Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems.

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Researchers discover how to identify and "teach" tacit knowledge by tracking eye movements and brain activity, potentially ...

From rushing through prep to misjudging students’ readiness for a task to teaching the way they were taught, experienced ...

A seasoned cyclist might talk a beginner through the basics of how to sit and when to push off. But other skills, like how ...

A recent study from researchers at Anthropic, titled ‘How AI Impacts Skill Formation,’ provides a rigorous look into this ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether ...

Neural responses during statistical learning reveal dissociable dynamic effects of expectation, supporting the opposing process theory within trials while demonstrating contrasting effects across ...

In a new report, business leaders aren't confident in security tools, but machine learning is being used to close the gap.

Just as calculators once were banned from classrooms, and later embraced, AI technology is finding greater acceptance among ...