If big tech companies and venture capital investments are to be believed, AI and machine learning will only become more ubiquitous in the coming years. However it shakes out, Giannandrea and Borchers made one thing clear: machine learning now plays a part in much of what Apple does with its products, and many of the features consumers use daily. And with the Neural Engine coming to Macs starting this fall, machine learning’s role at Apple will likely continue to grow.
John Giannandrea joined Apple a few years ago from Google to run the AI part of the business and the fruits of his expertise appear to be paying off according to this article. There’s a lot of direct quotes and anecdotes in this article, but near the end you get the feeling that there’s a cultural shift happening in Cupertino:
After a long track record of mostly working on AI features in the dark, Apple’s emphasis on machine learning has greatly expanded over the past few years.
The company is publishing regularly, it’s doing academic sponsorships, it has fellowships, it sponsors labs, it goes to AI/ML conferences. It recently relaunched a machine learning blog where it shares some of its research. It has also been on a hiring binge, picking up engineers and others in the machine learning space—including Giannandrea himself just two years ago.Remember when Giannandrea said he was surprised that machine learning wasn’t used for handwriting with the Pencil? He went on to see the creation of the team that made it happen. And in tandem with other teams, they moved forward with machine learning-driven handwriting—a cornerstone in iPadOS 14.