Design AI systems that learn continually by interacting with a dynamic environment, while making decisions that are timely, robust, and secure
Personalized AI
Design AI systems that enable personalized applications and services yet do not compromise users’ privacy and security
AI across Organizations
Design AI systems that can train on datasets owned by different organizations without compromising their confidentiality and thereby allowing AI capabilities spanning the boundaries of organizations
AI demands outpacing Moore's law
Develop domain-specific architectures and software systems to address the performance needs of future AI applications in the post Moore's Law era