Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, there are key differences between them: Neural networks are a ...

Deep learning, a multifaceted and groundbreaking subset of Artificial Intelligence (AI), is reshaping various sectors, notably materials science. Its algorithms are now leveraged to predict and ...

By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

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

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