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 new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

New quantum-computing advances heighten threat to elliptic curve cryptosystems

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 ...

TurboQuant Has The Potential To Fundamentally Change How Search (And AI) Works

Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.
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Artificial intelligence

Transport Workers Union President John Samuelsen discusses the potential impact of AI on transportation on 'Mornings with Maria.' Trump names David Sacks as PCAST co-chair, expanding his AI and crypto ...
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...