New AI model enable robots to perform unseen tasks, hinting at a shift toward general-purpose robotic intelligence.

When an AI model is trained on new information, it’s not uncommon for it to forget most of what it already knows. A discovery ...

In today's manufacturing environments, upgrading a robot fleet often means starting from scratch—not only replacing hardware, ...

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

How can autonomous vehicles continuously learn new traffic scenarios without forgetting previously learned ones? Researchers ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...

Seismic first break (FB) picking helps us with near surface tomography, microseismic detection among other tasks. Using image semantic segmentation (ISS) networks to do so has been a hot topic in ...

Identifying kinematic constraints between a robot and its environment can improve autonomous task execution, for example, in Learning from Demonstration. Constraint identification methods in the ...