Advanced capabilities for image retrieval and processing are relatively new and powered to a large extent by advances in machine learning technology. We present a brief history of this space, and ...

A computer is not needed – a state machine that walks a tree will do. This is how the Navy did it with AN/UGA-3 Morse to TTY converters back in the mid 1960s.

Machine learning technique reconstructs images passing through a multimode fiber. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2018 / 08 / 180809175150.htm ...

These machine learning systems are then fed pictures from ImageNet and its ilk, proprietary images (aka Google Photos) or other sources (like anonymized, indexed clinical records).

Machine learning and AI. Getty. One of the downsides to the recent revival and popularity of Artificial Intelligence (AI) is that we see a lot of vendors, professional services firms, and end ...

Image and video compression methods are the core technologies that enable digital broadcasting, streaming, ... BBC R&D - Faster Video Compression Using Machine Learning; ...

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. See also: Interactive: ...

Google's RAISR: a machine learning algorithm that can take a low-resolution, block image and upscale it while enhancing and sharpening the image Google View gallery - 8 images ...

A machine learning algorithm has sharpened the first-ever image of a black hole, the supermassive monster at the heart of the galaxy Messier 87, to its maximum fidelity.

Machine strengths. Machine learning already does much better on simple images that only have one thing in the frame. "The systems are getting to be as good as an untrained human," Platt claims.