High accuracy rates for detecting atrial fibrillation, atrial flutter and sinus rhythm in both groups (94.5% HeartBeam vs. 95.5% standard 12-lead ECG).

If successful, DeepMind's goal to bridge deep learning and classical computer science could revolutionize AI and software as we know them.

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

The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for ...

Furthermore, deep learning algorithms trained with optical coherence tomography (OCT) data can detect microstructural damage due to glaucoma and its progression over time.

In the recent past, you probably attended a virtual lunch-and-learn presentation, read an article, or had a discussion with a controls sales representative in which the topic was a chilled water plant ...

What other ML areas can replace deep learning in the future? This question was originally answered on Quora by Ian Goodfellow.

A deep-learning algorithm could detect earthquakes by filtering out city noise The model could uncover quakes that would previously have been dismissed as human-generated vibrations.

Junshili Xin Technology Group Co., Ltd. recently announced that its patent for "Deep Learning-Based Intelligent Warehouse Optimization and Dynamic Scheduling Method for E-commerce" has been authorized ...