Find what was learned after computer scientists explore the challenges and opportunities of using fully automated AI systems ...

President Kais Saied stated that the students who tragically lost their lives two days ago in Mezzouna due to the collapse of a school wall were "victims of negligence and years of corruption within ...

Laser Armor™ System Enhanced with NVIDIA-Powered Simulation, Embedded AI, and Reinforcement Learning ...

This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

DeepSeek AI, a prominent player in the large language model arena, has recently published a research paper detailing a new technique aimed at enhancing the scalability of general reward models (GRMs) ...

It achieved an 8.0% higher win rate over DeepSeek R1, suggesting that its strengths generalize beyond just logic or math-heavy challenges.

CrowdStrike remains incredibly compelling, with an AI-driven platform to tackle agentic AI threats, strong ARR growth, and ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...

Reinforcement learning designs intelligent agents by training them to maximize rewards as they interact with their environment. Animal trainers know that animal behavior can be influenced by rewarding ...

Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where ...

Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with ...