Contact Information potokte@ornl.gov 865.574.0834 orcid.org/0000-0001-6687-3435 Related Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Computer Science and Mathematics Division Computational Data Analytics Group Thomas E Potok Group Leader All Publications Island Model for Parallel Evolutionary Optimization of Spiking Neuromorphic Computing Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data Efficiently Embedding Qubo Problems on Adiabatic Quantum Computers A Classical-quantum Hybrid Approach for Unsupervised Probabilistic Machine Learning 167-pflops Deep Learning for Electron Microscopy: From Learning Physics to Atomic Manipulation A Study of Complex Deep Learning Networks on High-performance, Neuromorphic, And Quantum Computers Adiabatic Quantum Computation Applied to Deep Learning Networks Neuromorphic Computing for Temporal Scientific Data Classification Evolving Deep Networks Using Hpc Audience Based View of Publication Impact A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, And Quantum Computers A Bridge for Accelerating Materials by Design Extreme Scale Visual Analytics Multi-year Content Analysis of User Facility Related Publications Discovery & Refinement of Scientific Information Via a Recommender System Interactive Visual Analysis of High Throughput Text Streams Identification of User Facility Related Publications A Text Analysis Approach to Motivate Knowledge Sharing Via Microsoft Sharepoint Discovery & Refinement of Scientific Information via a Recommender System Guided Text Analysis Using Adaptive Visual Analytics A Computational Framework for Search, Discovery, And Trending of Patient Health In Radiology Reports Hierarchical Clustering and Visualization of Aggregate Cyber Data Cultural Intelligence Assistance for Cross-culture Understanding and Action Recommendation Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last »
