Artificial intelligence (AI) for science has rapidly gained momentum at an extreme pace. Models trained on the scientific record are generating hypotheses and even running experiments in automated ...

Abstract: In this study, we explore the efficiency of the Monte Carlo Tree Search (MCTS), a prominent decision-making algorithm renowned for its effectiveness in complex decision environments, ...

Abstract: This paper proposes a hybrid algorithm combining reinforcement learning (RL) and a genetic algorithm (GA) for PDN decap optimization. The trained RL agent uses a graph convolutional neural ...

Researchers developed a nonlinear viscoelastic-plastic model to accurately forecast mining-induced subsidence, ensuring safer ...

The convergence of AI, quantum computing, and biosciences is propelling the global healthcare industry into a new era - now ...