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Using Wearable Technology to Prevent Kidney Stones

WNCG professor Edison Thomaz is part of a team exploring the use of wearable technology to prevent kidney stones.

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Recent News

A Conversation with Diligent Robotics Co-Founder Andrea Thomaz

Atlas Wang Receives Adobe Data Science Research Award

Todd Humphreys and Peter Iannucci Research to Improve Navigation using SpaceX Satellites

Aryan Mokhtari Receives NSF Grant to Research Optimization Algorithms for Large-Scale Learning

Al Bovik Wins Career Research Excellence Award

José del R. Millán Elected Fellow of the International Academy of Medical and Biological Engineering

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ML Seminar: The Role of Regularization in Overparameterized Neural Networks
Wireless ML Seminar - Learning to Learn to Communicate
ML Seminar Series - On Heterogeneity in Federated Settings
ML Seminar - On Heterogeneity in Federated Settings
ML Seminars - On the convergence of gradient descent for wide two-layer neural networks
ML Seminar: On the convergence of gradient descent for wide two-layer neural networks
ML Seminar Series - Two Facets of Learning Robust Models
ML Seminar - Two Facets of Learning Robust Models (Hamed Hassani)
ML Seminar Series - Robust Distributed Training! But at What Cost?
ML Seminar - Robust Distributed Training! But at What Cost?
ML Seminar Series - Modeling Uncertainty in Learning with Little Data
ML Seminar - Modeling Uncertainty in Learning with Little Data
David Sontag: How Hard is Inference for Structured Prediction
WNCG Seminar Series: David Sontag: How Hard is Inference for Structured Prediction