Google reveals algorithms to address AI memory challenges; memory and storage stocks drop

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Quantum Computing Built An Impossible Molecule — With Big Implications

An international team of scientists proved the never-before-seen molecule's exotic nature using a quantum computer, ...

Stabilized laser components could shrink quantum computers from room- to chip-scale

Scientists in the Riccio College of Engineering at the University of Massachusetts Amherst and the University of California ...