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

Effective NSGA-II Algorithm for a Limited AGV Scheduling Problem in Matrix Manufacturing Workshops with Undirected Material Flow

Abstract: Automatic guided vehicles (AGVs) are extensively employed in manufacturing workshops for their high degree of automation and flexibility. This paper investigates a limited AGV scheduling ...
IEEE

An Auxiliary Problem-Assisted Evolutionary Algorithm With Dynamics Regulation for Complex Constrained Multiobjective Optimization

Abstract: Existing constrained multiobjective evolutionary algorithms (CMOEAs) frequently employ the information provided by the unconstrained Pareto front (UPF) to facilitate the identification of ...
Knowridge

This little-known dementia blends memory loss, movement problems, and hallucinations

Lewy body dementia is a serious and progressive brain disorder that affects how a person thinks, moves, and behaves over time. It is the second most common form of dementia after Alzheimer’s disease, ...