7. Offline Capabilities: Devices can function efficiently without constant internet connectivity, including on aircraft, in locations with spotty or slow coverage.
8. Adaptability: Learning from users in real-time to evolve and refine recommendations. Phones will be able to maintain local databases of user responses and actions that will be leveraged by local AI and optimize the user experience.At the Mobile World Congress in February, attendees witnessed the potential of Qualcomm's on-device generative AI.
And these on-device ambitions aren't confined to phones. Applications in personal computers and vehicles are also on the horizon. With local AI, tasks like auto-generating call notes, creating augmented reality environments, assisting visually impaired users with real-time feedback, or adjusting teaching methods based on students' reactions will all become possible and, very quickly, expected.
While Qualcomm leads the charge for now, this is an area likely to become rapidly commoditized. Huawei has had aspirations to develop AI-focused mobile chips, and even from the broader market, competition is fierce. Apple, Google, and Microsoft are all running their respective AI projects and trying to push the boundaries of on-device AI. The landscape likely to emerge suggests smartphones will soon be the most used platform for advanced AI applications.
I’ll have my eyes on Qualcomm's upcoming Snapdragon Summit. The event promises deeper insights into the company's direction and broader industry on-device AI trends. The advancements in mobile AI will signify a pivotal moment in how we use our devices, making them an even more deeply integrated part of our brains.
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