Search for tag: "neural engineering center"

Ola Svensson - Lecture 2: Different approaches for asymmetric TSP

The traveling salesman problem is one of the most fundamental optimization problems. Given n cities and pairwise distances, it is the problem of finding a tour of minimum distance that visits each…

From  Kathryn Gentilello 2 Weeks ago 3 views 0  

Ola Svensson - Lecture 3: A constant-factor approximation algorithm for asymmetric TSP

The traveling salesman problem is one of the most fundamental optimization problems. Given n cities and pairwise distances, it is the problem of finding a tour of minimum distance that visits each…

From  Kathryn Gentilello 2 Weeks ago 4 views 0  

Rachel Patzer - Epidemiology & Population Health

This talk will discuss the principles of epidemiologic thinking and a foundation for population health sciences. Basic epidemiologic concepts including how best to answer a scientific question,…

From  Kathryn Gentilello 2 Weeks ago 1 views 0  

Oded Green - Scalable Graph Analytics on GPU Accelerators

Sparse data computations are ubiquitous in science and engineering. Two widely used applications requiring sparse data computations are graph algorithms and linear algebra operations such as Sparse…

From  Kathryn Gentilello 3 Weeks ago 3 views 0  

James L. McClelland - Integrating New Knowledge into a Neural Network without Catastrophic Interference: Computational and Theoretical Investigations in a Hierarchically Structured Environment

According to complementary learning systems theory, integrating new memories into a multi-layer neural network without interfering with what is already known depends on interleaving presentation of…

From  Kathryn Gentilello 3 Weeks ago 6 views 0  

Ashok Goel, Rob Kadel, Lauren Margulieux, Brittany Aiello - Blended Learning in Practice: A Guide for Practitioners and Researchers

A Guide for Practitioners and Researchers (MIT Press) A guide to both theory and practice of blended learning offering rigorous research, case studies, and methods for the assessment of educational…

From  Kathryn Gentilello A month ago 11 views 0  

2019 SBDH All Hands Meeting - Panel 3: Industry Panel

Beverly Wright, PhD. Chief Analytics Officer, RelationalAI. Venkat Kambalapally. Staff Vice President, Technology, Anthem, Inc. Robert Joseph, PhD. Director of Industrial Strategy, Stanley Black…

From  Kathryn Gentilello A month ago 2 views 0  

2019 SBDH All Hands Meeting - Cyber-Infrastructure and Social-Cybersecurity Working Groups

Cyber-Infrastructure Working Group: Niall Gaffney, PhD. Director of Data Intensive Computing, Office of Advanced Cyberinfrastructure / CISE. Texas Advanced Computing Center. Social-Cybersecurity…

From  Kathryn Gentilello A month ago 3 views 0  

2019 SBDH All Hands Meeting - Panel 2: Visionary Projects

Gari Clifford, PhD. Spoke PI, Large Scale Medical Informatics for Patient Care Coordination and Engagement. Emory University. Santiago Grijalva, PhD. Spoke Co-PI, Smart Grids Big Data. Georgia Tech.…

From  Kathryn Gentilello A month ago 3 views 0  

2019 SBDH All Hands Meeting - Panel 1: South Hub Priority Areas

Jay Aikat, PhD. Co-PI, South Big Data Regional Innovation Hub – University of North Carolina-Chapel Hill. David McDowell, PhD. Priority Area Representative Georgia Tech. Heather Bradley, PhD.…

From  Kathryn Gentilello A month ago 2 views 0  

Chaouki T. Abdallah, Srinivas Aluru, Stan Ahalt, Renata Rawlings-Goss - Welcome Remarks and South Hub Impacts and Opportunities

The SBDH All Hands meetings are organized to bring together the SBDH community in order to foster new and support existing data science collaborations, share best practices and resources for data and…

From  Kathryn Gentilello A month ago 4 views 0  

Na Ji - Imaging the brain at high spatiotemporal resolution

Physics has long employed optical methods to probe and manipulate matter on scales from the infinitesimal to the immense. To understand the brain, we need to monitor physiological processes of single…

From  Kathryn Gentilello A month 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 A month ago 13 views 0  

David Addiss, Hope Bussenius, Rihana Nesrudin, Michael Elliott - Community Health: Widen the Lens

The Liam's Legacy Symposium honors the memory of Liam Rattray, an outstanding and socially-committed Georgia Tech Honors Program student who was tragically killed by a drunk driver just a few…

From  Kathryn Gentilello A month ago 4 views 0