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

Minimum Cost First Algorithms for Multi-Function Phased Array Radar Scheduling

Abstract: Earliest Start Time (EST) and Earliest Deadline (ED) are two classical radar task scheduling algorithms, where task priorities are not considered at all. In this paper, we propose the ...
Medical Xpress

Fiber-free processed foods hit emotional memory fast, especially in older brains

Past studies in animals have shown that a highly processed diet is linked to memory problems and inflammation in the aged brain—and the effect can happen fast, after just three days of poor eating. A ...
IEEE

Spintronic Content Addressable Memory With Integrated Boolean Logic and Arithmetic Functions

Abstract: To address growing data processing demands, traditional von Neumann architectures face increased power consumption and delay issues. In response, this paper presents a novel latch-based ...