:

1. Big data and improved computing power: The digital age ushered in a wealth of data and more powerful computing resources, enabling the training of large-scale neural networks and the development of machine learning algorithms.
2. Deep learning revolution: Deep learning, a subfield of AI that involves artificial neural networks with multiple layers, became a game-changer in tasks like image recognition, natural language processing, and speech recognition.
3. Availability of open-source tools: The open-source movement democratized AI development, allowing researchers and developers worldwide to collaborate and build on existing frameworks and models.

## IV. Applications of Artificial Intelligence

Today, AI applications span a wide array of fields, revolutionizing industries and transforming daily life. Here are some notable applications:

1. Healthcare: AI aids in disease diagnosis, drug discovery, personalized medicine, and robotic surgery, improving patient outcomes and healthcare efficiency.
2. Autonomous vehicles: Self-driving cars rely on AI algorithms, sensors, and machine learning to navigate safely and reduce traffic accidents.
3. Natural language processing: AI-driven chatbots, language translators, and virtual assistants like Siri and Alexa have become commonplace, enhancing communication and convenience.
4. Finance: AI is used for fraud detection, algorithmic trading, and risk assessment, making financial markets more secure and efficient.
5. Manufacturing: Robotics and AI-driven automation streamline production processes, increasing productivity and product quality.
6. Entertainment: Recommendation algorithms powered by AI personalize content on platforms like Netflix and Spotify, enhancing user experiences.
7. Climate change and environmental monitoring: AI helps analyze climate data, track deforestation, and predict natural disasters.

## V. Ethical Considerations and Challenges

The proliferation of AI technologies raises several ethical concerns and challenges:

1. Bias and fairness: AI systems can inherit biases from training data, leading to unfair outcomes in areas like hiring, lending, and criminal justice.
2. Privacy: The collection and analysis of vast amounts of personal data for AI applications raise concerns about individuals’ privacy and data security.
3. Accountability: Determining responsibility when AI systems make mistakes or cause harm is a complex legal and ethical issue.
4. Job displacement: Automation driven by AI can lead to job loss in certain industries, requiring policies and strategies for workforce transition.
5. Autonomous weapons: The development of AI-powered military systems raises concerns about the potential for autonomous warfare and the lack of human control.

## VI. Societal Impacts and Future Prospects

The widespread adoption of AI is reshaping society in profound ways:

1. Economic impact: AI is a driver of economic growth, creating new industries, job opportunities, and revenue streams.
2. Education and workforce development: Preparing the workforce for an AI-dominated future requires a focus on AI education and upskilling.
3. Healthcare transformation: AI-powered healthcare technologies promise to improve patient care, but their adoption must address privacy and ethical concerns.
4. Climate and sustainability: AI can play a vital role in addressing environmental challenges, from optimizing energy usage to managing natural resources.
5. Regulation and governance: Governments and international bodies are grappling with the need for regulations to ensure the responsible development and deployment of AI.
6. Future trends: Quantum computing, AI ethics, human-AI collaboration, and brain-computer interfaces are among the exciting frontiers in AI research.

## Conclusion

The journey of artificial intelligence from its inception to its present state and future prospects is a testament to human ingenuity and the relentless pursuit of knowledge. AI has transcended its origins in science fiction to become an integral part of our daily lives, with applications spanning healthcare, transportation, finance, entertainment, and more. However, it also poses complex ethical challenges and requires careful governance to ensure that its benefits are widely distributed and its risks mitigated. As we move forward into an AI-driven future, the key lies in responsible development, ethical considerations, and collaborative efforts to harness the full potential of this transformative technology.

By：thewriter.
Link：https://medium.com/@thewriter.../the-metamorphosis-of-artificial-intelligence-from-sci-fi-dreams-to-real-world-applications-488010085ff9

The Metamorphosis of Artificial Intelligence: From Sci-Fi Dreams to Real-World Applications


[Read more related articles, you can follow me on the anti-censorship long content platform yakihonne.com
](https://yakihonne.com/users/nprofile1qqs9gchs4wh7ecxvy84tv5dy92c9ah9elclk94jz7d87jfzgekhhapcpr3mhxue69uhkummnw3ez6vp39eukz6mfdphkumn99e3k7mgpremhxue69uhkummnw3ez6vpj9ejx7unpveskxar0wfujummjvuq3gamnwvaz7tmjv4kxz7fwv3sk6atn9e5k7z0dxcd)

Question from the Internet:

“In the future, will AI replace doctors in all surgical operations?”

I am an orthopedic surgeon.

Considering all the intricacies of operations and the constant adjustments we have to make almost all the time, it is difficult to imagine how robots could perform such adjustments successfully and efficiently. After all, it is difficult to create protocols and programs for each and every unexpected situation and complication that could appear during surgery.

But that is not all.

In my opinion, the overwhelming component in the successful outcome of surgery and medical treatment is the emotional and psychological state of the patient and the patient’s “emotional” connection to one’s doctor.

In my experience, even when an operation is less than perfect technically, it could still lead to a very good or even perfect outcome if the relationship and ongoing “continuity” between the surgeon and the patient is good and based on trust and mutual understanding.

While it is widely debated, most of our illnesses or medical conditions are “psychosomatic,” thus “simply” knowing how to perform an operation technically brilliantly, knowing exactly what medicine to give and how often, is not enough. The emotional “human” connection between the doctor and patient is more important than the actual medical treatment itself.

https://youtu.be/6MRYJbOeGqE

By：Zsolt Hermann
Link：https://samechphoto.medium.com/can-robots-fully-replace-surgeons-d6d92fb519e5