In many real world medical image classification settings we do not have access to samples of all possible disease classes, while a robust system is expected to give high performance in recognizing novel test data. We propose a generalized zero shot learning (GZSL) method that uses self supervised learning (SSL) for: 1) selecting anchor vectors of different disease classes; and 2) training a feature generator. Our approach does not require class attribute vectors which are available for natural images but not for medical images. SSL ensures that the anchor vectors are representative of each class. SSL is also used to generate synthetic features of unseen classes. Using a simpler architecture, our method matches a state of the art SSL based GZSL method for natural images and outperforms all methods for medical images. Our method is adaptable enough to accommodate class attribute vectors when they are available for natural images.

Artificial intelligence (AI) is everywhere today -- or at least it seems that way. The technology certainly holds a lot of promise because it will enable all sorts of automation for business processes that are still largely manual, and deliver more power to data analytics. One area that AI is already affecting and is destined to have an even bigger impact on is DevOps. Experts say AI and machine learning (ML) have the potential to enhance DevOps, even as many organizations are beginning to adopt the model to gain efficiencies in application development and other areas of their business. Get the latest insights with our CIO Daily newsletter.

Public speaking can be terrifying. Before every TechCrunch Disrupt, moderators are required to go through mandatory speaker training to ensure we're not flaming disasters on stage. Our bosses bring in a real-life human to train us and point out how often we use filler words or simply don't make any sense at all. It listens to you speak, compares your speeches to pros like President Barack Obama and then gives you immediate feedback. "Public speaking is one of the biggest challenges for engineers," Chirag Mahapatra, co-creator of the project and engineer at Airbnb, said.