Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

TurboQuant is aimed at reducing the size of the key-value cache, which Google likens to a “digital cheat sheet” that stores ...

Every time a client sent me a locked doc or a badly formatted contract, I’d waste half my day hunting for a legit free PDF ...

Generative artificial intelligence will increase the risks of disruption anywhere data is reasonably available, and where ...

His software brought printing into the digital age, allowing users to stop manually splicing columns of text and graphics and ...

Understanding the Landscape of Orthopedic Medical Devices Orthopedic medical devices encompass a wide range of products designed to support, align, prevent, or correct deformities and improve the ...

After compressing models from major AI labs, including OpenAI, Meta, DeepSeek, and Mistral AI, Multiverse Computing has ...

Twilio stock shows strong revenue growth and margin expansion, but valuation looks rich vs. peers. Read my analysis on TWLO ...

Industry’s first complete device-to-cloud solution delivers up to 90% bandwidth reduction with multi-carrier reliability for cost-effective video surveillance Semtech Corporation (Nasdaq: SMTC), a ...

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — without the hours of GPU training that prior methods required.

French private equity firm Ardian said it may avoid certain types of private credit investments in software as the sector grapples with the challenges posed by the disruption from developments in ...

When you don't know what to pay for a stock you tend to sell it. Right now, we have people selling technology shares left and right because they are unsure of what they own and what it might be worth.