IEEE

Dynamic Task Offloading and Resource Allocation in Vehicle Edge Computing and Networks: A Graph Attention-Based Deep Reinforcement Learning Approach

Abstract: Vehicle edge computing (VEC) leverages the computational and communication resources available from vehicles and mobile edge computing (MEC) servers to provide computing services for mobile ...
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

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 ...