OCTOBER 18-20, 2021
WASHINGTON, DC

AI TechConnect
 

AI for Advanced Manufacturing

Robotics

Call for Abstract - due September 13 »

Symposium Co-Chairs

Keith BrownKeith Brown
Assistant Professor
Boston University

Grace GuGrace Gu
Assistant Professor, University of California, Berkeley

Key Speakers

Ying LiuManufacturing Informatics: Embracing Machine Learning for Smart Manufacturing
Ying Liu
Reader in Intelligent Manufacturing, Fellow, Data Innovation Research Institute, Cardiff University, United Kingdom

Grace GuAI-enabled additive manufacturing platform for extreme environments
Grace Gu
Assistant Professor, University of California, Berkeley

Scott BroderickMaterials Informatics for Simultaneous Design of Alloy Chemistry and AM Process
Scott Broderick
Assistant Professor, University of Buffalo

Artificial intelligence and machine learning are already making an impact in the manufacturing sector. With AI products can be better designed, and designed to be more effectively manufactured. Processes can be continually monitored and optimized to cut down unplanned downtime. Enhanced data collection and AI-powered analytics can significantly increase efficiency, product quality and the employee safety.

Join us for this exciting symposium featuring the latest innovations and future directions for AI in advanced manufacturing.

 
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2021 Symposium Sessions

Monday October 18

1:30AI for Characterization & Manufacturing

Wednesday October 20

8:30AI Track Keynote
10:30AI for Advanced Materials Discovery & Design

2021 Symposium Program

Monday October 18

1:30AI for Characterization & ManufacturingBaltimore 1
Session chair: Greg Haugstad, University of Minnesota & Grace Gu, University of California, Berkeley
Materials Informatics for Simultaneous Design of Alloy Chemistry and AM Process
S. Broderick, University of Buffalo, US
Machine Learning for In-Water Inspection of Submarine Hull Coatings
M. An, J. Cipolla, A. Shakalis, B. Hiriyur, R. Tolimieri, Prometheus Inc., US
Gamma-Ray Raster Imaging with Robotic Data Collection
W. Wells, T. Aucott, M. Siddiqi, Savannah River National Laboratory, US
A New Method for Atmospheric Correction of Satellite Data
D. Groeneveld, Advanced Remote Sensing, Inc., US
Real-Time Porosity Prediction for Metal Additive Manufacturing using Convolutional Neural Networks
W. Young, S. Ho, S. Al Jufout, M. Mozumdar, M. Buchholz, W. Zhang, K. Dajani, California State University, Long Beach, US
Forecasting and Decision Impact Analysis from Ripple Effects of Behaviors
B. Frutchey, BigBear.ai, US

Wednesday October 20

8:30AI Track KeynoteWoodrow Wilson D
Session chair: Richard Ross, 3M Company & Peter Koenig, Procter & Gamble
Detecting Malaria Parasites with Machine Learning
S. Jaeger, U.S. National Library of Medicine / NIH, US
Manufacturing Informatics: Embracing Machine Learning for Smart Manufacturing
Y. Liu, Cardiff University, UK
From atoms to emergent mechanisms with information bottleneck and diffusion probabilistic models
P. Tiwary, University of Maryland, US
10:30AI for Advanced Materials Discovery & DesignAnnapolis 2
Session chair: Richard Ross, 3M Company & Peter Koenig, Procter & Gamble
The combination of data-driven and physics-based modeling with application in protein formulations
J.G.E.M. Fraaije, P. Petris, Siemens Culgi, NL
Closed-loop autonomous combinatorial experimentation for streamlined materials discovery
I. Takeuchi, University of Maryland, US
Next Generation PCIe Network Fabric for Simulators and Performance Computing
C.T. Reynolds, Technical Systems Integrators, US
AI-accelerated materials innovation: From Optoelectronics to Fluorescent Biomarkers
C. Kreisbeck, Kebotix, US
Machine Learning for the Exploration of Nanomaterial Synthesis Parameter Spaces
R. Sappington, B. Cornick, Epic Advanced Materials, US
A Self-Driving Laboratory for Accelerated Materials Discovery
C.P. Berlinguette, J.E. Hein, A. Aspuru-Guzik, B.P. MacLeod, F.G.L. Parlane, University of British Columbia, CA

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2021 Sponsors & Partners
 

2020 SBIR/STTR AGENCY PARTNERS

SBIR/STTR Agency Partners