Before shifting away from on-premises data centers, small businesses should learn about costs and other considerations with ...

The future of AI depends on systems that can earn trust—not with marketing slogans, but with technical rigor. That future is ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

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 ...

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.

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.