Leaders might assume that LLMs are able to offer a kind of unbiased, outside perspective. But new research found that leading ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

In most boardrooms, the final decision still comes down to a small circle of leaders weighing a narrow set of choices. Yet the problems they face now contain thousands, sometimes millions, of possible ...

Software demos and Pentagon records detail how chatbots like Anthropic’s Claude could help the Pentagon analyze intelligence and suggest next steps.

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

For years, the Prairie Pothole Region has bothered me in a very specific way. On a map, it looks like a normal landscape: ...

Abstract: Accurate channel estimation is critical for realizing the performance gains of massive multiple-input multiple-output (MIMO) systems. Traditional approaches to channel estimation typically ...

Combining direct measurements with artificial intelligence methods, a new map estimates groundwater depth across the contiguous United States at a resolution of ...

This study aimed to develop and validate a machine learning model for accurate estimation of trunk fat percentage using readily available anthropometric measures, and to evaluate its discriminative ...

This special report introduces small area estimation (SAE) as a modern approach for producing reliable, stand-level forest inventory information Small area estimation (SAE) is a set of statistical ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...