fellowships, recruits interns, and offers residencies. It also runs a rare public-facing site where it publishes a large amount of its machine-learning research and actively sponsors Ph.D. Broadly speaking these are all technologies that involve algorithms that use data to learn and improve.Īpple’s investment in machine learning is clear: in 2018 the company hired Google’s head of machine intelligence, John Giannandrea, as its Senior Vice President of Machine Learning and AI Strategy, reporting directly to Tim Cook. The large language models behind tools like ChatGPT, Google’s Bard, and Microsoft’s new Bing chatbot take advantage of machine learning technologies, as do image generators like DALL-E and Stable Diffusion. Though machine learning may technically only be a subset of artificial intelligence (and there’s some disagreement on even that) the two terms are often used interchangeably, at least on a colloquial basis.
While the company doesn’t often talk about “artificial intelligence,” it does spend a lot of time discussing “machine learning” (ML), which is a critical underpinning to a lot of Apple’s latest technologies. One reason that Apple’s AI work is sometimes overlooked is simply one of terminology. But, as is always the case with this particular canard, the truth is that Apple’s been doing AI in its own particular way, and it’s not about chasing the market.
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