Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Connect X9 (1.6 TB/s bandwidth), Bluefield 4 DPU (offloads storage/security), NVLink 6 switch (scales 72 GPUs as one), ...

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...

AGIBOT deploys Real-World Reinforcement Learning (RW-RL) in industrial robotics with Longcheer Technology. Robots now learn ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

Imagine a dog leaping excitedly at arriving guests, only to receive a sharp yell or leash tug—traditional responses that ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...