A Caltech Lab at PrismML Just Fit an 8 Billion Parameter AI Model Into 1.15 GB. Announcing a Breakthrough in AI Compression: ...

Whether caused by cosmic radiation, voltage glitches, or adversarial attacks, bit flips threaten data integrity, safety ...

Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a ...

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 ...

Future quantum computers will need to be less powerful than we thought to threaten the security of encrypted messages.

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—.