A MURI Center for Intelligent Biomimetic Image Processing and Classification

Abstract

Senior faculty coordinate small teams of faculty/student researchers on projects to develop the unified SMartVlSlON system. Biological modeling projects --discover fundamental organizational principles and mechanisms that enable the brain to adapt in real-time to unexpected environmental challenges, translate them into mathematical models, and use the models to quantitatively simulate large brain and behavioral data bases about vision, object recognition, and tracking. These models have introduced two revolutionary new paradigms into intelligent computing, Laminar Computing and Complementary Computing, whose impact will be increasingly felt during the next several decades. A linkage between brain and behavior is necessary for technology transfer, because brain mechanisms say how it works, and behavioral functions say what it is for. Moreover, models that can adapt autonomously in real time to a changing world are of great importance in solving outstanding technological problems. That is why, on the technological side, brain/behavior models from BU have been used and further developed by a number of companies, hospitals, and national labs to process data from artificial sensors such as synthetic aperture radar, laser radar, multispectral infrared, night vision, nuclear magnetic resonance, and high altitude photography for large-scale applications to DoD applications and technology.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2007
Accession Number
ADA474727

Entities

People

  • Stephen Grossberg

Organizations

  • Boston University

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • Brain
  • Cognitive Science
  • Collision Avoidance
  • Computational Science
  • Computer Languages
  • Computer Vision
  • Health Services
  • Information Science
  • Neural Networks
  • Neurons
  • Neurosciences
  • Psychology
  • Self Organizing Systems
  • Three Dimensional
  • Two Dimensional

Readers

  • Computer Vision.
  • Research Science/Academic Research
  • Systems Analysis and Design

Technology Areas

  • Biotechnology
  • Directed Energy