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

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

Abstract: Reinforcement Learning Model Predictive Control (RL-MPC) has achieved significant progress in recent years. However, existing approaches still have some limitations. This paper proposes a ...

Ai2 updates its Olmo 3 family of models to Olmo 3.1 following additional extended RL training to boost performance.

The Penn State Institute for Computational and Data Sciences' (ICDS) Mid-Scale Seed Grant Program has awarded over $540,000 ...

Louisville, KY, USA, December 11th, 2025, FinanceWireAt a critical juncture in which global financial markets are ...

Why would one of the most sophisticated humanoid robots in the world want to get up from the floor in a way no human ever would? The answer lies deep in the interaction between sensor limitations, ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across applications in welding, automotive manufacturing and ...

Artificial Intelligence (AI) Agents are increasingly being deployed in Robotics, Augmented Reality/Virtual Reality, Self-Driving Cars, Scientific Discovery, Energy Orchestration, Computing Systems, ...

When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This “tabula rasa” approach led to amazing achievements, ...