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.

For CTOs, these technology predictions for 2026 aren’t a call to chase every new tool, but to recognize where the ground is ...

The familiar fight between “mind as software” and “mind as biology” may be a false choice. This work proposes biological computationalism: the idea that brains compute, but not in the abstract, symbol ...

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 ...

Tech companies are claiming machines more intelligent than us and capable of having their own agendas are just around the ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

If you are applying to the Ivy League in the coming year, here are the five most important action steps you should take to ...

The scope of all human knowledge is, understandably, so massive that no one person can manage to fully comprehend even a ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

From CPUs that overheated to those with poor performance—plus some that nearly killed the companies that made them.

In 1987, wildlife veterinarian Mark Pokras was in his office at Tufts University in Massachusetts when a colleague from New ...

Andrej Karpathy coined "Vibe Coding" to describe AI-assisted programming, where developers rely on natural language prompts.