This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology.

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

"The images are labeled—for example, describing the subject, colors, style of imagery, or other descriptors of what the image represents—and the AI model is trained to identify patterns in ...

A new machine-learning technique has significantly reduced noise in images taken by scanning transmission electron microscopy (STEM). Developed by researchers in Ireland, the algorithm could make it ...

Amazon has been testing a machine learning software in space that can analyze Earth observation images on its own and send only the best ones to Earth.

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Prerequisites An understanding of the fundamentals of machine learning and image processing. Students will be expected to read papers that utilize advanced machine learning and image processing ...

In histopathology, where tissues are studied under the microscope to understand and diagnose diseases, stains represent a ...

Creating stickers from photos is an easily overlooked feature tucked into iOS 17. Using Apple’s machine learning algorithms that quickly separate a subject from its background, it extracts ...

Does your system have any machine inputs, such as scanners, sensors or cameras that are detecting images on an ongoing basis? How often do the inputs assess their subjects (is it automatic or ...