8:15 - 8:30 am Welcome Address
8:30 - 2:30 pm Information & Agenda
2:30 - 2:45 pm Closing Messages
Pieter Abbeel
Professor and Director
UC Berkeley Robot Learning Lab, President and Chief Scientist at Covariant AI
Towards a General Solution for Robotics
Moderator
Brenda Ng, ML Group Lead, Lawrence Livermore National Laboratory
15 Minute Break
Moderator
Youngsoo Choi, Lawrence Livermore National Laboratory
9:30-10:00am
Integrating Machine Learning Insights Into Work
Brian Silva & Scott Johnson
Uptake Technologies Inc.
10:00-10:30am
A missing link in the ML infrastructure stack
Josh Tobin
Gantry
10:30-11:00am
Merlin: Machine Learning Workflow for HPC
Joseph Koning
Lawrence Livermore National Laboratory
9:30-10:00am
HPC/AI for Industry Market Overview
Addison Snell
Intersect360 Research
10:00-10:30am
Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures
Rangan Sukumar
Hewlett Packard Enterprise
10:30-11:00am
Addressing the Energy Efficiency Problem in AI
Naresh Shanbhag
University of Illinois at Urbana-Champaign
Moderator
Jim Gansemer, Lawrence Livermore National Laboratory
9:30-10:00am
Using pre-clinical pharmaceutical data in drug discovery
Jonathan Allen
Lawrence Livermore National Laboratory
10:00-10:30am
Utilizing Disparate, Diverse Datasets Via Federated Learning
Yuval Baror
Rhino Health
10:30-11:00am
Fraud and Adversarial Machine Learning
Medina Williams
Purdue University
15 Minute Break
Moderator
Barry Chen, Lawrence Livermore National Laboratory
11:15-11:45am
Scalable neural architecture search for surrogate modeling and uncertainty quantification using DeepHyper
Romit Maulik
Argonne National Laboratory
11:45-12:15pm
From HPC to the edge to enable accelerated and reproducible AI discovery
Eliu Huerta
Argonne National Laboratory
12:15-12:45am
Adversarial Machine Learning and Attack Against Deep Neural Networks
Bowei Xi
Purdue University
Moderator
Bronis de Supinski, Lawrence Livermore National Laboratory
11:15-11:45am
Platforms, Tools and Usecases for Industrial Digital Twins
Piyush Modi
NVIDIA
11:45-12:15pm
Admiral - Connecting RL libraries with HPC simulations
Edward Rusu
Lawrence Livermore National Laboratory
12:15-12:45pm
Enabling non-Experts with Google ML Hardware and Services
Kevin Kissell
Moderator
Rushil Anirudh, Lawrence Livermore National Laboratory
11:15-11:45am
The DOE SMART Initiative
Joe Morris
Lawrence Livermore National Laboratory
11:45-12:15pm
Autonomous Multimodal Manufacturing Optimization via Digital Twins
Brian Au
Lawrence Livermore National Laboratory
12:15-12:45pm
DOE Data Explorer – Enabling Discovery of DOE-funded Data
Sara Studwell
U. S. Department of Energy
15 Minute Break
Moderator
Aaron Fisher, Lawrence Livermore National Laboratory
1:00-1:30pm
Methods of Communication Reduction in Parallel Solution of Partial Differential Equations
Laurent White
Advanced Micro Devices
1:30-2:00pm
Coherent Knowledge Solutions From Prehistory to Future
Claus-Peter Rückemann
WWU Münster
2:00-2:30pm
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes
Swati Gupta
Georgia Institute of Technology
1:00-1:30pm
The Convergence of HPC and AI Accelerators
Jennifer Glore & Qi Zheng & Arnav Goel
SambaNova Systems
1:30-2:00pm
A Scalable Deep Learning Toolkit for Large Scale Scientific Machine Learning
Brian Van Essen
Lawrence Livermore National Laboratory
2:00-2:30pm
Using the Wafer-Scale Engine for AI and HPC workloads
Natalia Vasileva & Joel Hestness & Andy Hock
Cerebras Systems
Moderator
Philip Cameron-Smith, Lawrence Livermore National Laboratory
1:00-1:30am
Cognitive Simulation: combining simulation and experiment with artificial intelligence
Brian Spears
Lawrence Livermore National Laboratory
1:30-2:00pm
Universal method for part comparison based on requirements specification
Brian Giera & Kyle Devlugt
Lawrence Livermore National Laboratory
Closing Messages