At trade fairs like the Mobile World Congress and IFA, Huawei, Samsung and Qualcomm are the main companies that focus on AI. There's the new Kirin 980 with not one, but two NPUs from Huawei's chip subsidiary Hisilicon, Bixby 2.0 from Samsung and Qualcomm's AI Engine. You can also throw in Apple's new bionic processor and Google's Pixel Visual Core into that mix. These are currently the three important areas of application for AI on smartphones:

• Photo, video and image recognition: detecting objects in front of the camera, adjusting settings for photos and videos, and cataloging images based on their content. These are things that can easily be optimized with AI tools, such as machine learning chips or algorithms. That's precisely what Google, Huawei and Apple do with their AI solutions. Qualcomm's AI Engine is also optimized for this kind of processing.
• Language and translation: machine learning is an excellent way to recognize patterns in spoken language. It's used to recognize a speakers' commands, even when at a distance or with the presence of background noise. It helps Alexa, Siri, Cortana and co. communicate better. Translation services are also important in the field of communication. Microsoft's translator and DeepL rely heavily on AI to yield more natural translation results.
• Performance and battery life: making tasks that utilize AI features less battery-draining and more efficient overall. The more AI tools are used sensibly, the more potential there is for improving battery life.

Of course, this is only the current state of AI functions. AI is growing rapidly in the world of smartphones, and in the future we'll see many more applications. Development is progressing and we're still just at the beginning. Yet, even today there are exciting AI functions you can enjoy, if you have the right smartphone.