Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they ...

Games-based activities foster active, relaxed learning and collaborative problem-solving. Rebecca Andrew and Sam Chadwick offer guidance on how to design and tailor them to suit a range of needs ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

The KR-1 robot is an autonomous humanoid warehouse robot designed for pick-and-place and material handling. With dual arms, a ...

Scientists taught a robot 1,000 physical tasks in one day using one demo each. This leap could reshape home robots and ...

A growing how-to platform organizes practical knowledge into clear, task-focused guides that help users move efficiently from question to solution. NY, UNITED STATES, January 2, 2026 /EINPresswire.com ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

These universal truths form the shared foundation upon which a great deal of rigorous and robust merit-based inquiry is ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.