After Apple decided to allow its researchers to publicly share their findings, its first academic paper was published at the end of last year. Now, that research has just won a “Best Paper Award” at a prestigious machine learning and computer vision conference.
The first academic paper to be published in connection with Apple was Learning from Simulated and Unsupervised Images through Adversarial Training by Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb Apple Inc. The full document can be found here.
This research on AI was submitted to CVPR (Conference on Computer Vision & Pattern Recognition) which is regarded as one of the most distinguished and influential of conferences in this field.
Keep in mind this was Apple’s first publication of its research and was one of over 2,600 submissions to CVPR 2017 and it won a Best Paper Award (along with one other submission), quite an impressive accomplishment!
Last month we saw Apple further its efforts to publish its research with the launch of its Apple Machine Learning Journal. This week we also saw three new journal posts that will be presented at Interspeech 2017 in Stockholm this week. One part that is particularly interesting is a audio sampling comparison of Siri from iOS 9, 10, and 11 (found at the very bottom of Vol. 4).
If you’re curious about Apple’s award winning research paper, but don’t want to dive into the whole thing, here is the Abstract:
Thanks, Tom!
