A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

In biology, many RNA molecules act as sophisticated microscopic machines. Among them, riboswitches function as tiny biological sensors, changing their 3D shape upon binding to a specific metabolite.

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Artificial intelligence, if carefully designed, could significantly reduce emergency vehicle delays in congested cities ...

A Reinforcement Machine Learning Minesweeper Algorithm written in Java. It learns Minesweeper by failing repeatedly and learning from its mistakes. It scans a Minesweeper board for subsets of numbers, ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

Abstract: Data augmentation in reinforcement learning (RL) aims to generate diverse and extensive datasets to enhance the learning process. Most existing studies on RL augmentation employ sample-based ...

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...