Nvidia shrinks LLM memory 20x without changing model weights

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.
IEEE

A Learning Model Predictive Control Framework With Long Short-Term Memory for Energy Management in Fuel Cell Hybrid Electric Buses

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 ...

Critical Chrome Security Flaws Threaten Billions of Users Worldwide

Google patches two actively exploited Chrome vulnerabilities that could allow attackers to crash browsers or run malicious code. Billions of users urged to update.
Nature

‘RAMmageddon’ hits labs: AI-driven memory shortage is impacting science

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