2021 Ken Kennedy AI and Data Science Conference has ended

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2021 Ken Kennedy AI and Data Science Conference

8:00am CDT

Opening: Pre-Recorded Poster Presentations Opening: Pre-Recorded Sponsor Presentations

8:00am CDT

Welcome Opening: Pre-Recorded Poster Presentations Opening: Pre-Recorded Sponsor Presentations

10:00am CDT

Opening: Intro to Morning

10:05am CDT

Integrated Data - Driving the Future of NASA Missions and Technology

10:45am CDT

How to Teach AI Multiple Languages?

11:25am CDT

Break

11:40am CDT

Scalable Deep Learning for Large Scale Scientific Machine Learning: Challenges and Opportunities

12:20pm CDT

Lunch + Virtual Booths

1:20pm CDT

Welcome: Intro to Afternoon

1:25pm CDT

How Do We Know if Data Science is "For Good"?

2:20pm CDT

What Do We Mean by “AI Ethics”?: Conceptual Tools and Examples for a Common Future

3:00pm CDT

Break

3:15pm CDT

Discovery and Action Through Geospatial Visualization and Urban Analytics

3:55pm CDT

Closing Remarks

10:00am CDT

Emu: Species-Level Microbial Community Profiling for Full-Length Nanopore 16S Reads

10:15am CDT

Co-Manifold Learning

10:30am CDT

Random-Walk Based Graph Representation Learning Revisited

10:45am CDT

Break

11:00am CDT

Multi-Task Deep Learning Framework for Sales Forecasting and Product Recommendation

11:15am CDT

Using Visual Feature Space as a Pivot Across Languages

11:30am CDT

Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints

11:45am CDT

Multi-Task Learning for Demand Prediction Through a Hyper-Network

12:00pm CDT

Lunch + Networking ML for Energy Transition

1:00pm CDT

ShiftAddNet: A Hardware-Inspired Deep Network

1:15pm CDT

Neural Architecture Search for Inversion

1:30pm CDT

Generalized Zero-Shot Learning via Normalizing Flows

1:45pm CDT

Break

2:00pm CDT

Explainable Deep Learning Approaches to Predict Development of Brain Metastases in Patients with Lung Cancer Using Electronic Health Records

2:15pm CDT

Deep Learning-Based Blood Glucose Predictors In Type 1 Diabetes

2:30pm CDT

MLPrE – A Tool for Preprocessing Data and Conducting Exploratory Data Analysis Prior to Machine Learning Model Construction

2:45pm CDT

Diabetes Management in Underserved Communities: Data-Driven Insights from Continuous Glucose Monitoring

3:00pm CDT

Closing Remarks

4:30pm CDT

Outdoor Networking Reception with Sponsors Holman Draft Hall

9:00am CDT

Conference Registration, Breakfast, Networking

10:00am CDT

Welcome Auditorium

10:05am CDT

Automatic Machine Learning with AutoGluon - Algorithms, Domains, Applications - Auditorium Auditorium

10:50am CDT

Scalable and Sustainable AI Acceleration for Everyone: Hashing Algorithms Train Billion-parameter AI Models on a Commodity CPU faster than Hardware Accelerators - Auditorium Auditorium

11:35am CDT

Lunch + Networking

12:30pm CDT

Democratizing Deep Learning with Commodity Hardware: How to Train Large Deep Learning Models on CPU Efficiently with Sparsity - Auditorium Auditorium How to Deal with Volume and Velocity Associated with Hundreds of Terabytes (and Beyond) of Genomics Data? - Room 280 Room 280

2:30pm CDT

Afternoon Break and Networking

3:00pm CDT

SeqScreen: Accurate and Sensitive Functional Screening of Pathogenic Sequences via Ensemble Learning - Auditorium Auditorium

3:15pm CDT

Parallel RRT Algorithm for Robotic Motion Planning Auditorium

3:30pm CDT

MaGNET: Uniform Sampling from Deep Generative Network Manifolds without Retraining - Auditorium Auditorium

3:45pm CDT

Magnified Convolutional Enrichment Representation Model - Auditorium Auditorium

4:00pm CDT

PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication - Auditorium Auditorium

4:15pm CDT

Quantification of Myxococcus Xanthus Aggregation and Rippling Behaviors: Deep-Learning Transformation of Phase-Contrast into Fluorescence Microscopy Images - Auditorium Auditorium

4:30pm CDT

Posters and Networking - Exhibit Hall

10:00am CST

Data4Good & Responsible AI-Automated Data Collection: How Do You Ensure Data4good?