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.

Ben Gao '25 asks us to reconsider how we can use AI effectively, arguing that human-centered design needs to be prioritized.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

Angelica Leicht is a seasoned personal finance writer and editor with nearly two decades of experience but just one goal: to help readers make the best decisions for their wallets. Her expertise spans ...

Chess has never been just a board game. It has always been a quiet reflection of the world around it. When societies changed, ...