The future of image recognition technology is deep learning Compared to typical machine learning, deep learning works by building neural networks that simulate the mechanism of the human brain and ...

Text in documents is easy to search, but there's a lot of information in other formats. Voice recognition turns audio – and video soundtracks – into text you can index and search. But what ...

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.

For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key milestone toward demonstrating the advantages of quantum methods over ...

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 ...

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).

This week, Microsoft Research announced its newest deep learning project had outperformed humans in a test to identify objects in digital images.

This year’s judges for ENR’s photo contest were shadowed by a machine-learning, artificial-intelligence system being developed to flag safety hazards in construction photos and video.

Image processing is used in pattern recognition to identify the items in an image, and machine learning is then used to train the system to recognise changes in patterns.

Artificial Intelligence (AI) and Machine Learning (ML) have become foundational technologies in the field of image processing. Traditionally, AI image recognition involved algorithmic techniques ...