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 ...

If that learning process is robust across a broad range of different tasks, then there's no reason why we shouldn't start seeing a new video like this every other day, as the 01 learns to do ...

Researchers at Tohoku University and Future University Hakodate have trained cultured rat cortical neurons to perform real-time machine learning tasks, producing complex temporal patterns including ...

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 ...

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.

University of Stanford researchers Zipeng Fu and his open source Mobile ALOHA’s hardware is very capable. Mobile ALOHA is teleoperated for now. It is low-cost open-source hardware and teleoperation ...

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 ...

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 ...