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: ...

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 ...

Introduction to Machine Learning¶. in these notes, much of the introductory information was taken from the book Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and ...

This post is authored by Sumit Kumar, Senior Program Manager, Microsoft and Nellie Gustafsson, Program Manager, Microsoft We are excited to announce the general availability of SQL Server 2017 and ...

Machine learning typically requires tons of examples. To get an AI model to recognize a horse, you need to show it thousands of images of horses. This is what makes the technology computationally ...

Modern machine learning often uses a technique called a generative adversarial network (GAN). Ian Goodfellow, who compiled the above chart, invented the technique in 2014.

A thermal imaging system that uses machine learning to disentangle the information contained in infrared images has been unveiled by researchers at Purdue University in the US. Dubbed HADAR, the ...

Deep learning, a subset of machine learning represents the next stage of development for AI. By using artificial neural networks that act very much like a human brain, machines can take data in ...

One SQL-style statement and six functions have been added to BigQuery’s SQL dialect to support machine learning: the CREATE MODEL statement and the functions ML.EVALUATE, ML.ROC_CURVE, ML ...

Millions of historic newspaper images get the machine learning treatment at the Library of Congress. ... A sample of what you might get if you asked for maps from the Civil War era.