Anyscale Cuts Multimodal AI Data Processing Costs by 80% with NVIDIA RTX PRO 4500 Blackwell

Anyscale, founded by the creators of Ray, today announced upcoming new capabilities in Ray and the Anyscale platform designed to help teams build and deploy AI workloads at production scale. As more ...
Machine Design

Physical AI Hype vs Reality: Kung Fu Robots are Cool...But Should You Hire One?

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability ...
GitHub

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for ...
The Financial Express

Hiring trends 2026: Check if your resume lists these 5 must-have AI skills today

As hiring trends evolve in 2026, professionals are urged to ensure their resumes include these five must-have AI skills to ...
IEEE

Supervision-Enhanced Deep Reinforcement Learning for Hybrid Action in BVR Engagement

Abstract: Deep reinforcement learning has gained increasing popularity in the beyond visual range engagement of unmanned combat aerial vehicles. Regardless of the success of the maneuvering decision, ...
IEEE

Multi-Agent Deep Reinforcement Learning for Dynamic Routing in MANETs Using Graph Neural Networks

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.
GitHub

A minimal, secure Python interpreter written in Rust for use by AI.

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...