(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 labeled data, RL involves ...

A recent study led by Google AI researchers shows that modern LLMs are very similar to the human brain in the way they ...

Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work ...

From smarter chatbots to data-driven insights, discover how AI's evolving ecosystem is transforming industries and driving ...

Researchers simulated efforts to defend Manhattan against sea level rise through the end of this century. Compared with other ...

Unlike typical AI systems that thrive on large, fast-evolving datasets, agriculture presents unique constraints. Plant growth ...

Figure uses reinforcement learning to achieve fluid, human-like walking in its robots, seamlessly transferring simulations to ...

Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in ...

The techniques that powered these systems were rooted in the work of Dr. Barto and Dr. Sutton. “They are the undisputed pioneers of reinforcement learning,” said Oren Etzioni, a professor ...