Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

First author Canyu Chen led a multi-institution research team in developing a scalable approach to training AI agents without sacrificing users’ data privacy.

Nested Claude Code runs parallel tasks through Tmux; auto-picks terminal count and routes input, with real-time activity logs ...

As Enterprise AI matures from experimental chatbots to production-grade Agentic workflows, a silent infrastructure crisis is the VRAM bottleneck. Deploying a dedicated endpoint for every fine-tuned ...

Multiple task forces that met during the 2025 interim period have released their recommendations for new state laws ahead of the 2026 legislative session. Task forces, also known as special committees ...

The move comes as the venerable conservative think tank is roiled by turmoil caused by its leader’s defense of a Tucker Carlson interview with a white nationalist. By Kenneth P. Vogel Kenneth P. Vogel ...

Abstract: Shared training approaches, such as multi-task learning (MTL) and gradient-based meta-learning, are widely used in various machine learning applications, but they often suffer from negative ...

Abstract: Radar sensing is gaining increasing attention due to its unique advantages, including being device-free, privacy-preserving, and capable of penetrating obstacles. It has been extensively ...

Rationalize your applications, they say. It will lead to cost savings, streamline your portfolio, and release resources for innovation and technological advancement, they say. So why do we groan at ...