After announcing its intention to publish artificial intelligence research at the start of the month, the regularly secretive Apple has done so exactly.
Its first public paper, submitted late last week, revolves around an algorithm learning to recognise images that are generated by a computer, as opposed to existing ones captured by a camera.
The first publicly accessible Apple Paper, titled ‘Learning from Simulated and Unsupervised images through Adversarial Training’, credits a team of six researches – Ashish Shrivastava, Tomes pfister, Oncel Tuzel, Josh Suss-kind, Wenda Wang, and Russ Webb- in addition to the company, Apple Inc. itself.
Incidentally, the paper had been in submission since November 15, which points to the fact Apple had measured opening up its limiting policies before the actual statement in December at the Neural information processing systems conference in Barcelona.
The reason this is a important step for Apple is because the company has, for years, disallowed its staff from openly publishing their investigate for the larger community.
This in turn has delayed its efforts to hire the best people in the field, who like to commonly interact with others but cannot owing to Apple’s attachment for confidentiality.
Allowing its team of researchers to publish openly, and contribute to the wider academia should help earn Apple better marks from the AI neighbourhood, and lure better researchers in the process. Until now, the only move for Apple had been to acquire other companies outright.
But with machine learning becoming more and more important in today’s age the Google Assistant is a well known example of its capabilities Apple is starting to embrace one facet of the open world.