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🔔 Subscribe now with all notifications on for more Elon Musk, SpaceX and Tesla videos!Elon musk has finally tried neuralink on humans! But what is this neuralink? And how much effect will it have on us?The existence of Neuralink was first made public in 2017, when The Wall Street Journal reported on it. The company’s first significant public appearance was in 2019, when Elon Musk and other members of the Neuralink leadership team demonstrated their technology in a live streamed presentation. Neuralink’s chip is roughly the size of a penny and would be implanted in a person’s skull. An array of tiny wires, each nearly 20 times thinner than a human hair, spread out from the chip and into the patient’s brain. The cables include 1,024 electrodes that can monitor brain activity and, potentially, electrically activate the brain. This data is wirelessly transferred by the chip to computers, where it may be examined by researchers. A stiff needle, similar to a sewing machine, would be used to punch the flexible wires emerging from a Neuralink chip into a person’s brain. In January 2021, Neuralink produced a video displaying the robot.
Musk claims that the machine will make implanting Neuralink electrodes as simple as LASIK eye surgery. While this is an audacious assertion, neuroscientists told Insider in 2019 that the machine has several extremely promising aspects.📺 Watch the entire video for more information!#elon #musk #neuralink #spacex #tesla #elonmusk.

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Continue reading “JUST HAPPENED! Elon Musk FINALLY Trialed Neuralink On Humans!” »

The paper argues that AI may want to take control and do its own thing.

Artificial intelligence (AI) has been making impressive progress and has, in many ways, improved the world. But could it become dangerous? A new paper co-authored by the University of Oxford and Google DeepMind researchers published last month in the peer-reviewed AI Magazine.

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Continue reading “AI may destroy humanity, DeepMind scientists claim in co-authored paper” »

Visit https://brilliant.org/Veritasium/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Digital computers have served us well for decades, but the rise of artificial intelligence demands a totally new kind of computer: analog.

Thanks to Mike Henry and everyone at Mythic for the analog computing tour! https://www.mythic-ai.com/
Thanks to Dr. Bernd Ulmann, who created The Analog Thing and taught us how to use it. https://the-analog-thing.org.
Moore’s Law was filmed at the Computer History Museum in Mountain View, CA.
Welch Labs’ ALVINN video: https://www.youtube.com/watch?v=H0igiP6Hg1k.

Continue reading “Future Computers Will Be Radically Different (Analog Computing)” »

▶ Check out Brilliant with this link to receive a 20% discount! https://brilliant.org/NewMind/

The millennia-old idea of expressing signals and data as a series of discrete states had ignited a revolution in the semiconductor industry during the second half of the 20th century. This new information age thrived on the robust and rapidly evolving field of digital electronics. The abundance of automation and tooling made it relatively manageable to scale designs in complexity and performance as demand grew. However, the power being consumed by AI and machine learning applications cannot feasibly grow as is on existing processing architectures.

Continue reading “The AI Hardware Problem” »

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

The mainframe, the hardware stalwart that has existed for decades, is continuing to be a force in the modern era.

Among the vendors that still build mainframes is IBM, which today announced the latest iteration of its Linux-focused mainframe system, dubbed the LinuxOne Emperor 4. IBM has been building LinuxOne systems since 2015, when the first Emperor mainframe made its debut, and has been updating the platform on a roughly two-year cadence.

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A grim future awaits the United States if it loses the competition with China on developing key technologies like artificial intelligence in the near future, the authors of a special government-backed study told reporters on Monday.

If China wins the technological competition, it can use its advancements in artificial intelligence and biological technology to enhance its own country’s economy, military and society to the determent of others, said Bob Work, former deputy defense secretary and co-chair of the Special Competitive Studies Project, which examined international artificial intelligence and technological competition. Work is the chair of the U.S. Naval Institute Board of Directors.

Continue reading “Losing to China in AI, Emerging Tech Will Cost U.S. Trillions, Threaten Security, Says Panel” »

In recent years, engineers and computer scientists have created a wide range of technological tools that can enhance fitness training experiences, including smart watches, fitness trackers, sweat-resistant earphones or headphones, smart home gym equipment and smartphone applications. New state-of-the-art computational models, particularly deep learning algorithms, have the potential to improve these tools further, so that they can better meet the needs of individual users.

Researchers at University of Brescia in Italy have recently developed a computer vision system for a smart mirror that could improve the effectiveness of fitness training both in home and gym environments. This system, introduced in a paper published by the International Society of Biomechanics in Sports, is based on a deep learning algorithm trained to recognize human gestures in video recordings.

Continue reading “A deep learning-augmented smart mirror to enhance fitness training” »

How can mobile robots perceive and understand the environment correctly, even if parts of the environment are occluded by other objects? This is a key question that must be solved for self-driving vehicles to safely navigate in large crowded cities. While humans can imagine complete physical structures of objects even when they are partially occluded, existing artificial intelligence (AI) algorithms that enable robots and self-driving vehicles to perceive their environment do not have this capability.

Robots with AI can already find their way around and navigate on their own once they have learned what their environment looks like. However, perceiving the entire structure of objects when they are partially hidden, such as people in crowds or vehicles in traffic jams, has been a significant challenge. A major step towards solving this problem has now been taken by Freiburg robotics researchers Prof. Dr. Abhinav Valada and Ph.D. student Rohit Mohan from the Robot Learning Lab at the University of Freiburg, which they have presented in two joint publications.

The two Freiburg scientists have developed the amodal panoptic segmentation task and demonstrated its feasibility using novel AI approaches. Until now, self-driving vehicles have used panoptic segmentation to understand their surroundings.

AN ARTIFICIAL intelligence text-to-image model has forecasted a disturbing end to mankind’s existence.

The popular Craiyon AI, formerly DALL-E mini AI image generator, designed some barren landscapes and scorched plains when prompted to predict the end of humans.

The AI has been trained to create its masterpieces using unfiltered data from the internet.