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.

Researchers identify the Munc13-1 protein as a crucial molecular pathway for working memory, linking calcium signaling to synaptic strengthening.

Working memory is a cognitive function that is essential for carrying out everyday activities and temporarily retaining ...

Abstract: To leverage the complementary physical characteristics (e.g., dynamic response) of fuel cells (FCs) and supercapacitors (SCs), effective energy management strategies (EMSs) need to be ...

With only a few global players in the RAM business, memory supply has suddenly become constrained, as AI companies are ...

AI demand is triggering a historic memory-chip shortage. Meeting exponential demand for chips will be expensive and maybe even impossible.

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

New experiments suggest a biological missing link that helps lock in the long-term benefits of psychedelic-assisted PTSD treatment ...

Smartphone demand slowdown, memory price inflation, and PLI uncertainty weigh on near-term performance, even as backward integration and export growth support medium-term prospects.

Post-traumatic stress disorder (PTSD) is not only characterized by strongly encoded traumatic memories, but also by disrupted coordination across brain networks. New research shows that treatment with ...

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the ...

Kavli Institute for Brain and Mind, University of California, San Diego, United States; Shu Chien-Gene Lay Department of Bioengineering, University of California, San Diego, United States; From ...