AI models are trained on massive amounts of data. But that training doesn’t do much good without what’s known as “reinforcement learning,” a process that involves human experts teaching models the ...

Negative reinforcement has a bad reputation. Here’s what it really means, and why it can be surprisingly helpful.

Thiaw, D. , Wade, A. , Sall, M. , Diouf, S. and Dieye, G. (2026) Utilization of Eggshells Waste as an Additive to Improve the Mechanical Properties of Clays. Journal of Minerals and Materials ...

Watching her inch closer will melt your heart.

Currently, digital transformation has become the core proposition of global industrial upgrading, and the manufacturing industry is also undergoing a disruptive ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

An intensive programme on reinforcement learning, brought together 60 international participants including students, ...

Focus on One Area: Robotics is broad. You could focus on programming first, then move to electronics, or vice versa. Trying ...

Abstract: Recent studies in reinforcement learning have explored brain-inspired function approximators and learning algorithms to simulate brain intelligence and adapt to neuromorphic hardware. Among ...

Abstract: This paper presents a novel composite obstacle avoidance control method to generate safe motion trajectories for autonomous systems in an adaptive manner. First, system safety is described ...

PenGym is a framework for creating and managing realistic environments used for the training of Reinforcement Learning (RL) agents for penetration testing purposes. PenGym uses the same API with the ...