Nvidia says it can shrink 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 ...
IEEE

Learning-Aided Evolutionary Algorithm for Solving Energy-Minimized Deadline-Constrained Task Scheduling Problem in Human-Cyber-Physical Systems

Abstract: This work addresses an energy-minimized deadline-constrained task scheduling problem in human-cyber-physical systems. It consists of three subproblems: processor allocation, task sequencing, ...
IEEE

A Neural Network Model Based on Differential Evolution Algorithm for Traveling Salesman Problem

Abstract: This paper presents a novel neural network-based optimization framework, NNDE, to solve the traveling salesman problem (TSP). The core idea is to use a radial basis function network (RBFN) ...
Centre for International Governance Innovation

From AI data centres to your next smartphone: The memory bottleneck is everyone’s problem

Since 2024, lower production of conventional DRAM by major memory manufacturers combined with rising demand for advanced memory from cloud providers and tech giants building AI data centers, is ...