The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

MVTec will present itself as a partner of the semiconductor industry at SEMICON Europa, which takes place from 18-21st November 2025 in Munich. The focus of MVTec’s booth in hall 1, booth B1868 is on ...

Jerrid Kruse receives funding from the National Science Foundation, the NASA Iowa Space Grant Consortium, and the William G. Stowe Foundation. During my years teaching science in middle school, high ...

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...

MVTec Software GmbH (www.mvtec.com), a leading global manufacturer of machine vision software, is launching the new version of MVTec HALCON on May 27, 2025. Version 25.05 of the standard machine ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

Background: The integration of deep learning (DL) and time-lapse imaging technologies offers new possibilities for improving embryo assessment and selection in clinical in vitro Fertilization (IVF).