Change a single number in a math problem, and a human who understands the underlying logic will still get the right answer.

Spend time with any software engineering team right now and you’ll see something worth paying attention to. Over the last few years, the way software gets built has moved through four distinct ...

Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...

Most AI work in radiology today is centered on diagnostic models. The focus is on improving accuracy by training on more data and refining models. This approach treats radiology mainly as a visual ...

AI excels at correlations but lacks physical intuition, creating gaps in real-world reasoning and reliability.

Compare the best AI models in 2026 for business, productivity, and real use cases. See which tools lead, where they fit, and ...

In today’s AI race, breakthroughs are no longer measured in years—or even months—but in weeks. But Z.ai’s lead didn’t last long, either. Just as Anthropic had been undercut by GLM-5’s release, GLM-5 ...

University of Oregon researchers have developed an AI tool, based on modified GPT-2 architecture, that can reconstruct genetic ancestry in minutes by reading DNA mutation patterns. Matching the ...