Amazon cover image
Image from Amazon.com

Bridging the Gap Between AI and Reality [electronic resource] : First International Conference, AISoLA 2023, Crete, Greece, October 23–28, 2023, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 14380Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIII, 456 p. 132 illus., 114 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031460029
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 004.0151 23
LOC classification:
  • QA75.5-76.95
Online resources:
Contents:
Verification meets Learning and Statistics -- Nature of AI-Based Systems -- Safety Verificatio of DNNs -- AI Assisted Programming.
In: Springer Nature eBookSummary: This book constitutes the proceedings of the First International Conference on Bridging the Gap between AI and Reality, AISoLA 2023, which took place in Crete, Greece, in October 2023. The papers included in this book focus on the following topics: The nature of AI-based systems; ethical, economic and legal implications of AI-systems in practice; ways to make controlled use of AI via the various kinds of formal methods-based validation techniques; dedicated applications scenarios which may allow certain levels of assistance; and education in times of deep learning. .
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Verification meets Learning and Statistics -- Nature of AI-Based Systems -- Safety Verificatio of DNNs -- AI Assisted Programming.

This book constitutes the proceedings of the First International Conference on Bridging the Gap between AI and Reality, AISoLA 2023, which took place in Crete, Greece, in October 2023. The papers included in this book focus on the following topics: The nature of AI-based systems; ethical, economic and legal implications of AI-systems in practice; ways to make controlled use of AI via the various kinds of formal methods-based validation techniques; dedicated applications scenarios which may allow certain levels of assistance; and education in times of deep learning. .

There are no comments on this title.

to post a comment.
© 2024 IIIT-Delhi, library@iiitd.ac.in