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 ...

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 ...

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 ...

Watch how a US robotics firm trains a dual-arm robot to fold a towel autonomously using vision and human demonstrations.

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

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

Discover the future of satellite technology with space computing power networks (Space-CPN). This innovative architecture ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

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

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...