skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Artificial Intelligence 3D Architecture & "Superstrider".


Abstract not provided.

; ;  [1]
  1. (Ga Tech)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the INC 2017 Workshop held May 9-11, 2017 in Indianapolis, IN.
Country of Publication:
United States

Citation Formats

Debenedictis, Erik, Cook, Jeanine, and Srikanth, Sriseshan. Artificial Intelligence 3D Architecture & "Superstrider".. United States: N. p., 2017. Web.
Debenedictis, Erik, Cook, Jeanine, & Srikanth, Sriseshan. Artificial Intelligence 3D Architecture & "Superstrider".. United States.
Debenedictis, Erik, Cook, Jeanine, and Srikanth, Sriseshan. Mon . "Artificial Intelligence 3D Architecture & "Superstrider".". United States. doi:.
title = {Artificial Intelligence 3D Architecture & "Superstrider".},
author = {Debenedictis, Erik and Cook, Jeanine and Srikanth, Sriseshan},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon May 01 00:00:00 EDT 2017},
month = {Mon May 01 00:00:00 EDT 2017}

Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • This paper reports on nuclear power plants designed, equipped, and operated within safety envelopes. Unanticipated failures, operator's malfunctions, and external events cause emergency conditions. Despite the fact that in the Three Mile Island and Chernobyl events the systems failed, there have been multitudes of other situations where systems succeeded. The use of artificial intelligence and expert systems techniques provide useful tools to meet those challenges. The application includes three phases: diagnostics, critical functions restoration, and optimum recovery. The use of expert systems techniques to enhance the operator functions in the emergency conditions are outlined.
  • This report contain papers from the Thirteenth National Conference on Artificial Intelligence and the Eighth Conference on Innovative Applications of Artificial Intelligence collected in two volumes. General areas of research for these papers are: interaction; internet agents; multiagent learning; multiagent problem solving; negotiation and coalition; AI in art and entertainment; constraint satisfaction; data consistency; game-tree search; phase transition; search control; search and learning; stochastic search; temporal reasoning; education; information retrieval and natural language processing; knowledge-based systems; knowledge compilation; knowledge representation; belief and belief revision; description logics and probabilities reasoning; knowledge-base and context; nonmonotonic reasoning; reasoning about action; learning; mobile robots;more » model-based reasoning; natural language; preception; planning; rule-based reasoning and connectionism; uncertainty; robot competition; student abstracts; and case studies.« less
  • During the last six months, the results of studies on existing parallel computing architectures for AI and NI were applied to develop the Programmable OptoElectronic Multiprocessor (POEM) architecture. The goal was to design a scalable architecture suitable for AI and ultimately for NI that will take full advantage of the hybrid nature of opto-electronic technologies. In the POEM system this is achieved by implementing all communication using phontonics and all logic in their local interconnections using electronics.
  • Petroleum professionals, that is engineers and geoscientist, routinely make recommendations to drill wells. This process requires the generation of a production profile, oil producing rate versus time, which is a key component in the final economic decision of whether or not to drill the well. The success of the drilling program, and possibly the professional`s career, rests, to a high degree, upon the accuracy of this predicted production profile. The more accurate this prediction the more certain the economic value of the recommended drilling location. This paper looks at this predictive process as used in the Vacuum Field of Newmore » Mexico. It explores the predictive methods used in the past and reports on their accuracy. A new method, using artificial intelligence, is presented which improves upon the accuracy of this process.« less
  • The Northeast Artificial Intelligence Consortium (NAIC) was created by the Air force Systems Command, Rome Air Development Center, and the Office of Scientific Research. Its purpose was to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress during the existence of the NAIC on the technical research tasks undertaken at the member universities. The topics covered in general are: versatile expert system for equipment maintenance, distributed AI for communications systems control, automatic photointerpretation, time-oriented problem solving, speech understanding systems, knowledge of base maintenance, hardware architectures for very large systems, knowledge basedmore » reasoning and planning, and a knowledge acquisition, assistance, and explanation system. The specific topic for this volume is the development of architectures for very large knowledge bases, especially in light of real time requests, parallelism, and the advent of optical computing.« less