How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

Advancements in radiomics, machine learning, and deep learning have the potential to revolutionize cancer diagnosis and treatment by enabling more precise ...

Image recognition systems are built to detect patterns and features within images, such as edges, shapes, textures, and colors, to classify objects or people.

Google and the Computer History Museum release AlexNet’s original 2012 source code on GitHub, offering a rare look at a ...

This mirrorless camera is an absolute beast, with a massive 61MP resolution, AI-powered autofocus and 8K video shooting — but ...

Face spoofing remains one of the most pressing threats in biometric authentication, with implications spanning mobile device ...

Abstract: Applying self-supervised deep learning improves the processing speed and accuracy of automatic modulation recognition (AMR ... including the discrete sequence, image, and video format.

Key Laboratory of Environmentally Friendly Chemistry and Applications of Ministry of Education, College of Chemistry, Xiangtan University, Xiangtan 410005, P. R. China ...

Using data from the Spitzer Space Telescope and James Webb Space Telescope, the model employs AI image recognition ... Bubble Recognition in the Milky Way and Beyond Using Deep Learning ...

The images on the left show newly detected bubble ... Japanese researchers have created a deep learning model. The Osaka Metropolitan University-led team used artificial intelligence to pore ...

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.