Now showing items 1-9 of 9
The Geometry of Community Detection via the MMSE Matrix
The information-theoretic limits of community detection have been studied extensively for network models with high levels of symmetry or homogeneity. In this talk, Reeves will present a new approach that applies to a broader ...
The Data-Driven Analysis of Literature
Literary novels push the limits of natural language processing. While much work in NLP has been heavily optimized toward the narrow domains of news and Wikipedia, literary novels are an entirely different animal--the long, ...
Contextual AI - The Next Frontier Towards Human-Centric Artificial Intelligence
This talk motivates a more human-centric wave of AI, dubbed Contextual AI. Contextual AI does not refer to a specific algorithm or machine learning method - instead, it takes a human-centric view and approach to AI. The ...
Perception at Magic Leap
This talk presents the importance of Computer Vision and Deep learning techniques in making Magic Leap an effective spatial computing platform. The four fundamental modalities are introduced: head pose tracking, world ...
NLP Approaches to Campaign Classification
Mailchimp is the world's largest marketing automation platform. Over a billion emails are sent by it every day, which raises the question: what exactly are users sending? We'll do a deep dive into the natural language ...
A Discussion on Fairness in Machine Learning with Georgia Tech Faculty
Fairness in machine learning and artificial intelligence is a hot, and important topic in tech today. Join Georgia Tech faculty members Judy Hoffman, Rachel Cummings, Deven Desai, and Swati Gupta for a panel discussion on ...
Learning to Optimize from Data: Faster, Better, and Guaranteed
Learning and optimization are closely related: state-of-the-art learning problems hinge on the sophisticated design of optimizers. On the other hand, the optimization cannot be considered as independent from data, since ...
Situated Natural Language Understanding
AI Driven Design Approach
Design Space Exploration (DSE) is an activity that is performed to systematically analyze several design points and then select the design(s) based on parameters of interest and design requirements. For complex systems, ...