Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
eWeek

Claude Cowork Is the ‘Intern’ We’ve Been Waiting For

Claude Cowork turns AI into a desktop agent that manages files, runs browser research, builds reusable Skills, and automates real workflows.

OpenAI's new Spark model codes 15x faster than GPT-5.3-Codex - but there's a catch

OpenAI's new GPT-5.3-Codex-Spark promises ultra-fast, conversational AI coding, if you can tolerate a few trade-offs.
IEEE

Adaptive Large Language Model for Task Orchestration in 6G Space-Air-Ground Integrated Computing Power Networks

Abstract: With the rapid deployment of 5G and the advancement of 6G research, traditional network architectures face challenges in meeting the demands of massive data transmission and low-latency ...
IEEE

Delay-Optimal Task Scheduling and Resource Allocation with Collaborative Computation Offloading in Satellite Edge Computing

Abstract: Satellite edge computing networks are gaining momentum, necessitating efficient task scheduling and resource allocation to optimize performance. This paper focuses on collaborative computing ...