Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Privacy-preserving feature selection allows identifying more important features while ensuring data privacy, thus enhancing ...

Solana (SOL) based perpetual futures exchange Drift Protocol recently fell victim to a large-scale security breach on April 1 ...

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

Processor architectures are evolving faster than ever, but they still lag the pace of AI development. Chip architects must ...

Abstract: Wireless sensor networks are the combination of enormous number of tiny devices of low price and small size. These Tiny devices are used to recognize the event, gather the data and forward ...

A gene therapy called AMT-130 appears to be the first treatment to slow the progression of Huntington’s disease, an inherited and fatal neurological disorder that has resisted every previous attempt ...

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

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

The history of science and technology is marked by major breakthroughs—the theory of evolution, the splitting of the atom, the development of antibiotics—and a research team including faculty at ...