Data science and analytics are entering a phase of recalibration, where measured contribution outweighs technical ambition. Executive focus has moved ...

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Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

The soaring cost and limited supply of computer memory is slowing some projects — and spurring creative approaches.

A new AI-based method reconstructs spatial information about where immune cells were originally located in an organ, even after these cells have been removed from the tissue and analyzed individually.

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

TL;DR: Micron introduces the world's first 256GB LPDRAM SOCAMM2 module with a monolithic 32Gb LPDDR5X die, offering one-third the power consumption and a smaller footprint. Designed for AI and data ...