MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

A high-resolution groundwater map shows how underground water varies across the U.S., with new insights for agriculture and ...

"If you look at the executive orders on AI, transparency and explainability are pillars. Government entities should be asking for that," Mike Shevlin said.

Koch, who studied vision, thought that by measuring people's brain responses as they looked at special optical illusions, ...

SJ Group CEO Sean Chiao explains why regenerative design and AI are redefining how cities are planned, built and operated - ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

We’re witnessing a collision between AI’s growing sophistication and natural intelligence’s vulnerabilities, which leads to ...

While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...

The United States is now closer to Assad’s Syria than to anything we recognize as fitting within the understood norms of ...

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.

Large Language Models, like ChatGPT, are learning to play Dungeons & Dragons. The reason? Simulating and playing the popular ...