Turns out, computers do too. When US and European researchers fed pictures of congressmembers to Google's cloud image recognition service, the service applied three times as many annotations related to physical appearance to photos of women as it did to men. The top labels applied to men were "official" and "businessperson;" for women they were "smile" and "chin." "It results in women receiving a lower status stereotype: That women are there to look pretty and men are business leaders," says Carsten Schwemmer, a postdoctoral researcher at GESIS Leibniz Institute for the Social Sciences in Köln, Germany. He worked on the study, published last week, with researchers from New York University, American University, University College Dublin, University of Michigan, and nonprofit California YIMBY.

Machine learning is the name of the game for Amazon Web Services Inc. this week, as it spills out a couple of major announcements ahead of its big re:Invent conference next week in Las Vegas. The public cloud computing giant said Wednesday it's planning to open a new machine learning laboratory, called the ML Solutions Lab, that will see its experts work alongside customers looking to build new artificial intelligence-based technologies. In addition, Amazon said it's adding new features to Amazon Rekognition, a deep-learning-powered image recognition platform, including real-time face recognition and the ability to spot text in images. The announcements underline the importance Amazon is placing on its AI efforts, which can benefit both its cloud computing arm and also its main retail business. The company has made a number of announcements in the field in recent months.

This tutorial shows how to build an image recognition service in Go using pre-trained TensorFlow Inception-V3 model. The service will run inside a Docker container, use TensorFlow Go package to process images and return labels that best describe them. Full source code is available on GitHub. Inside project's root directory create docker-compose.yaml It uses official TensorFlow Docker image as its base image.

One of the basic features of artificial intelligence (AI) is the ability to recognize images and process them. Companies like Microsoft and Google have debuted tools to show how accurate their image recognition platforms are. Now it seems that Amazon wants in as well as they have announced Amazon Rekognition. This is an image recognition service that is part of a suite of deep-learning services that Amazon has recently announced for developers. For the most part it does what most image recognition services do, which is to identify human faces, identify emotions, and label objects just by looking at it.