The Minnesota daycare featured in viral YouTube fraud video has closed, state records confirm. Quality Learning Center became ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

MenteeBot autonomously fetches a Coke, showing how robots can learn tasks through demonstration and verbal instructions.

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Researchers introduce the EAVM protocol, achieving 17 % lower energy use and 20 % longer network lifetime in IoT systems with advanced virtualization techniques.

Individuals with chronic opioid use, whether addicted or not, show heightened learning from negative reinforcement, suggesting that avoidance behavior may underlie both the development and persistence ...

Abstract: Safe reinforcement learning (Safe RL) aims to learn policies capable of learning and adapting within complex environments while ensuring actions remain free from catastrophic consequences.

Cybersecurity failures aren’t about tools, they’re about people. ORCS turns risk awareness into everyday habits that help ...

Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Abstract: In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to ...