perform

Reinforcement learning models, which underlie these AI decision-making systems, still often fail when faced with even small variations in the tasks they are trained to perform.

The algorithm strategically selects the best tasks for training an AI agent so it can effectively perform all tasks in a collection of related tasks.

For one, it models how well each algorithm would perform if it were trained independently on one task.

Understanding how a signaling axis mitigates Golgi stress, enabling it to perform properly, points to a possible new therapeutic target for researchers to pursue to strengthen T-cells.

“When I play a song, the audience goes back to the day they first heard that song. And then for me to perform it correctly, I have to go back to that moment when I wrote ‘Colors,’ ” he says.