The Robot Report

Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity

Humanoid says its KinetIQ Ascend approach can reach 99.9% manipulation reliability at human speed and beyond for industrial ...
IEEE

Graphic Deep Reinforcement Learning for Dynamic Resource Allocation in Space-Air-Ground Integrated Networks

Abstract: Space-Air-Ground integrated network (SAGIN) is a crucial component of the 6G, enabling global and seamless communication coverage. This multi-layered communication system integrates space, ...
AZoOptics

Researchers Design AI-Driven Photonic Crystal Fiber Modulator

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Vietnam Investment Review

Beijing's Striding AI develops robotic foundation systems to deploy Physical AI at scale

Striding AI announced development of a new generation of robotic foundation systems designed to accelerate Physical AI ...
ZAWYA

Striding AI Announces Development of Next-Generation Robotic Foundation Systems for Physical AI Deployment

Striding AI today announced that it is developing a new generation of robotic foundation systems designed to accelerat ...
Frontiers

Trustworthy and Resilient AI for Smart Energy Systems: Frontier AI, Reinforcement Learning, and Security

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...
IEEE

Transformer-Based Reinforcement Learning for Scalable Multi-UAV Area Coverage

Abstract: Compared with terrestrial networks, unmanned aerial vehicles (UAVs) have the characteristics of flexible deployment and strong adaptability, which are an important supplement to intelligent ...

The DeepMind trio who built a poker AI are now making money for quant hedge funds

EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 ...