At the Neural Information Processing Systems (NIPS) conference earlier this month, Russ Salakhutdinov of Apple showed a slide that Apple would initiate to publish research papers. The previous ban on publishing research papers by Apple meant that less researchers in the cutting edge of AI research would work for the company. AI researchers present at the conference were blown away by the design and the type face of the slide, more than the announcement.
Barely a month has gone by, and Apple has already published its first research paper. The paper is published on Arxiv, and demonstrates a unique approach to quickly train machines. Machine learning approaches for machine vision use big databanks of real images, which need the features of the images to be mapped. This is an expensive and time consuming process. An alternate method is to train computers on generated images, the features of which can be effortlessly tagged.