A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

Study in a Sentence: Cedars-Sinai researchers are developing KronosRx, an artificial intelligence-powered platform that uses human-derived organoids and deep-learning models to forecast adverse drug ...

From a steady sense of calm or unease that won't go away to an unshakeable pull toward (or away from) certain choices, these soul-deep signals act like an internal compass.

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.

Scientists have long believed that foam behaves like glass, with bubbles locked into place. New simulations reveal that ...

A deep learning algorithm called FaceAge could allow clinicians to improve their qualitative assessments, and possibly catch ...

SEATTLE — Laptops, iPads, and educational apps are increasingly part of school curricula across the country. But a growing ...

The bioconcentration factor shows the concentration of chemical substances in fish as compared to the surrounding water. It ...

According to Abacus.AI (@abacusai), the company has announced Deep Agent, an automated test engineer powered by AI that is designed to test all your applications. Deep Agent autonomously generates ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

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 ...