Research

"Ubiquitous AI" refers to AI that is present everywhere, seamlessly embedded in the devices and environments people use every day. As AI models grow larger and more capable, relying solely on the cloud leads to latency, dependence on stable connectivity, high operating cost, and, most importantly, privacy risk. Moving AI onto devices offers a way forward, enabling fast, private, and reliable intelligence across emerging systems such as self-driving vehicles, Apple Intelligence, AI-powered wearables, and smart appliances. This trend is accelerating and is expected to extend even further into home robots, assistive devices, implanted technologies, and future everyday platforms.

Achieving ubiquitous AI, however, introduces unique technical challenges. AI models must run on devices with strict limits on compute power, memory, and energy. In addition, AI must adapt to individual differences and constantly changing environments, since users have diverse behaviors and devices vary widely in sensors and hardware capabilities. Making AI efficient and adaptive at the same time is a central goal of ubiquitous AI research. It represents the next era of computing, where intelligence supports people anytime and anywhere directly from the devices around them.