Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
VentureBeat

Researchers propose ‘safe’ reinforcement learning algorithm for dangerous scenarios

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers have proposed a method for allowing reinforcement learning ...
techtimes

Researchers Improve EV Charging Using Reinforcement Learning Algorithm

Researchers at the US Department of Energy's Argonne National Laboratory and the University of Chicago are embarking on an innovative project to revolutionize electric vehicle (EV) charging. With the ...
EurekAlert!

Positive reinforcements help algorithm forecast underground natural reserves

Texas A&M University researchers have designed a reinforcement-based algorithm that automates the process of predicting the properties of the underground environment, facilitating the accurate ...
Semiconductor Engineering

More Efficient Matrix-Multiplication Algorithms with Reinforcement Learning (DeepMind)

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...
Wired

What AlphaGo Can Teach Us About How People Learn - WIRED

David Silver is responsible for several eye-catching demonstrations of artificial intelligence in recent years, working on advances that helped revive interest in the field after the last great AI ...