Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...

When AI can do the tasks we call learning, how do we tell what’s real? Here's why only observable behavior can define and ...

Artificial intelligence and robotics are revolutionizing drug discovery by automating laboratory processes and enabling rapid ...

Researchers have identified peptides that can help remove microplastics from the environment by combining biophysical modeling, molecular dynamics, quantum computing, and reinforcement learning.

Learn More OpenAI today announced on its developer-focused account on the social network X that third-party software developers outside the company can now access reinforcement fine-tuning (RFT ...

While reinforcement learning (RL) has shown promise in addressing network ... a parameterized graph-based safe RL approach is proposed to learn dynamic optimal power flow in time-varying network ...

Machine learning and artificial intelligence are fundamentally dependent on databases. These databases serve the vital role of storing, organizing, and pulling up necessary data to develop and ...