Search for tag: "parc"

Annabelle Singer - Decoding Memory in Health and Alzheimer’s Disease

In this talk I will discuss how neural activity goes awry in Alzheimer’s disease, driving specific frequencies of neural activity recruits the brain’s immune system, and new methods to…

From  Kathryn Gentilello 6 Days ago 4 views 0  

Kunal Talwar - Amplification Theorems for Differentially Private Machine Learning

A rigorous foundational approach to private data analysis has emerged in theoretical computer science in the last decade, with differential privacy and its close variants playing a central role. We…

From  Kathryn Gentilello 2 Weeks ago 8 views 0  

Lisa Marks, Grace Leslie, Tarek Rakha - Introducing New Voices in Design Research

The forums are an opportunity for us to share our design- and technology-focused research. This academic year we have several new faculty members producing compelling work. We have invited some of…

From  Kathryn Gentilello 3 Weeks ago 4 views 0  

Mikyoung Kim - Navigating the Art & Science of the Landscape

Mikyoung Kim shares the work of the Mikyoung Kim Design firm and their research and development of landscapes that focus on environmental and physiological health and well being in the public realm…

From  Kathryn Gentilello A month ago 5 views 0  

Zena Howard - Culture in Architecture: An Expression of Values

This lecture is presented by the School of Architecture and the Georgia Tech National Organization of Minority Architects Students (NOMAS) Chapter. Zena Howard sees the built environment as an…

From  Kathryn Gentilello A month ago 4 views 0  

Galyna Livshyts - A Tight Net with Respect to a Random Matrix Norm and Applications to Estimating Singular Values

In this talk we construct a net around the unit sphere with good properties. We show that with exponentially high probability, the value of |Ax| on the sphere can be approximated well using this net,…

From  Kathryn Gentilello 2 Months ago 6 views 0  

Tuo Zhao - Towards Understanding First Order Algorithms for Nonconvex Optimization in Machine Learning

Stochastic Gradient Descent-type (SGD) algorithms have been widely applied to many non-convex optimization problems in machine learning, e.g., training deep neural networks, variational Bayesian…

From  Kathryn Gentilello 2 Months ago 7 views 0  

Éva Tardos - Learning and Efficiency of Outcomes in Games

Selfish behavior can often lead to suboptimal outcome for all participants, a phenomenon illustrated by many classical examples in game theory. Over the last decade we have studied Nash equilibria…

From  Kathryn Gentilello 2 Months ago 11 views 0  

Ethics & Values for Reflective Urban Automation

Urban automation’s potential to create disruptive technologies that change cities’ future development is already in evidence, but there is much more to come.Urban automation refers to…

From  Kathryn Gentilello 2 Months ago 10 views 0  

Dana Buntrock - What Could Go Wrong?

Her lecture, titled, "What Could Go Wrong?" asks, "What’s architecture?" Who we are and what we do gets reinvented in response to economic or legal change. In the 1960s and…

From  Kathryn Gentilello 2 Months ago 23 views 0  

GTPE Insights into Adult Learners

Providing a meaningful service to our learners requires understanding their needs and learning behaviors. Several research projects, in collaboration with C21U, are underway to enable us to draw deep…

From  Kelsey Harris 4 Months ago 12 views 0  

Elias Zerhouni - From Academia to Government to Industry: Lessons Learned

Elias Zerhouni, M.D., is the President, Global Research & Development, and a member of the Executive Committee for Sanofi. Dr. Zerhouni’s academic career was spent at the renowned Johns…

From  Kathryn Gentilello 5 Months ago 6 views 0