Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Social and Emotional Artificial Intelligence
Given that emotion is a key element of human interaction, enabling artificial agents with the ability to reason about affect is a key stepping stone towards a future in which technological agents and humans can…
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ABC: Large Scale Labeled Data for Classification
This download contains the processed datasets used in the AAAI’19 paper ABC: Efficient Selection of Machine Learning Configuration on Large Dataset. A machine learning configuration refers to a combination of preprocessor, learner, and hyperparameters. Given…
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First TextWorld Problems—Microsoft Research Montreal’s latest AI competition is really cooking
This week, Microsoft Research threw down the gauntlet with the launch of a competition challenging researchers around the world to develop AI agents that can solve text-based games. Conceived by the Machine Reading Comprehension team…
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A Deep Learning Theory: Global minima and over-parameterization
One empirical finding in deep learning is that simple methods such as stochastic gradient descent (SGD) have a remarkable ability to fit training data. From a capacity perspective, this may not be surprising— modern neural…
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Fast, accurate, stable and tiny – Breathing life into IoT devices with an innovative algorithmic approach
In the larger quest to make the Internet of Things (IoT) a reality for people everywhere, building devices that can be both ultrafunctional and beneficent isn’t a simple matter. Particularly in the arena of resource-constrained,…
