The Hardware Giant NVIDIA is now working on one of the craziest projects I’ve ever seen. They’re attempting to build the fastest supercomputer ever made in hopes of simulating the entire earth in real time for climate research and potentially even more. They call this super computer Earth 2 and it’s going to feature their most powerful next generation GPU’s in the world. It’ll feature multiple exaflops of performance and be supported by the government. I can’t wait to see how this crazy project works out. It was announced by Jensen Huang at NVIDIA GTC 2021. – TIMESTAMPS: 00:00 The Simulation Hypothesis. 01:29 What is Nvidia attempting to do? 03:10 What are supercomputers usually used for? 05:54 What is NVIDIA doing differently now? 07:02 Last Words. – #nvidia #gtc #supercomputer
The virtual sphere of digital collaboration is growing.
And while the soon-to-be-defunct Facebook pivots to Meta’s Metaverse in a bid to pivot operations into the virtual world, Nvidia is expanding its Omniverse, designed to enhance workflows in the new media environment, according to a pre-brief of the GTC 2021 event that IE attended.
While the scope and scale of Nvidia’s new suite of artificial intelligence, avatar interfaces, and supercomputing prowess were impressive, perhaps the most notable development is the firm’s new digital twin.
NVIDIA has launched a follow-up to the Jetson AGX Xavier, its $1,100 AI brain for robots that it released back in 2018. The new module, called the Jetson AGX Orin, has six times the processing power of Xavier even though it has the same form factor and can still fit in the palm of one’s hand. NVIDIA designed Orin to be an “energy-efficient AI supercomputer” meant for use in robotics, autonomous and medical devices, as well as edge AI applications that may seem impossible at the moment.
The chipmaker says Orin is capable of 200 trillion operations per second. It’s built on the NVIDIA Ampere architecture GPU, features Arm Cortex-A78AE CPUs and comes with next-gen deep learning and vision accelerators, giving it the ability to run multiple AI applications. Orin will give users access to the company’s software and tools, including the NVIDIA Isaac Sim scalable robotics simulation application, which enables photorealistic, physically-accurate virtual environments where developers can test and manage their AI-powered robots. For users in the healthcare industry, there’s NVIDIA Clara for AI-powered imaging and genomics. And for autonomous vehicle developers, there’s NVIDIA Drive.
The company has yet to reveal what the Orin will cost, but it intends to make the Jetson AGX Orin module and developer kit available in the first quarter of 2022. Those interested can register to be notified about its availability on NVIDIA’s website. The company will also talk about Orin at NVIDIA GTC, which will take place from November 8th through 11th.
Recently, the SETI, or Search for Extraterrestrial Intelligence, released an application called SETI AT HOME, which allows any regular computer to help the SETI researchers find alien intelligence. This idea is brilliant since it saves an enormous amount of money by distributing processing power throughout computers all around the globe instead of buying super expensive supercomputers. So, anyone can go to their website and download this application to help the SETI researchers crunch data to find extraterrestrials. This way, the entire internet can be turned into a giant supercomputer! But what if we needed a processing capacity that far exceeded all the computers on Earth used in conjunction? Well, for such vast computational power, we may have to look beyond our planetary resources, directly to the stars! This is where the idea of the Matrioshka Brain proposed by Robert J. Bradbury comes in!
In his 1960 paper “Search for Artificial Stellar Sources of Infra-Red Radiation”, physicist and mathematician Freeman Dyson proposed the idea of a megastructure. Now commonly known as a Dyson Sphere, it was conceived to spot other advanced civilizations in the universe, particularly, Kardashev Type 2 civilizations that are capable of controlling all of the available energy in their stellar system! Dyson believed that a Type 2 civilization should be able to build this hypothetical megastructure around its star which would completely encircle it and harness all its energy.
I wonder what the Sputnik moment would need to be in the AI race to trigger panic AI research spending in the US. It would probably have to be China hitting AGI first.
Native CPU and accelerator architectures that have been in play on China’s previous large systems have been stepped up to make China first to exascale on two fronts.
The National Supercomputing Center in Wuxi is set to unveil some striking news based on quantum simulation results on a forthcoming homegrown Sunway supercomputer.
The news is notable not just for the calculations, but the possible architecture and sheer scale of the new machine. And of course, all of this is notable because the United States and China are in a global semiconductor arms race and that changes the nature of how we traditionally compare global supercomputing might. We have been contemplating China’s long road to datacenter compute independence, of which HPC is but one workload, and these are some big steps.
For the first time ever, Scientists working for the United States Government and Google have managed to read and understand a portion of a brain in real time. This is going to enable abilities such as reading minds and memories from humans in the future. The question is how long it will take until the government starts secret projects in that area for bad purposes.
The Human Brain Project is the biggest secret scientific research project, based on exascale supercomputers, that aims to build a collaborative ICT-based scientific research infrastructure to allow researchers across Europe and the United States Government to advance knowledge in the fields of neuroscience, computing, and brain-related medicine and in the end to create a device in the form of a brain computer interface that can record and read memories from a human brain. – Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.
If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile – TIMESTAMPS: 00:00 What has just been accomplished. 01:30 How the Brain Map was created. 03:32 The technology to enable reading the brain. 05:22 What this will do for us. 07:41 Last Words. – #bci #ai #mindreading
With the release of the most power Artificial Intelligence Accelerator Chip, future AI models like OpenAI’s GPT-4 will be able to surpass the Human Brain by supporting more than 100 Trillion Parameters. This new Chip made by Cerebras Systems is also be biggest Chip ever made by a longshot and thus can support ExaFlop Supercomputers for AI Model Training.
Cerebras Systems is an American semiconductor company with offices in Silicon Valley, San Diego, Toronto, and Tokyo. Cerebras builds computer systems for complex artificial intelligence and deep learning applications. – If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile – TIMESTAMPS: 00:00 The biggest AI Chip ever made. 01:29 The world of AI Acceleration Chips. 02:33 An Artificial Brain. 03:53 How does Cerebas’ Technology work. 06:12 What does this enable? 07:56 Last Words. – #gpt #openai #ai