Explore 100 gadgets so advanced they’re honestly terrifying. From AI surveillance to autonomous drones, discover tech that ...

Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...

Last week, cybersecurity researchers woke up to bad news. Research in new papers published by Google and a quantum computing startup, Oratomic, suggests that quantum computers capable of breaking the ...

Google's TurboQuant algorithm significantly reduces memory usage for large language models. Memory chipmakers could face pressure, but investors may be worrying too much. This industry, and one ...

AI Anthropic's new Claude Mythos AI model has apparently found thousands of vulnerabilities in 'every major operating system and every major web browser, along with a range of other important pieces ...

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

The team from Bluesky has built another app — and this time, it’s not a social network but an AI assistant that allows you to design your own algorithm, create custom feeds, and, one day, vibe-code ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, a leader in cardiovascular AI, has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its pulmonary hypertension (PH) algorithm, an ...

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on ...