February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high ...

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, ...

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 ...

A research team has developed DeepCodon, a deep learning–based codon optimization tool that significantly improves heterologous protein expression in Escherichia coli while preserving functionally ...

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

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

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.

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

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 ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...