Evidence-Based Foundations for Software Engineering Practice in Scientific Computing
Abstract not provided.
Publications
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Jump to search filtersTowards a Culture of Continuous Learning and Improvement within RSE Teams
Abstract not provided.
Towards a Culture of Continuous Improvement within RSE Teams
Abstract not provided.
Determining the Optimal Time on X-ray Analysis for Transportation Security Officers
Abstract not provided.
Data privacy and security considerations for personal assistants for learning (PAL)
Abstract not provided.
Measuring Human Performance within Computer Security Incident Response Teams
Abstract not provided.
Determining the optimal time on x-ray analysis for Transportation Security Officers
Abstract not provided.
Simulating Behavioral Responses in International Security Settings
Abstract not provided.
How to model the whole brain?
Abstract not provided.
Neurons to algorithms LDRD final report
Over the last three years the Neurons to Algorithms (N2A) LDRD project teams has built infrastructure to discover computational structures in the brain. This consists of a modeling language, a tool that enables model development and simulation in that language, and initial connections with the Neuroinformatics community, a group working toward similar goals. The approach of N2A is to express large complex systems like the brain as populations of a discrete part types that have specific structural relationships with each other, along with internal and structural dynamics. Such an evolving mathematical system may be able to capture the essence of neural processing, and ultimately of thought itself. This final report is a cover for the actual products of the project: the N2A Language Specification, the N2A Application, and a journal paper summarizing our methods.
Project Grandmaster Final Report
Abstract not provided.
An Image/Text Fusion Algorithm for Intelligent Web Crawling
Abstract not provided.
Neurons to Algorithms (N2A)
Abstract not provided.
Neurons to Algorithms neural circuit model development platform
Abstract not provided.
Human Factors in the Design of a Search Tool for a Database of Recorded Human Behavior
Abstract not provided.
Connecting cognitive and neural models
Frontiers in Artificial Intelligence and Applications
A key challenge in developing complete human equivalence is how to ground a synoptic theory of cognition in neural reality. Both cognitive architectures and neural models provide insight into how biological brains work, but from opposite directions. Here the authors report on initial work aimed at interpreting connectomic data in terms of algorithms. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. © 2011 The authors and IOS Press. All rights reserved.
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