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Artificial-intelligence algorithms, particularly artificial neural networks and their hardware, are critical in addressing edge AI applications.

Automated anemia detection from fundus images may benefit patients undergoing routine retinal imaging.

The classification of medical images is significant among researchers and physicians for the early identification and clinical treatment of many disorders. Though, traditional classifiers require more time and effort for feature extraction and reduction from images. To overcome this problem, there is a need for a new deep learning method known as Convolution Neural Network (CNN), which shows the high performance and self-learning capabilities. In this paper,to classify whether a chest X-ray (CXR...

This article focuses on tuning and scaling a deep-learning-based algorithm on a cluster of compute nodes.

New additions include Chief Scientific Officer, Chief Technology Officer, Heads of Machine Learning and People Operations New Alphabet "bet" is focused on the use of artificial intelligence to accelerate

Labeling data can be a chore. It’s the main source of sustenance for computer-vision models; without it, they’d have a lot of difficulty identifying

MIT CSAIL scientists created an algorithm called STEGO to solve one of the hardest tasks in computer vision: assigning every pixel in the world a label without any human supervision.