Even as models keep getting larger, some companies are moving models in the opposite direction — with some impressive results. Caltech-originated AI ...

Traditional encryption methods have long been vulnerable to quantum computers, but two new analyses suggest a capable enough ...

Google Quantum just cut the qubit requirement to break Bitcoin encryption by 20x, and 6.7 million crypto addresses are in risk.

Bernstein upgraded Western Digital to Outperform from Market Perform, hiking its price target to $340 from $170, arguing that a sharp pullback driven by fears over Google’s new TurboQuant compression ...

With around 26,000 qubits, the encryption could be broken in a day, the researchers report in a paper submitted March 30 to ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

A team of researchers led by California Institute of Technology computer scientist and mathematician Babak Hassibi says it ...

Building a utility-scale quantum computer that can crack one of the most vital cryptosystems—elliptic curves—doesn’t require ...

Google's finding that breaking bitcoin's cryptography requires 20x fewer qubits than previously estimated has triggered the ...

A paper from Google could make local LLMs even easier to run.

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Google has released a new compression algorithm this week that it says can shrink the memory an AI model needs during inference by at least six times—.