Apple introduced a series of innovations that significantly expand the user experience by integrating the new artificial intelligence infrastructure, which he calls “Apple Intelligence” into iPhone, iPad, Mac, Apple Watch and Apple Vision Pro devices. According to the statement, with Apple Intelligence, communication, productivity, visual analysis, customized suggestions, a large number of functions are being developed. This system works with a priority structure with Privacy, thanks to Apple’s own large language model.
Apple’s Senior Vice President of Software Engineering Craig Federight said in a statement that this artificial intelligence infrastructure can work within the device and the direct access to developers increases the flexibility and effectiveness of the system. In addition, these features will support eight new languages, including Turkish by the end of the year.
Basic innovations coming with Apple Intelligence
Multilingual communication is easier with live translation feature
The “Live Translation” feature offered within the Apple Intelligence is possible that people who speak different languages are able to agree in real time through their devices. Thanks to this feature, which can be used through messages, facetime and phone calls, users can be translated automatically when writing messages, incoming messages are translated instantly and translations are transferred to the sound during phone calls. All this process is carried out by the models running on the device and the privacy of personal data is maintained.

Possibility of making transactions based on visual intelligence and content on the screen
Apple Intelligence enhances visual intelligence functions to enable users to do more than the content they view on their screens. For example, when a product photo is displayed, the user can call this product in Google, ETSY or other supported applications with similar images. In addition, details such as calendar activities and details such as history and location can be transformed automatically into an event. Access to visual intelligence can be achieved quickly by pressing screenshot buttons.
Personalized Visual Production with Genmoji and Image Playground
The “Genmoji” and “Image Playground” features, which allow users to express themselves more creatively, include emoji and visual creation functions based on text explanations. In this system, users can produce a text with special genemoji, combine existing emojis, create new combinations, or create personalized portraits and scenes with Image Playground. Image Playground also offers new style options with Chatgpt -supported style options, allowing vector art or oil painting.
Workout Buddy support for Apple Watch
The “Workout Buddy” feature developed for Apple Watch offers personalized exercise guidance based on the user’s physical activity data and past performances. Thanks to these data processed by Apple Intelligence, dynamic voice feedback is supported by models that provide the user motivation and use the tones of fitness+ trainers. This feature works only when it is paired with iPhone devices with Apple Intelligence and when Bluetooth headset is used.
Artificial Intelligence Support for Fixing Application
Apple Intelligence makes the “Shortcuts” application smarter. Users can now create predictions based on Apple Intelligence models. For example, it is possible for a student to produce a prediction that compare the course audio recording with his notes. In addition, this system can also integrate with chatgpt and can perform tasks such as text summary or visual production according to user request.
On-Device Foundation Model opened to application developers
Apple, Apple Intelligence infrastructure, which forms the basis of the large -device model, “Foundation Models” framework for the use of developers. In this way, developers will be able to create a new generation of application features that work and maintain user privacy without the need for internet connection. Thanks to the Swift -specific natural support, this integration can be performed with only three -line code. For many scenarios from training applications to nature hiking software, a new generation of smart functions are paved the way for developing.
Other new features
Apple Intelligence; It also brings various improvements to applications such as mails, notes, messages, calendar and photos:
- In the mail application, summary tools are presented to the most important information from the correspondence.
- Automatic summarizing function is added for notes and call transcripts.
- The messages are integrated into the application for a background creation and group chats.
- The disturbing elements in the photographs can be deleted with the “Clean Up” tool.
- Siri now has a more natural speaking ability and can understand consecutive commands without breaking the context.
- The device is supported by natural language and visual search or content editing.
Transition to Artificial Intelligence Architecture with privacy -oriented
One of the most striking aspects of Apple Intelligence is the artificial intelligence approach based on privacy. While many operations are carried out directly on the device, a special system called “Private Cloud Compute ında comes into play in tasks requiring a stronger model. This cloud infrastructure works so that user data cannot be accessed by Apple. The server codes used are kept open to control by independent experts.
Publication Date and Compatible Devices
Apple Intelligence features are currently open to testing through the Apple developer program. Open to the public beta version will be presented next month. Supported devices include iPhone 15 Pro, iPhone 16 Series, M1 and Mac models with chips with chips. Although features will be presented only in certain languages in the first stage, eight new language supports, including Turkish by the end of the year, will be added to the system.
With these innovations, Apple integrates artificial intelligence -supported functions into the product ecosystem and diversifies the user experience and offers new tools to application developers. However, how this transformation will have an effect on user habits and data safety will emerge more clearly after the system has started to be used.