WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...

The National Institutes of Health failed to protect brain scans that an international group of fringe researchers used to ...

When models are trained on unverified AI slop, results drift from reality fast. Here's how to stop the spread, according to Gartner.

It seems like every AI researcher these days has lots of ideas around how to combat major shortcomings in the field, such as ...

The company is positioning this approach as a turning point for robotics, comparable to what large generative models have done for text and images.

New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Brex reports that recurring revenue, a predictable income stream, is key for modern business growth and stability, ...

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

Abstract: The data-driven techniques have been developed to deal with the output regulation problem of unknown linear systems by various approaches. In this article, we first extend an existing result ...