Saved in:
Bibliographic Details
Main Authors: Jangid, Jagdish, Dixit, Sachin
Format: Recurso digital
Language:
Published: Zenodo 2023
Online Access:https://doi.org/10.5281/zenodo.15354204
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866902048199409664
author Jangid, Jagdish
Dixit, Sachin
author_facet Jangid, Jagdish
Dixit, Sachin
contents <p>In this comprehensive exploration of Artificial Intelligence, The AI Renaissance: Innovations, Ethics, and the Future of Intelligent Systems takes readers on a captivating journey through the foundations, applications, and ethical dimensions of this groundbreaking technology. Divided into three insightful parts, the book begins with a deep dive into the evolution of AI, from early symbolic intelligence to the rise of deep learning, and examines the intersection of neuroscience and artificial general intelligence (AGI). Part two highlights AI’s transformative role across various industries, from fintech to cybersecurity. Explore how AI is revolutionizing finance through fraud detection, automated trading, and personalized financial services. Dive into the world of computer networking, where AI is optimizing connectivity, enhancing predictive maintenance, and enabling ultra-fast 5G networks. Learn how AI is strengthening cybersecurity defenses with cutting-edge threat detection, automated responses, and advanced security policies. The final section delves into the critical discussions surrounding AI’s ethical, social, and philosophical challenges, such as algorithmic bias, human-AI collaboration, and the potential future of AGI. With speculation on the role of quantum computing and the ethical landscape ahead, this book offers a thorough, thought-provoking analysis of how AI will shape our world in the years to come. Ideal for anyone interested in understanding the current state and future potential of AI, this Book is a must-read for technology enthusiasts, industry professionals, and thinkers concerned with the intersection of innovation and ethics.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_15354204
institution Zenodo
language
publishDate 2023
publisher Zenodo
record_format zenodo
spellingShingle The AI Renaissance: Innovations, Ethics, and the Future of Intelligent Systems
Jangid, Jagdish
Dixit, Sachin
<p>In this comprehensive exploration of Artificial Intelligence, The AI Renaissance: Innovations, Ethics, and the Future of Intelligent Systems takes readers on a captivating journey through the foundations, applications, and ethical dimensions of this groundbreaking technology. Divided into three insightful parts, the book begins with a deep dive into the evolution of AI, from early symbolic intelligence to the rise of deep learning, and examines the intersection of neuroscience and artificial general intelligence (AGI). Part two highlights AI’s transformative role across various industries, from fintech to cybersecurity. Explore how AI is revolutionizing finance through fraud detection, automated trading, and personalized financial services. Dive into the world of computer networking, where AI is optimizing connectivity, enhancing predictive maintenance, and enabling ultra-fast 5G networks. Learn how AI is strengthening cybersecurity defenses with cutting-edge threat detection, automated responses, and advanced security policies. The final section delves into the critical discussions surrounding AI’s ethical, social, and philosophical challenges, such as algorithmic bias, human-AI collaboration, and the potential future of AGI. With speculation on the role of quantum computing and the ethical landscape ahead, this book offers a thorough, thought-provoking analysis of how AI will shape our world in the years to come. Ideal for anyone interested in understanding the current state and future potential of AI, this Book is a must-read for technology enthusiasts, industry professionals, and thinkers concerned with the intersection of innovation and ethics.</p>
title The AI Renaissance: Innovations, Ethics, and the Future of Intelligent Systems
url https://doi.org/10.5281/zenodo.15354204