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.

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 ...

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

The notification in question appeared as a live activity banner on the user’s iPhone which said, “Claim your Super offer!” ...

Many organizations now face a widening gap between the skills they need and the skills available in the labor market.

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 ...

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

A new study provides answers based on a survey with more than 6,000 researchers from the Max Planck Society and the ...

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

It comes after years of frustration from parents of children with dyslexia and dysgraphia who have gone unidentified.