AI Advances into Apple Devices with Apple Intelligence: Here’s How That Might Help Research

Apple’s latest AI announcement brings everyone improved writing tools, advanced visual data analysis, multimodal data processing, and strong privacy measures.

Apple has just announced it’s long awaited leap into in artificial intelligence (AI) through its Apple Intelligence. Integrated across iPhones, iPads, and Macs, these coming AI capabilities are designed to elevate productivity, communication, and data analysis while maintaining privacy and security. They are also designed to make sure Apple is seen as part of the new AI future.

But AI coming to Apple will mean that AI is coming to potentially 1.3 billion active iPhone users worldwide (based on 2024 web traffic) which will quickly put AI in the hands/pockets of a huge number of researchers and scientists who have so far perhaps been watching the AI revolution from afar. So if you’ve not looked at AI yet, what can you expect from the upcoming Apple Intelligence?

Enhanced Writing Tools and Communication

Apple’s new AI-powered Writing Tools streamline the writing process by offering features such as automated proofreading, tone adjustments, and summarization of large texts. These tools are integrated into native and third-party apps, enabling researchers to effortlessly refine manuscripts, grant proposals, and collaborative documents. This capability can significantly reduce the time spent on editing, allowing researchers to focus more on content creation and data analysis.

The prioritized notification system ensures that important messages and deadlines are highlighted, minimising distractions and enhancing productivity. For example, emails and messages can be summarized quickly, helping researchers stay on top of critical communications without sifting through extensive threads.

Visual and Data Analysis Enhancements

Apple Intelligence introduces innovative tools like the Image Wand and Image Playground, which can convert sketches and textual descriptions into detailed visual representations. This feature is particularly useful for researchers who need to create visual abstracts, diagrams, or models from raw data or conceptual sketches. The ability to generate and customize images quickly can enhance presentations and publications, making complex data more accessible and understandable.

The AI also offers advanced photo and video search capabilities, allowing researchers to locate specific visuals within large datasets using descriptive prompts. This can be invaluable in fields like biology and environmental science, where visual data plays a crucial role.

Multimodal Data Processing and Privacy

Apple Intelligence leverages multimodal AI to process and integrate diverse data types, from text and images to audio recordings. For instance, researchers can use AI to transcribe and summarize interviews or lectures, providing quick access to key insights without manually reviewing hours of recordings. This feature supports efficient data handling and accelerates the research process.

Crucially, Apple maintains a strong emphasis on privacy with on-device processing and Private Cloud Compute. This ensures that sensitive research data remains secure and private, a critical consideration for researchers handling proprietary or confidential information.

Integration with Siri and ChatGPT

The integration of ChatGPT into Siri and Writing Tools offers researchers access to a sophisticated conversational AI for quick queries and complex problem-solving. This can enhance day-to-day tasks, from scheduling and reminders to retrieving specific information from documents and datasets. Researchers can interact with AI to draft emails, set reminders, or even troubleshoot technical issues, streamlining their workflow.

Implications for Future Research

For anyone not already using AI, Apple’s AI advancements represent a significant leap forward for researchers, providing tools that enhance efficiency, accuracy, and productivity while safeguarding privacy. By integrating these AI capabilities into everyday devices, Apple opens up access to advanced AI tools, potentially transforming how research is conducted across various scientific disciplines. As these tools continue to evolve, they will likely foster greater innovation and collaboration, or at the very least help us all write emails a little better.

For more information, visit Apple Intelligence.


Matthew has been writing and cartooning since 2005 and working in science communication his whole career. Matthew has a BSc in Biochemistry and a PhD in Fibre Optic Molecular Sensors and has spent around 16 years working in research, 5 of which were in industry and 12 in the ever-wonderful academia.

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