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297.
Nvidia pushes toward bold AI future
Jensen Huang shares plans for powerful chips, AI factories, and smart robots to shape industries and everyday life.
297.
A new kind of computer powered by human brain cells
Australian company Cortical Labs creates a biological computer that learns fast and uses less energy than regular AI systems.
297.
Microsoft’s Majorana 1 chip boosts quantum computing
Microsoft’s Majorana 1 chip uses a new topological design to push quantum computing toward solving major real-world problems.
297.
Trump trashes AI safety policy, announces Stargate project
Trump has revoked a 2023 executive order to reduce the risks of AI and announced the $500 billion Stargate project for AI infrastructure.
297.
A self-learning memristor-based chip for on-board AI
Researchers at KAIST have developed a memristor-based chip that learns in real-time for on-board AI applications.
990.
What is Nosana: Decentralized GPU Computing for AI Inference
Nosana brings decentralized AI computing to the forefront. Discover how this Solana-based project could change GPU access, making AI development more affordable and scalable for the Web3 future.
297.
Nvidia launches small, cheap and powerful AI supercomputer
Nvidia has launched the Jetson Orin Nano Super Developer Kit, a small supercomputing device for AI applications at the edge.
297.
Google unveils Willow, a fast quantum chip with error correction
Google has announced a new quantum chip called Willow, which has good error correction and does very fast quantum computations.
297.
Photonic hardware could make neural networks run faster and use less energy
MIT researchers have built a photonic chip that can do all the necessary calculations for deep neural networks using only light.