Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

Photoshop tutorial showing a quick, effective way to make a cool, planetary nebula in deep space and a fiery explosion complete with a planetary inferno. Subscribe!

A new way Burmese python researchers are learning how snakes affect the Florida Everglades Conservationists have tried everything to catch pythons from using traps, tracking devices, robot bunnies ...

Deep cuts in federal financial aid for college students. Less access to nutrition support programs. Millions of patients at risk of losing their health care. All of that is on the line as the Senate ...

See how DenseNets reuse features across layers, reduce parameters, and improve training efficiency.

OpenAI’s new agent can compile detailed reports on practically any topic In just minutes, Deep Research can produce reports that would take humans “tens of hours” to complete.

Deep-diving toothed whales wash up dead with stomachs full of plastic and prey alike. Their built-in sonar likely can’t tell the difference.

Key pros and cons of deep learning include its ability to handle large amounts of unstructured data and achieve high accuracy in challenging tasks, both of which are significant advantages.

Differences Between Deep Learning and Generative AI Deep learning and generative AI are two distinct subsets of artificial intelligence (AI) with different approaches, goals, and applications.