Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

Meteorologists frequently mention weather prediction models in their forecasts. They explain what they’re gleaning from the “U.S. Model,” for instance, and how that might differ from the “European ...

Unverified and low-quality data generated by artificial intelligence (AI) models – often known as AI slop – is forcing more security leaders to look to zero-trust models for data governance, with 50% ...

The proliferation of AI data, evolving regulatory requirements and risk of large language model (LLM) collapse will help to drive take up of zero trust approaches to data governance in the next two ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

The Atacama Cosmology Telescope (ACT) in Chile has released its final batch of data after 15 years — and it proves that the Hubble tension, a rift in our understanding of the universe, is very real.

AI promises a smarter, faster, more efficient future, but beneath that optimism lies a quiet problem that’s getting worse: the data itself. We talk a lot about algorithms, but not enough about the ...

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...

The U.S. Department of Energy building is seen behind a sign marking the location of the agency's headquarters on March 18, 2025, in Washington, D.C. (Photo by J.David Ake/Getty Images) The Department ...

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