Spring 2021
Spring21
Data Science and the Valley of Death! How the National Labs Help You Bridge the Gap
Wayne MillerDeputy Director, Lawrence Livermore National Laboratory04/12/2021
Tensor Methods for Deep Learning with TensorLy and PyTorch
Jean KossaifiSenior Research Scientist, NVIDIA04/05/2021
AI for Food Security
Sebastian AhnertSenior Research Fellow and Lecturer, The Alan Turing Institute and University of Cambridge03/22/2021
So You Built an AI Model, Now What?
Brian MartinResearch Fellow, Head of AI, R&D IR, AbbVie03/08/2021
Data Science and Historical Texts: Modeling Meaning Change from Ancient Greek to Web Archives
Barbara McGillivrayResearch Fellow, The Alan Turing Institute/Cambridge University02/22/2021Fall 2020
Fall20
Data Heterogeneity and Disease Surveillance: Impacts on Precision and Accuracy
Rebecca SmithAssistant Professor, University of Illinois at Urbana-Champaign11/16/2020
Chemical Imaging for an Expanded View of the Pathologic Basis of Disease: A Challenge for AI
Rohit BhargavaProfessor, University of Illinois at Urbana-Champaign11/09/2020
Demystifying Hardware Acceleration for Machine Learning
Matthew KrafczykResearch Programmer, National Center for Supercomputing Applications11/02/2020
Topological Obstructions to Autoencoders
Yoni KahnAssistant Professor, University of Illinois at Urbana-Champaign10/26/2020
The Geometry of Data: An Interpretation of the Challenges of Training Models at Scale
Aaron SaxtonData Engineer, National Center for Supercomputing Applications10/19/2020
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
Wonmin ByeonResearcher, NVIDIA10/12/2020
Machine Learning for Quantum Computing and Quantum Matter
Bryan ClarkAssistant Professor, University of Illinois at Urbana-Champaign10/05/2020
Design and Control of Soft Musculoskeletal Architectures
Mattia GazzolaAssistant Professor, University of Illinois at Urbana-Champaign09/21/2020