Search for tag: "distributed computing architecture"

James Park - Shape Machine and Parametrics

11:15 - 11:30 AM - Shape Machine and Parametrics James Park, BSArch, MArch PhD Student and Research Assistant Shape Computation Lab Georgia Institute of Technology

From  Kathryn Gentilello A month ago 5 views 0  

Tzu-Chieh Kurt Hong - Shape Machine and Interpreters

11:00- 11:15AM - Shape Machine and Interpreters Tzu-Chieh Kurt Hong, BE, ME PhD Student and Research Assistant Shape Computation Lab Georgia Institute of Technology

From  Kathryn Gentilello A month ago 4 views 0  

Cvetelina Hill - Shape Machine and Shape Signature

10:45 - 11:00 AM - Shape Machine and Shape Signature Cvetelina Hill, MS Math PhD Student School of Mathematics Georgia Institute of Technology

From  Kathryn Gentilello A month ago 8 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 3 Months ago 8 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 3 Months 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 4 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 4 Months ago 17 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 4 Months ago 20 views 0  

Extended Reality (XR) for Teaching and Learning - Blair MacIntyre, David Joyner, Didier Contis, Miroslav Malesevic, Noah Posner, Matthew Swarts

Extended reality (XR) refers to real-and-virtual combined environment, including virtual reality (VR), augmented reality (AR), and mixed reality (MR). This talk explores the potential uses for…

From  Kathryn Gentilello 4 Months ago 20 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 4 Months ago 29 views 0