Spring 2022
Exploiting parallelism IN LARGE SCALE DEEP LEARNING MODEL TRAINING: FROM CHIPS TO SYSTEMS TO ALGORITHMS
Saurabh Kulkarni
VP and GM, Graphcore (North America)
Presented on: 04/04/2022
GRAPH ENGINE TO TACKLE THE TOUGHEST GRAPH ANALYTICS CHALLENGES
Janice McMahon
Lucata
Presented on: 04/18/2022
The Cerebras Wafer-Scale Engine (WSE-2) – A new architecture for ML and HPC Workloads
Cindy Orozco Bohorquez & Adam Lavely
Product team Technical Staff, Cerebras
Presented on: 05/02/2022
Fall 2021
Fall21
Evolution of Memory: From Basic Foraging Decisions to Cognitive Map Construction
Ekaterina GribkovaPostdoctoral Research Associate, Coordinated Science Laboratory, University of Illinois Urbana-Champaign11/15/2021
The Principles of Deep Learning Theory
Dan RobertsResearch Affiliate, Center for Theoretical Physics, Massachusetts Institute of Technology11/08/2021
Machine learning and Inverse Problems in Scientific Imaging
Zhizhen ZhaoAssistant Professor, Electrical and Computer Engineering, University of Illinois Urbana-Champaign11/01/2021
Secure Learning in Adversarial Environment
Bo LiAssistant Professor, Computer Science, University of Illinois Urbana-Champaign10/18/2021
Survival Analysis Based on Survey and Test Data on the UIUC Campus
Weihao GeResearch Scientist, National Center for Supercomputing Applications, University of Illinois Urbana-Champaign10/11/2021
Looking behind-the-Seen in Order to Anticipate
Alexander SchwingAssistant Professor, Electrical and Computer Engineering, University of Illinois Urbana-Champaign10/04/2021
Domain-guided Machine Learning for Health Analytics
Yogatheesan VaratharajahAssistant Research Professor, Bioengineering, University of Illinois Urbana-Champaign09/27/2021
Practical Predictions: Models for Operational Impact
Rebecca SmithAssociate Professor, Veterinary Medicine, University of Illinois Urbana-Champaign09/20/2021Spring 2021
Spring21
A Startup Foundry Approach to Increasing Research Impact
Sanjay PatelActing Co-Director IBM-Illinois Center for Cognitive Computing Systems Research, Professor of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign05/03/2021
Dataflow Optimized Systems for AI
Kunle OlukotunCadence Design Professor of Electrical Engineering and Computer Science, Stanford University04/26/2021
NCSA Industry Overview with Computational Breakthroughs and Synergies with Artificial Intelligence
Brendan McGinty and Seid KorićDirector of Industry, NCSA and Technical Director, NCSA04/19/2021
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