Jason Mars
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Jason Mars’s Biography
Read Full Bio →Jason Mars’ work is at the intersection of science, technology, and creativity. Jason’s mission to have meaningful impact in the lives of every human is demonstrated by a long list of intellectual and technical contributions.
Jason is a professor of computer science at the University of Michigan where he directs Clarity Lab, one of the best places in the world to be trained in topics spanning artificial intelligence, large scale computing, and programming languages. Among numerous contributions…
Jason Mars’s Journalist Portfolio
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Jason Mars Recommends Growing an Understanding of Markets and Technology for Those Who Want to Gr...
Technologist Jason Mars: Post-COVID, Artificial Intelligence May Cause The Next Economic Crisis -...
Awards
50 Names to Know in IT
2016 - Information Technology
Crain's Detroit Business - 50 NAMES TO KNOW IN INFORMATION TECHNOLOGY From scrappy startups to technology leaders at major companies, here are Michigan’s technology standouts.
National Science Foundation
2016 - Computing and Communication Foundations
Advancing the Frontier in System Architectures for Artificially Intelligent Services and Applications The way society interacts with today's mobile technologies is rapidly changing as such devices - omnipresent in our lives - become increasingly personal and knowledgeable. Intelligent assistants (IAs), such as Apple's Siri, Google's Google Now, Microsoft's Cortana, and Amazon's Echo, are continuing to become more sophisticated and are expected to grow in popularity as wearables continue to gain traction. The computing capabilities required to support these technology trends continue to evolve toward intelligent systems that use sophisticated machine learning and computer vision algorithms on the critical path of audio and vision interactions. In this proposed work, PI Jason Mars aims to understand how future cloud and mobile systems should be designed (and co-designed) to support increasing demand from users. This proposed work advances both 1) the efficiency of current computing platforms to reduce their energy, cost, and environmental footprint, and 2) the expansion of open end-to-end systems with state-of-the-art algorithmic capabilities to enable new, more sophisticated, intelligent technologies and usher in future research and inquiry. PI Mars' technical approach incorporates three pillars of innovation. These pillars span application insights, to inform the design of underlying systems, vertical innovation to advance the cross-layer design of the system stack for emerging applications and services, and horizontal innovation to reason about a computational fabric spanning mobile hardware and cloud hardware to create a unified platform for computation. In addition to having impact on national interests, economic advancement, and technology in general, this proposed work incorporates significant innovation in undergraduate, and graduate education. The Intelleco and DeepSirius systems described in this proposal will be used to design an undergraduate and graduate course for state-of-the-art datacenter design. In addition all artifacts and teaching materials will be disseminated broadly through open source and creative commons.