Teaching a robot arm to pick up a new object used to require thousands of practice runs. Google DeepMind says it has cut that ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

Zapier reports just-in-time learning involves acquiring specific knowledge exactly when needed, enhancing efficiency and ...

Last September roboticist Benjie Holson posted the “Humanoid Olympic Games”: a set of increasingly difficult tests for humanoid robots that he demonstrated himself while dressed in a silver bodysuit.

Research suggests that some review sessions need to be widely spaced by two months or more from the initial learning. The amount and spacing of foreign language vocabulary learning have an enormous ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...

Some memory work seems more difficult than others. We have already covered learning math. Here we will consider such tasks as expanding vocabulary, learning a foreign language, and remembering dates ...