Morning Overview on MSN

AI helped uncover a promising new superconducting material

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...
Analytics Insight

What are the Best Python Libraries for Reinforcement Learning in 2025?

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

Data-Driven Motion Planning: A Survey on Deep Neural Networks, Reinforcement Learning, and Large Language Model Approaches

Abstract: Motion planning is a fundamental challenge in robotics, involving the creation of trajectories from start to goal states while meeting constraints like collision avoidance and joint limits.

OpenAI says prompt injections that can trick AI browsers like ChatGPT Atlas may never be fully ‘solved’—experts say it’s ‘a feature not a bug’

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

Reinforcement Learning for Antidepressant Dose Adjustment: An Explainable Agent Approach ()

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

A Survey of Curriculum Learning in Deep Reinforcement Learning

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, ...