Earlier this month, Apple made a splash when it told the artificial intelligence research community that the secretive company would start publishing AI papers of its own. Previously the company was not willing to allow its AI engineers to publish scientific papers. Similarly, the AI research community was critical of Company’s secretiveness for many years. Moreover, this affected recruitment of AI talent. However, Russ Salakhutdinov, an Apple director of AI research said that the policy has now changed. Not even a month later, Apple Inc. is allowing to publish its artificial intelligence teams to publish research papers. They are marking a significant change in strategy that assists in accelerating the iPhone’s makers advances in deep learning.
Apple has published its very first AI paper on Dec.22.
It describes a technique for improving training of an algorithm’s ability to recognize images. In machine learning research, using synthetic or computer generated images to train neural networks is more efficient than real-world images. That’s because synthetic image data is already labeled and annotated, while real-world image data requires labelling everything. However, the synthetic image approach can be problematic. It is because what algorithm learns doesn’t always carry over neatly to real world scenes. The synthetic image data “is often not realistic enough, leading the network to learn details only present in synthetic images and fail to generalize well on real images,” the paper from the company says.
The Apple researchers use Generative Adversarial Networks. Its a modified version of a new machine learning technique. Additionally, it pits two neural networks against each other and has been used to generate photorealistic images. The Apple employees listed as co-authors on the paper include Tomas Pfister, Oncel Tuzel, Wenda Wang, Russ Webb and Josh Susskind. They co-founded an AI startup that assessed a person’s emotions by looking at facial expressions called Emotient. However, Apple acquired it earlier this year.
Apple’s first AI paper marks a major step for the company. The move towards more openness with the community is important for Apple as the push for more advanced AI software spreads across the tech industry. AI software is becoming essential for everything like camera capabilities, internet services in data center and so on.