Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Overview: Interactive Python courses emphasize hands-on coding instead of passive video learning.Short lessons with instant ...

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 ...

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 ...

With a rapidly rising cost of living, many Americans are looking to pull in extra income. Good news: there are many realistic ...

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, ...

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

The paper challenges the dominant “mirror metaphor” that defines digital human twins as faithful replicas of human behavior ...

An expert Q&A on the legal, ethical, and practical considerations and emerging issues regarding judicial use of AI, including ...

No longer a technological novelty, generative artificial intelligence (GenAI) has become a common tool for everyday academic ...

From artificial intelligence-driven efficiency to transmission bottlenecks, power industry insiders share their perspectives ...