InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
IEEE

Multi-Agent Deep Reinforcement Learning for Optimal Resource Allocation in AoI-Aware Energy-Efficient Platoon-Based C-V2X Networks

Abstract: This paper aims to tackle the complex challenge of channel assignment and joint power-energy allocation within a cellular-vehicle-to-everything (C-V2X) network, which is deployed to manage ...
PC Magazine

RAM Reality Check: How Much Memory Does Your PC Actually Need in 2026?

The AI hardware boom is sending memory prices sky-high, so knowing exactly how much you need is more critical than ever. I've worked out the most realistic RAM goals for every type of PC. I’ve been a ...
IEEE

XeroZerox: Analysis and Optimization of GPU Memory Management for High-Integrity Autonomous Systems

Abstract: Autonomous systems require high-performance processing capabilities, which demand the use of powerful accelerators such as GPUs. However, the use of GPUs in critical systems presents several ...