Lifeboat Foundation

The Air Force’s Skyborg team flew two General Atomics MQ-20 Avenger stealth drones on the “multi-hour” Oct. 26 flight over California. One of the Ave… See more.

Two stealth drones soared over Edwards Air Force Base in California last week, offering some encouraging evidence that the U.S. Air Force’s new drone “brain” not only works—it works with a bunch of different drone types.

The Air Force hopes to install the Skyborg autonomy core system in a wide array of unmanned aerial vehicles. The idea is for the ACS to steer armed drones with minimal human control—even in the heat of battle. That way the drones can fly as robotic wingmen for manned fighters without demanding too much of the busy human pilots.

The value of attending major industry events like Nvidia’s GTC (GPU Technology Conference) is to see what companies are and are not focusing on going forward. Nvidia has transformed the agenda for GTC from gaming into one of the leading AI events. The agenda also includes HPC and data center networking topics, representing other areas Nvidia has been expanding into in the last few years. If the agenda for the upcoming GTC event is any indication, the company has greatly increased its focus on autonomous machines, which includes all forms of robotics.

In addition to autonomous vehicles, this GTC agenda includes more than ten sessions focused on autonomous machines. As the company has done with other market segments, the autonomous machines sessions will bring together experts from academia, the industry, and Nvidia to provide training, industry insights, and technical assistance in AI and robotics. Some of the experts attending include Brian Gerkey, Co-founder and CEO of Open Robotics, Patty Delafuente from the University of Maryland, Ajit Jaokar and Ayşe Mutlu form the University of Oxford, and Johan Barthelemy from the University of Wollongong. There will also be AI and robotics experts from Denso Wave, Digeiz, Hammerson, Integral AI, Milestone Systems, Nota, and SK Telecom presenting at the conference.

DeepMind is mostly known for its work in deep reinforcement learning, especially in mastering complicated games and predicting protein structures. Now, it is taking its next step in robotics research.

According to a blog post on DeepMind’s website, the company has acquired the rigid-body physics simulator MuJoCo and has made it freely available to the research community. MuJoCo is now one of several open-source platforms for training artificial intelligence agents used in robotics applications. Its free availability will have a positive impact on the work of scientists who are struggling with the costs of robotics research. It can also be an important factor for DeepMind’s future, both as a science lab seeking artificial general intelligence and as a business unit of one of the largest tech companies in the world.

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Luckily, this robot will do it for us.

#engineering.

https://bit.ly/3BhrrLr

Samsung’s next big product according to them seems to be a revolutionary neuromorphic computing chip which is attempting to enable Artificial Intelligence models to become as smart as humans. The top leading AI scientists are expecting for AI models to outpace the rate of moores law which means we’ll need to design new kinds of processors and computer chips beyond silicon. That’s where Samsung’s Brain of a Chip approach is supposed to help. It would be a chip that mimics the brain in terms of performance and power consumption which is called Neuromorphic chip design or computing and is believed to be the future of Artificial Intelligence.

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TIMESTAMPS:
00:00 Samsung’s new Path forward for AI
01:10 The History of AI-Hardware.
02:01 What are Neuromorphic Processors?
04:25 What could this enable?
06:40 So what’s the future of AI Computing?
09:06 Last Words.
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#samsung #ai #chip

The Rise of actually real and useful Nanobots making use of the rapidly advancing miniaturization of robotics and microchips through companies such as TSMC, Intel and Samsung. These nanobots are soon going to enable things such as full dive virtual reality, healing diseases such as cancer and potentially even increasing the longevity up to 200 years. These tiny computer/robots will enter our bloodstream and cross the blood brain barrier to read and write similar to how Brain Computer Interfaces such as Neuralink currently work. The future of technology is looking really exciting.

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TIMESTAMPS:
00:00 Have we reached the Nanobot-Era?
02:51 The Applications of Nanobots.
04:26 All the types of BCI’s.
06:44 So, when will there be Nanobots?
09:13 Last Words.
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#nanobots #ai #nanotechnology

Digital Storage Capabilities are about to increase 100x in the very near future with the biggest tech companies like Microsoft or Intel working on making DNA Storage a possibility and bringing it to consumers. This is being accomplished with advances in Artificial Intelligence models in combination with better understanding of Biotechnology. This is the future of storage technology and we may see petabytes of cheap storage in the form of AI very soon.
DNA digital data storage is the process of encoding and decoding binary data to and from synthesized strands of DNA Storage Technology.
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TIMESTAMPS:
00:00 Storage Today.
01:08 A new approach to Storage.
02:06 The difference between DNA and Storage.
04:30 When is the Future of Storage?
07:01 Microsoft’s Goal.
08:31 Last Words.
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#dna #ai #storage