Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.

Abstract: Deep Reinforcement Learning (DRL) has garnered significant attention for its superior adaptability and continuous learning capabilities in the decision control of autonomous driving. However ...

Any AI agent will go above and beyond to complete assigned tasks, even breaking through their carefully designed guardrails.

MiniMax M2.5 delivers elite coding performance and agentic capabilities at a fraction of the cost. Explore the architecture, ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Coding can help students understand the building blocks of world languages, and it provides an authentic way to tell stories. As a Spanish and STEAM educator, I have many opportunities to try ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

NVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-powered coding agents under high-level human guidance. The system asks a ...

GitHub's 2025 Octoverse reveals TypeScript added 1M+ contributors to claim #1 spot, as typed languages become essential for AI-assisted development workflows. TypeScript has dethroned Python as the ...

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...