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.

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.

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 ...

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

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 ...