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Russian chess legend Garry Kasparov was beaten by a supercomputer — but when it comes to artificial intelligence, he is firmly convinced that it’s the humans who pose the real threat.

Kasparov has remained fascinated by technology since his famous matches against IBM’s Deep Blue computer in the 1990s.

When he wasn’t busy taking on 10 simultaneous chess opponents at Lisbon’s Web Summit this week — handily beating them all in 45 minutes — he spoke to AFP about AI’s growing role in society.

It looks like China is building Skynet, with plans for a prototype exascale computer to be built this year.

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.

Continue reading “China Has Already Reached Exascale — On Two Separate Systems” »

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.
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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.

Continue reading “Reading Memories from the Human Brain — SECRET Brain Project” »

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.
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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.
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#gpt #openai #ai

Quantum physicists at the University of Copenhagen are reporting an international achievement for Denmark in the field of quantum technology. By simultaneously operating multiple spin qubits on the same quantum chip, they surmounted a key obstacle on the road to the supercomputer of the future. The result bodes well for the use of semiconductor materials as a platform for solid-state quantum computers.

One of the engineering headaches in the global marathon towards a large functional quantum computer is the control of many basic memory devices – qubits – simultaneously. This is because the control of one qubit is typically negatively affected by simultaneous control pulses applied to another qubit. Now, a pair of young quantum physicists at the University of Copenhagen’s Niels Bohr Institute –PhD student, now Postdoc, Federico Fedele, 29 and Asst. Prof. Anasua Chatterjee, 32,– working in the group of Assoc. Prof. Ferdinand Kuemmeth, have managed to overcome this obstacle.

The brain of the quantum computer that scientists are attempting to build will consist of many arrays of qubits, similar to the bits on smartphone microchips. They will make up the machine’s memory.

Quantum physicists at the University of Copenhagen are reporting an international achievement for Denmark in the field of quantum technology. By simultaneously operating multiple spin qubits on the same quantum chip, they surmounted a key obstacle on the road to the supercomputer of the future. The result bodes well for the use of semiconductor materials as a platform for solid-state quantum computers.

One of the engineering headaches in the global marathon towards a large functional quantum computer is the control of many basic memory devices—qubits—simultaneously. This is because the control of one qubit is typically negatively affected by simultaneous control pulses applied to another qubit. Now, a pair of young quantum physicists at the University of Copenhagen’s Niels Bohr Institute working in the group of Assoc. Prof. Ferdinand Kuemmeth, have managed to overcome this obstacle.

Global qubit research is based on various technologies. While Google and IBM have come far with quantum processors based on superconductor technology, the UCPH research group is betting on semiconductor qubits—known as spin qubits.

Taiwan Semiconductor Manufacturing Company makes 24% of all the world’s chips, and 92% of the most advanced ones found in today’s iPhones, fighter jets and supercomputers. Now TSMC is building America’s first 5-nanometer fabrication plant, hoping to reverse a decades-long trend of the U.S. losing chip manufacturing to Asia. CNBC got an exclusive tour of the $12 billion fab that will start production in 2024.

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Continue reading “Secretive Giant TSMC’s $100 Billion Plan To Fix The Chip Shortage” »

The goal of tackling global warming by turning carbon dioxide into fuel could be one step closer with researchers using a supercomputer to identify a group of “single-atom” catalysts that could play a key role.

Researchers from QUT’s Centre for Materials Science, led by Associate Professor Liangzhi Kou, were part of an international study that used theoretical modelling to identify six metals (nickel, niobium, palladium, rhenium, rhodium, zirconium) that were found to be effective in a reaction that can convert carbon dioxide into sustainable and clean energy sources.

The study published in Nature Communications involved QUT researchers Professor Aijun Du, Professor Yuantong Gu and Dr. Lin Ju.