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 ...

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

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

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, ...

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

Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct concepts for computer vision might be combined to create a more robust ...

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

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert ...

Nvidia's biggest gaming reveal at CES 2026 was DLSS 4.5, an update for RTX GPUs that can boost frames rendered by six times ...

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