Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

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 ...

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 ...

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 ...

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 ...

Dr. Catherine Prater, postdoctoral researcher at Pennington Biomedical Research Center, has received a two-year fellowship ...

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...