Categories: AI/ML News

Brain inspired machines are better at math than expected

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The breakthrough could lead to powerful, low-energy supercomputers while revealing new secrets about how our brains process information.

New Class of Accelerated, Efficient AI Systems Mark the Next Era of Supercomputing

November 15, 2023

In "FAANG"

Turing’s Mill: AI Supercomputer Revs UK’s Economic Engine

The home of the first industrial revolution just made a massive investment in the next one. The U.K. government has announced it will spend £225 million ($273 million) to build one of the world’s fastest AI supercomputers. Called Isambard-AI, it’s the latest in a series of systems named after a…

November 8, 2023

In "FAANG"

‘AI-at-scale’ method accelerates atomistic simulations for scientists

Quantum calculations of molecular systems often require extraordinary amounts of computing power; these calculations are typically performed on the world's largest supercomputers to better understand real-world products such as batteries and semiconductors.

December 13, 2024

In "AI/ML News"

AI Generated Robotic Content