Vilnius, Lithuania – August 17, 2020 – Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, has announced the release of a new version ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

The dominant framework inputs one or two groups of images manually annotated with pixel-level and category labels (i.e. Apple and Horse), and then uses these supervisory signals to train a model in a ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...

Object recognition -- determining what objects are where in a digital image -- is a central research topic in computer vision. Researchers have now demonstrated that, en route to learning how to ...