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Dr. Williams Presented at AFRL NEM Technical Interchange Meeting on Using Machine Learning for Nuclear Test Detection

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January 28th – 30th, 2020, Dr. Jesse Williams, Engineering Manager at GTC, presented at Air Force Research Lab (AFRL) Nuclear Explosion Monitoring Technical Interchange Meetings on using machine learning to process seismic signals to classify different types of seismic events. Results show greater than 93% accuracy is event classification using deep neural networks. The solution … Read more

GTC Receives NASA Award on Resource Management Strategies for a Resilient Habitat Advanced Life Support (ALS) System

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August 2019, GTC has received a NASA I award titled “Resource Management Strategies for a Resilient Habitat Advanced Life Support (ALS) System.” GTC continues its development in resiliency for life support systems of long-term space habitats. In this program, machine learning algorithms are adapted to determine interactions between systems and subsystems, especially during anomalies, to … Read more

GTC Receives Air Force Award for Nuclear Explosion Monitoring by Using Machine Learning to Process Seismic Signals

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July 2019, GTC has received a US Air Force award titled “Machine Learning Methods to Catalog Sources from Diverse, Widely Distributed Sensors.” GTC will adapt its deep learning classification engine to develop an automated deep learning tool that can analyze seismic signal streams from around the globe to detect, locate and classify different seismic events … Read more

GTC Receives Army Award to Develop a Fabrication Technique for Highly Aligned & Dense Short Fiber Reinforced Composites

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November 2019, GTC has received a US Army award titled “Uniform Dispersion and Alignment of Short Fiber Composite Reinforcement.” This project refines a novel technique for the fabrication of short fiber composites with high fiber volume ratios. The challenge is to uniformly disperse and align these fibers to allow for superior strength similar to long/continuous … Read more