Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high resolution drone imagery using ArcGIS Pro.

In this video, we will understand in detail what is Momentum Optimizer in Deep Learning. Momentum Optimizer in Deep Learning ...

The December 2019 issue of Nature Methods features a focus on Deep Learning in Microscopy. In this web collection, related content featured in the Nature journals is highlighted to celebrate these ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

Real-time curation of media is critical as consumer attention continues to fragment across streaming TV, audio, display, and mobile channels. By fully integrating Cognitiv’s deep learning models, ...

AI and deep learning boost recycling efficiency 60% as cities adopt smart waste systems for circular economy transformation ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.