Research for Generalizable, Explainable and Robust Machine Learning

Abstract

We are requesting instrumentation at Rutgers University's CBIM Center which is directed by Dr. Metaxas and focuses on research in novel machine learning, physics-based modeling, computer vision, AI, human behavior analytics, visualization and medical image analytics. The requested instrumentation includes 6 GPU servers with a total of 1TB of main memory and 8 GPU TESLA V100 processors per server, related networking switches, cables and power supplies. The proposed instruments will enable novel challenging ongoing and future research at CBIM on robust machine learning to data variability, coupling of machine learning and physics-based modeling, explainable and interpretable machine learning and AI for scene understanding and generalizability to unseen objects and scene classes, real time data analytics, dynamic event recognition, human behavior analytics and natural language understanding.

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Document Details

Document Type
Technical Report
Publication Date
Dec 22, 2021
Accession Number
AD1210870

Entities

People

  • Lana Metayer

Organizations

  • Rutgers University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Computer Languages
  • Computer Science
  • Computer Vision
  • Computers
  • Data Analysis
  • Data Mining
  • Deep Learning
  • Detection
  • High Resolution
  • Human Behavior
  • Image Recognition
  • Information Processing
  • Information Systems
  • Instrumentation
  • Machine Learning
  • Pattern Recognition
  • Recognition

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Neural Network Machine Learning.
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks