DAF-MIT AI Accelerator research projects featured at IEEE HPEC conference Published Sept. 13, 2023 DAF-MIT AI Accelerator CAMBRIDGE, Mass. -- The IEEE High Performance Extreme Computing (HPEC) free virtual conference (Sep 25-29) will feature many Department of the Air Force-MIT AI Accelerator research projects in a 125 presentation agenda with over 30 talks on artificial intelligence. You can register now to see AI Accelerators project presentations at IEEE-HPEC.org. DAF HPEC Highlights include: • Keynote Talk: Eileen Vidrine (Air Force Chief Data & AI Officer) • Invited Talk: Lt. Col. Dr. Sean Atkins (USAF) – Integration of Effort in National Cyber Defense AIA Sponsored Research Project: Fast AI (PI: Prof. Leiserson) • Special Session – Large Language Models • An Analysis of Energy Requirements for Computer Vision Algorithms [Outstanding Student Paper Award] • From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference • Optimizing Compression Schemes for Parallel Sparse Tensor Algebra AIA Sponsored Research Project: Better Networks (PI: Prof. Pentland) • Special Session – BRAINS: Boosting Resilience through Artificial Intelligence for Networked Systems • Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays [Outstanding Paper Award] • Hypersparse Traffic Matrix Construction using GraphBLAS on a DPU [Outstanding Short Paper Award] • Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hyperspace Matrices • Mapping of Internet “Coastlines” via Large Scale Anonymized Network Source Correlations AIA Sponsored Research Project: Magnetic Navigation (PI: Prof. Edelman) • Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity [Outstanding Student Paper Award] AIA Sponsored Research Project: Objective Performance Prediction (PI: Prof. Heldt) • Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series AIA Sponsored Research Project: AI Education (PI: Prof. Breazeal) • Special Session – Scaling HPC Education AIA Sponsored Research Projects: Earth Intelligence Engine (PI: Prof. Newman) & Few-Shot and Continual Learning (PI: Prof. Soljacic) • Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation • Robust Fine-Tuning of Vision-Language Models for Domain Generalization • Contextualizing Enhances Gradient Based Meta Learning for Few Shot Image Classification AIA Phantoms • Lt. Taylor Hilliard, Capt. Rebekah Magness, Captain, Maj. Jordan Tribble, Major (USAF) – Human Capital Risk Frameworks • Braden Eichmeier (USAF) – Big Data Opportunities in Production Records at Air Force Maintenance Depots