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 ...

ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...

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

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

“Prompt injection, much like scams and social engineering on the web, is unlikely to ever be fully ‘solved,'” OpenAI wrote in ...

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

AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment platform designed to bring institutional-grade ...

Abstract: Curriculum learning (CL) is considered as a key component of the approach in solving many machine learning problems. CL used in deep reinforcement learning (DRL) improves the training speed, ...

Abstract: A mixed traffic environment of manual driving and automatic driving will become the norm in future intelligent transportation systems. The deep reinforcement learning (DRL) method has shown ...

Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...

Why does stopping at a red light become automatic? New neuroscience shows how the cerebellum turns visual cues into fast, ...