Apple Intelligence To Bring Personal AI To Mac, IPhone And IPad

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I’m a San Jose-based technology analyst at TIRIAS Research with over 30 years of engineering, market research, and analyst experience. TIRIAS Research is a high-tech research and advisory firm consisting of experienced analysts.

Apple has incorporated its Neural Engine Neural Processing Unit into all Apple processors for several generations, using it for local machine learning such as intelligent photo processing. Now, during the recent WWDC keynote, Apple announced it is going use those Neural Engines to bring generative and large language models that can run on-device on its main Apple products.

Not all Apple products will be able to support Apple Intelligence – only Mac and iPad products with M-series processors and last year’s iPhone 15 Pro with the A17Pro processor. In addition to a certain level of TOPs performance required for the Neural Engine in the Apple silicon, it also appears that Apple needs at least 8GB of DRAM to hold the GenAI models .

Apple will have an improved Siri using AI for richer language processing and adding better understanding of relevant on-device context. Apple will also add typing as an input to Siri. The enhanced Siri can be used for feature descriptions for control functions or to find information, even across apps. It will also have on-screen awareness of the information on the display screen when in use.

One of the more fun uses of this new Apple Intelligence will be the creation of custom AI generated emoji characters, which Apple is calling “Genmoji.” The Image Playground will use a description describing the image and the style to generate these customized emoji. The image generator can use your own picture library for the image generation. Apple Intelligence will allow natural language image search on photos and videos and allow you to create your own memory movie based on your inputs.

The goal of Apple Intelligence is to make your interface with the PC, phone or tablet grounded with personal information and real-time screen information capture. This gives the local AI context using real time and personalized information. Privacy can be maintained by keeping the data on-device.

 

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