In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Its Super Resolution component is a second-generation upgrade to the 'Transformer' upscaling model introduced with DLSS 4, ...

Also new is dynamic frame gen, letting you only experience frame gen when needed, and you can apply these updates to old ...

New research from Johns Hopkins University shows that artificial intelligence systems built with designs inspired by biology can begin to resemble ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...