Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

After years warning that advanced AI could spiral out of control, the deep-learning pioneer now sees a way to build AI that ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a table. Instead of chemical elements, the new chart arranges learning ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures. Metal nanoparticles catalyze reactions ...

Abstract: We introduce an interpretable deep-learning (DL) approach for direction-of-arrival (DOA) estimation with a single snapshot. Classical subspace-based methods, such as multiple signal ...