IEEE

Reinforcement Learning-Based Dynamic Beam Hopping and Power Allocation for RSMA-Assisted Constrained-Input Satellite System

Abstract: This paper investigates a dynamic beam hopping and power allocation problem in rate-splitting multiple access (RSMA) assisted multi-beam satellite system, in which beam services are ...

Animated stamps from USC celebrate 14 builders of the modern internet, from DNS and video calls to JPEG, encryption, and the algorithms inside phones

USC is celebrating America's 250th anniversary with animated digital stamps honoring unsung heroes of computing. These stamps ...
Interesting Engineering on MSN

Video: New AI model gives humanoid robots 90 percent success in complex missions

Flexion Robotics has introduced Reflect v1.0, a robotics intelligence platform that enables humanoid robots ...
IEEE

Graph-Based Dual-Agent Deep Reinforcement Learning for Dynamic Human–Machine Hybrid Reconfiguration Manufacturing Scheduling

Abstract: Human–machine hybrid reconfiguration manufacturing is an emerging paradigm in the field of precision equipment production and can greatly improve the production capability of the workshop.
GitHub

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. Feburary 9, 2026: 🔥 We released a free interactive demo ...