Machine learning sessions, documentation, and sample code —all in one place Machine learning Create intelligent features and enable new experiences for your apps by leveraging powerful on-device machine learning. Learn how to build, train, and deploy machine learning and AI models into your iPhone...
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks We aim to increase the flexibility at which a data worker can choose the right tool for the job, regardless of whether the tool is a code library or an interactive graphical user interface (GUI). To achieve this fle...
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MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research. Some key features of MLX include: Familiar APIs: MLX has a Python API that closely follows NumPy. MLX also has fully featured C++,C, andSwiftAPIs, which closely mirror the Py...
whose resources can be dedicated solely to a vision problem, on-device computation must take place while sharing these system resources with other running applications. Finally, the computation must be efficient enough to process a large Photos library in a reasonably short amount of ...
The Photos app learns about significant people, places, and events based on the user’s library, and then presents Memories: curated collections of photos and videos set to music. The key photo for a Memory is influenced by the popularity of iconic scenes learned from iOS users—with DP assu...
(i)MusicKit on iOS lets users play Apple Music and their local music library natively from your apps and games. When a user provides permission to their Apple Music account, your app can create playlists, add songs to their library, and play any of the millions of songs in the Apple Mus...
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(fbxalloc.cxx.o)) built for 'macOS' In the terminal, if I type the command: lipo -info libfbxsdk.a I get the message Non-fat file: libfbxsdk.a is architecture: arm64 confirming that I'm using the library for the correct architecture. Do I need to add any other confifuration...
The scene tags from ANSA are ingested in the Photos knowledge graph, which is the foundation of personalized experiences across the user’s photo library. Detecting food, mountains, beaches, birthdays, pets, or hikes helps build a personalized understanding of the user and their interests. This ...