eWeek

OpenAI Debuts GPT-5.3-Codex-Spark, a Near-Instant AI for Real-Time Coding

Spark, a lightweight real-time coding model powered by Cerebras hardware and optimized for ultra-low latency performance.

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 ...

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

Privacy-Preserving Task Offloading in Vehicular Edge Computing Using Federated Multi-Agent Reinforcement Learning

Abstract: Vehicular edge computing (VEC) systems face critical challenges in balancing computational efficiency, task delay, and data privacy. This paper presents a Federated Multi-Agent Deep ...
IEEE

Fault-Tolerant Aware Task Offloading Based on Reinforcement Learning in Mobile Edge Computing

Abstract: In recent years, Mobile Edge Computing (MEC) has been widely used for latency-sensitive tasks, but task scheduling in dynamic edge environments still faces two key challenges. First, edge ...
Geeky Gadgets

Learn OpenCode Fast to Run AI Tasks in Parallel

What if you could master an innovative platform that transforms your AI development workflow in less time than it takes to watch an episode of your favorite show? Below Keith explores how OpenCode, a ...