Panel Discussion: Challenges & Opportunities in AI
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
Private Multi-party AI
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
Enzian: Research Hardware for Systems support for AI
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
Co-designed Systems for Efficient DNN Training
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
Systems Support for AI
AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with…
Program Synthesis Meets Machine Learning
We give a tutorial overview of program synthesis, from its first formulation by Church in 1957, through its pragmatic evolution through sketching and programing-by-examples, and compare program synthesis with supervised machine learning. We then present…
Academic Research Summit 2019 on Data Science and AI – Welcome Session
Academic Research Summit 2019 introduction and welcome.
Empowering people with AI with Dr. Cecily Morrison
Episode 60, January 23, 2019 – Dr. Morrison gives us an overview of what she calls the “pillars” of inclusive design, shares how her research is positively impacting people with health issues and disabilities, and…
Machine Learning and Fairness
Originally a discipline limited to academic circles, machine learning is now increasingly mainstream, being used in more visible and impactful ways. While this growing field presents huge opportunities, it also comes with unique challenges, particularly…