Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

Yann LeCun is a leading AI voice whose pathbreaking work in neural networks became the foundation for modern computers and ...

Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Scientists discovered that two brain chemicals in honey bees can predict how fast they will learn, offering new insight into animal learning.

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

Evolving toxicity assessments for engineered nanoparticles underline the importance of predictive models and life-cycle risk ...

Become a leader in the exhilarating field of artificial intelligence with a master’s from the University of Colorado Boulder. Our professional master’s is aimed at engineers, applied scientists and ...

Hypermobile Ehlers–Danlos syndrome (hEDS) is one of the most common heritable connective tissue disorders. Early estimates have reported that this genetic disorder affects at least one in 5,000 ...