The Near Future of AI: Transformer-Based Learning

Abstract

Takeaways: AI is improving at a rapid pace; Transformers leverage data and compute to be very effective; AI can be vulnerable due to attacks; We need AI assurance.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2023
Accession Number
AD1199685

Entities

People

  • Shannon Gallagher

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Cognitive Systems Engineering
  • Convolutional Neural Networks
  • Deepfakes
  • Detection
  • Detectors
  • Engineering
  • Engineers
  • Facial Recognition
  • Learning
  • Materials
  • Neural Networks
  • Recurrent Neural Networks
  • Software Development
  • Systems Engineering