Apple Research

As part of its fantastic body of work on speech and voice models, Apple has just published a new study that takes a very human-centric approach to a tricky machine learning problem: not just recognizing what was said, but how it was said. And the accessibility implications are monumental.

Apple is headed to Nashville next week, where it will showcase new computer vision research and run live technical demos at this year’s IEEE/CVF Conference on Computer Vision and Pattern Recognition.

The Apple Research team has published a pretty interesting study that investigated whether AI models can estimate heart rate from stethoscope recordings, even though they weren’t specifically trained with that purpose in mind. The short answer is: yes. And this is great news. Here’s why.

Ask any non-native English speaker, and they’ll probably tell you that LLMs tend to perform much better in Shakespeare’s language than in their own

Sometimes, the difference is subtle. Sometimes, not so much. Sometimes, it’s downright dangerous, as shown in this 2023 Carnegie Mellon study, which found that non-English inputs could more easily bypass safety filters.

Now, Apple has co-authored a study proposing a new method that could close part of this gap.

Apple on Wednesday released a new version of its Apple Research app, which is aimed at letting users contribute to scientific health research using their Apple devices. With version 5.0, users can now share family health history with studies. Read on as we detail everything that’s new with the update.