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 ...

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 ...

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

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

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 ...

Tianpei Lu (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Bingsheng Zhang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Xiaoyuan ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...