12.12.17 7:02 Workshop on AI and Social Good
Artificial Intelligence has become a ubiquitous part of our daily lives, and this rise in AI applications has stimulated significant interest from the public, media and policy makers.
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12.12.17 13:11 AI and Social Good - Intro
Microsoft Research India, in collaboration with IISc and University of Southern California (USC), organized a two-day workshop on exploring the use of artificial intelligence for enabling social good.
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12.12.17 1:09:22 Foundations of Data Science - Lecture 9 - Two Applications of SVD
Modern data often consists of feature vectors with a large number of features.
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12.12.17 1:10:30 Foundations of Data Science - Lecture 8 - Low Rank Approximation (LRA) via Length Squared Sampling
Modern data often consists of feature vectors with a large number of features.
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12.12.17 1:10:20 Foundations of Data Science - Lecture 7 - Singular Value Decomposition - ll
Modern data often consists of feature vectors with a large number of features.
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12.12.17 1:19:15 Foundations of Data Science - Lecture 6 - Singular Value Decomposition - l
Modern data often consists of feature vectors with a large number of features.
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12.12.17 1:14:00 Foundations of Data Science - Lecture 5 - Length Squared Sampling in Matrices
Modern data often consists of feature vectors with a large number of features.
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12.12.17 1:19:34 Detecting and Recognizing Text in Natural Images
Text in natural images possesses rich information for image understanding. Detecting and recognizing text facilitates many important applications.
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11.12.17 1:53 CodeTalk: Rethinking IDE Accessibility
Why aren’t IDEs (Integrated Development Environments), immensely powerful tools made specifically to improve developer productivity, not helping Venkatesh?
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11.12.17 44:42 Seattle Angel Conference XII: Pitch 4-6
Seattle Angel Conference is an 'investor education' group whose goal is to improve the Seattle startup ecosystem' by increasing the amount of capital available to new startups.
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11.12.17 47:01 Seattle Angel Conference XII: Pitch Overview 1-3
Seattle Angel Conference is an 'investor education' group whose goal is to improve the Seattle startup ecosystem' by increasing the amount of capital available to new startups.
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11.12.17 49:58 Seattle Angel Conference XII: Announcements, Alumni Reports, and Keynote
Seattle Angel Conference is an 'investor education' group whose goal is to improve the Seattle startup ecosystem' by increasing the amount of capital available to new startups.
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11.12.17 58:42 Universal Fault-Tolerant Computing with Bacon-Shor Codes
We present a fault-tolerant universal gate set consisting of Hadamard and controlled-controlled-Z (CCZ) on Bacon-Shor subsystem codes.
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10.12.17 1:03:12 Vega-Lite: A Grammar of Interactive Graphics
Vega-Lite is a declarative format for rapidly creating interactive visualizations.
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06.12.17 1:22 Disparity | Artist in Residence
Exploring the discrepancies in data through physicality. This piece, the creation of artist in residence, Aduén Darriba Fredericks, with the assistance of visualization researcher, Steven M.
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05.12.17 33:29 Building a New View of Transcriptome Variations
In this talk, I will review some of the challenges and advances we have made in building a new view of transcriptome complexity, along with and the kind of tools that can be used to infer it. See
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05.12.17 47:29 Random self-similar trees: dynamical pruning and its applications to inviscid Burgers equations
Consider the fractional Brownian motions on the real line. What should we expect if we replace the real line by a manifold M?
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04.12.17 1:18:12 Explaining Inconclusive Outcomes from Software Model Checkers to Users
This talk will be centered on partial verification results. Software model checkers can be used both to find bugs and to prove certain properties hold.
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27.11.17 1:03:10 Pacific Northwest Probability Seminar: An Analysis of Spatial Mixing
In joint work with Soumik Pal, we study natural mixing processes where cards (or dominoes or mahjong tiles) are 'smushed' around on a table with two hands. How long should mixing continue.
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20.11.17 1:01:05 Keynote: Smart Enough to Work With Us? Foundations and Challenges for Teamwork-Enabled AI Systems
For much of its history, AI research has aimed toward building intelligent machines independently of their interactions with people.
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20.11.17 45:29 Pacific Northwest Probability Seminar: Gravitational Allocation to Uniform Points on the Sphere
Given n uniform points on the surface of a two-dimensional sphere, how can we partition the sphere fairly among them? "Fairly" means that each region has the same area.
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20.11.17 46:43 Pacific Northwest Probability Seminar: A Characterization Theorem for the Gaussian Free Field
We prove that any random distribution satisfying conformal invariance and a form of domain Markov property and having a finite moment condition must be the Gaussian free field.
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20.11.17 49:07 Two-round Secure Multiparty Computations from Minimal Assumptions
A secure multiparty computation protocol allows a set of mutually distrusting parties to compute a joint function of their private inputs without leaking anything apart from the output of the
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20.11.17 59:04 Intent and Emotions in Image Search and Viewing
The talk is divided into two sections. In the first section, I will talk about behavioral and physiological responses associated with interest, curiosity, and novelty in image viewing.
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20.11.17 30:20 Using Large Scale Genomic Databases to Improve Disease Variant Interpretation
Rapid advances in sequencing technology have led to the generation of genome-scale DNA sequencing data for more than 2 million individuals worldwide.
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20.11.17 50:06 Pacific Northwest Probability Seminar: Optimal Matching of Gaussian Samples
Optimal matching problems are random variational problems widely investigated in the mathematics and physics literature.
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17.11.17 1:16:09 Foundations of Data Science - Lecture 4
Modern data often consists of feature vectors with a large number of features.
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17.11.17 52:39 Foundations of Data Science - Lecture 3
Modern data often consists of feature vectors with a large number of features.
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17.11.17 49:26 Foundations of Data Science - Lecture 1
Modern data often consists of feature vectors with a large number of features.
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16.11.17 59:01 Foundations of Data Science - Lecture 2
Modern data often consists of feature vectors with a large number of features.
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