Zoetis' Vetscan Imagyst® offers 6-in-1 diagnostics on a single platform, including AI-powered blood smear, fecal, dermatology ...

Object detection tasks perform both localization and class recognition ... vision and deep learning techniques, insect detection remains a highly challenging task. One major obstacle is the limited ...

Additionally, this topic aims to investigate the integration of image processing techniques with other emerging technologies such as machine learning, deep learning ... Computer vision for object ...

While some AI companies make efforts to anonymize this data, it’s something you may not feel comfortable with. The good news is, in most cases, you can find a setting to turn the training off.

and our own data based on conventional testing methods showed just 18% of samples were polluted," says Associate Professor Chariton. Using this new approach to water quality testing can highlight ...

The surge in demand for machine vision cameras reflects the industry's shift towards smart manufacturing solutions, where ...

Recognition of Prior Learning (RPL) is integral to the vision of The National Education Policy (NEP) 2020. The guidelines also emphasize robust governance, quality assurance, and collaboration ...

The University Grants Commission (UGC) has finalised the ‘Draft Guidelines for Implementation of Recognition of Prior Learning (RPL ... robust governance, quality assurance, and collaboration ...

was skeptical that the poor-quality images would produce reliable results. A facial recognition system performs best with a high-resolution photo of someone looking directly into a camera.

In this first of three parts of our second annual AI Thought Leaders Survey, our pool of experts share their take on the state of AI over the past year, for both good and ill.