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

Charles H. Bennett and Gilles Brassard, winners of this year’s Turing Award, spent their lives touting the advantages of the ...

CoinDesk Research maps five crypto privacy approaches and examines which models hold up as AI improves. Full coverage of ...

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

They went on to show this approach could allow a quantum computer to break 256-bit elliptic curve cryptography (ECC) in 10 days while using 100 times less overhead than previously estimated. In a ...

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

Google cut the qubits needed to break crypto encryption by 20x and withheld the circuits. Here's why that matters.

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—.

Sandisk stock fell ~7% after Google TurboQuant, but compression applies only to KV cache, not total storage demand. Learn why SNDK stock is upgraded to strong buy.

Spread the loveIn a groundbreaking development that has sent shockwaves through the tech industry, Google announced the launch of its new AI compression algorithm, TurboQuant. This innovative ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...