Apple publishes its first paper on artificial intelligence

Apple's first public research paper on AI was penned by vision expert Ashish Shrivastava and a team of engineers including Tomas Pfister, Oncel Tuzel, Wenda Wang, Russ Webb and Apple Director of Artificial Intelligence Research Josh Susskind, appleinsider.com Shrivastava holds a PhD in computer vision from the University of Maryland. Titled'Learning from Simulated and Unsupervised Images through Adversarial Training', the paper describes techniques of training computer vision algorithms to recognise objects using synthetic, or computer generated, images. However, learning from synthetic images may not achieve the desired performance owing to a gap between synthetic and real image distributions. To reduce this gap, Apple has proposed Simulated plus Unsupervised (S U) learning, where the task is to learn a model to improve the realism of a simulator's output using unlabelled real data while preserving the annotation information from the simulator.