Evaluating Architectural Safeguards for Uncertain AI Black-Box Components

Released on by Scheerer, Max
preview-18

  • Evaluating Architectural Safeguards for Uncertain AI Black-Box Components Book Detail

  • Author : Scheerer, Max
  • Release Date : 2023-10-23
  • Publisher : KIT Scientific Publishing
  • Genre :
  • Pages : 472
  • ISBN 13 : 373151320X
  • File Size : 1,1 MB
DOWNLOAD BOOK

Evaluating Architectural Safeguards for Uncertain AI Black-Box Components by Scheerer, Max PDF Summary

Book Description: Although tremendous progress has been made in Artificial Intelligence (AI), it entails new challenges. The growing complexity of learning tasks requires more complex AI components, which increasingly exhibit unreliable behaviour. In this book, we present a model-driven approach to model architectural safeguards for AI components and analyse their effect on the overall system reliability.

Disclaimer: www.yourbookbest.com does not own Evaluating Architectural Safeguards for Uncertain AI Black-Box Components books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Artificial Intelligence in Ophthalmology

Artificial Intelligence in Ophthalmology

File Size : 10,10 MB
Total View : 662 Views
DOWNLOAD

This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly w

Regulating Artificial Intelligence

Regulating Artificial Intelligence

File Size : 54,54 MB
Total View : 7967 Views
DOWNLOAD

This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that current