As the current flagship large language models’ progress slows, there has been a resurgence in reinforcement learning methods — a machine learning training technique that is used to build AI models. Mr ...

This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...

The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.

NVIDIA is developing the next generation of AI by teaching it the fundamentals of human behavior, starting with something as ...

Discover how reinforcement learning is transforming quadruped robots like Spot into agile, adaptable tools for real-world applications.

Reinforcement learning is thought by many to be the next big thing in AI, but not everyone’s convinced of its potential. Former ...

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

Instead of retraining the LLM, the agent consults a dynamic store of past outcomes to make smarter decisions for new tasks.

At the industry level, the research suggests that AI-enabled decision support could help firms quantify trade-offs more ...

Here is how hardware security has become a major consideration in motor-control subsystems serving robotics and e-mobility.

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human.