Since the beginning of 2017, Apple has bought 21 startups in the field of artificial intelligence
Since the beginning of 2017, Apple has acquired 21 startups in the field of artificial intelligence, writes the Financial Times with reference to research by PitchBook. Early last year, the corporation bought California startup WaveOne, which offers an AI algorithm for video compression.
Apple is gradually building up its AI capabilities by buying companies, hiring employees, and upgrading hardware to deploy AI features in the next-generation iPhone.
A Morgan Stanley study found that half of Apple’s AI job openings include the term “deep learning,” which refers to the algorithms behind generative AI. In 2018, the company hired Google’s top AI manager, John Giannandrea.
Apple has typically remained tight-lipped about its AI plans, with rivals Microsoft, Google and Amazon touting multibillion-dollar investments in cutting-edge technology. Industry insiders say the Cupertino-based company is working on its big language models.
Last summer, Apple CEO Tim Cook revealed that the company is “researching a wide range of AI technologies” and investing and innovating when it comes to new technologies.
Apple is likely planning to use generative AI on mobile devices. This will allow chatbots and other AI applications to run on the hardware and software of gadgets, rather than using cloud services in data centers. The implementation of such a task requires a reduction in the size of language models and the introduction of more productive processors.
Samsung and Google claim that their smartphones support generative artificial intelligence functions autonomously on the device.
At WWDC 2024, Apple will present a new version of its mobile operating system – iOS 18. Morgan Stanley analysts believe that the OS will be focused on supporting generative AI and will include the Siri voice assistant based on a large language model.
Last October, Apple introduced the M3 Max processor for the MacBook. The manufacturer said that the solution opens up new opportunities for AI developers working with billions of data parameters.
The S9 chip for the new versions of the Apple Watch allows Siri to access and log data without an internet connection. The A17 Pro processor in the iPhone 15 has a neural engine, the performance of which has doubled compared to the previous generation of chips.
Last year, Apple, in collaboration with Columbia University, released Ferret, a large, open-source multimodal language model.