Search for tag: "rockefeller center"

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 4 Days ago 11 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 2 Weeks ago 1 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  

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 3 Weeks ago 4 views 0  

Khari Diop, Sagdrina Jalal, Charles Moore, Skylar VanderLaan - Community Health: Focus on Georgia

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 3 Weeks ago 7 views 0  

Carlos Brody - Neural Circuit Mechanisms Underlying Cognition in Rats

I will describe studies of the neural bases of cognitive processes. Rodents, mostly rats, are trained to perform behaviors that lend themselves to quantitative modeling that can help identify and…

From  Kathryn Gentilello A month ago 8 views 0  

Thomas C. Reeves - How Educational Design Research Can Help Win the Race Between Human Learning and Machine Learning

Over the past 25 years, major advances have been made in the development of machine learning, also referred to as "deep learning," a branch of artificial intelligence (AI) whereby computers…

From  Kathryn Gentilello A month ago 5 views 0  

Jack Suess - Using IMS Standards to Advance Next-Generation Digital Learning Environments (NGDLE)

The NGDLE is a vision for a learning ecosystem not a detailed technical specification. As such, the NGDLE will evolve over time as technology matures and the research in teaching & learning…

From  Kathryn Gentilello A month ago 7 views 0  

John Serences - Simultaneous Representation of Sensory and Mnemonic Information in Human Visual Cortex

Navigating through complex environments requires keeping relevant information in mind, or in working memory, while simultaneously processing new sensory inputs. For example, when frantically looking…

From  Kathryn Gentilello A month ago 10 views 0  

Bill Campbell - Astral Traveling: Exploring Afro Past, Present, and Futures

The School of Literature, Media, and Communication and the Georgia Tech Library will host science fiction author and publisher Bill Campbell at Georgia Tech on Tuesday, February 12, 2019. Bill…

From  Kathryn Gentilello 2 Months ago 19 views 0  

Mark Goldman - Microcircuits for Short-term Memory Storage, Motor Control, and Neural Integration

A major goal in neuroscience is to determine the neural circuit dynamics and plasticity underlying behavior. In the first half of the talk, I will discuss our efforts to dissect the cellular and…

From  Kathryn Gentilello 2 Months ago 8 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