Using AI in the Industry, Sprucing up the Academia
In this talk, I will discuss how we have used AI over the last 7 years to build tools for grading skills and providing feedback. I will discuss examples of grading programs, video interviews and…
Redesiging Neural Architectures for Sequence to Sequence Learning
The Encoder-Decoder model with soft-attention is now the defacto standard for sequence to sequence learning, having enjoyed early success in tasks like translation, error correction, and speech recognition. In this talk, I will present a…
Chasing convex bodies, from 1817 to 2018
A selector maps a set (in some set system) to an element in that set. In a metric space, Lipschitz selection is the problem of finding a selector that is Lipschitz with respect to the…
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.