Deep learning models go above and beyond traditional machine learning and can process data and recognize patterns much more efficiently.

Deep learning algorithms are modeled after the structure and function of the human brain, making use of multiple layers of artificial neurons (hence "deep" learning).

Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...

How is AI different from a neural net? How can a machine learn? What is AGI? And will DeepSeek really change the game? Read on to find out.

Deep learning — which uses multilayered neural networks to elicit patterns from data — was getting really hot back then. There was already a lot of excitement about applications in image ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

As the world grapples with climate change and dwindling fossil fuel reserves, biodiesel emerges as a promising renewable ...

A new study presented at the International Association for the Study of Lung Cancer 2025 World Conference on Lung Cancer ...

Deep learning models had high sensitivity in screening for pulmonary hypertension and congenital heart disease–associated PAH.

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...

El Niño-Southern Oscillation (ENSO) is the strongest interannual variability signal in Earth's climate system. The shifts ...