Account
Orders
Advanced search
Contextualizing AI in Human History
Louise Reader
Read on Louise Reader App.
This book explores, from a high level, the parallels between the evolution of humans and the evolution of machines. The book reviews practical questions about the future of AI but also engages in philosophical discussions about what machine intelligence could mean for the human experience.
The book focuses on what is intelligence and what separates intelligent species from non-so-intelligent ones. It concludes this section with the description of true nature of human
intelligence can be. We discuss how we looked at machines few hundred years back and how their definition and the expectations from them has changed over time. We will consider when and how machines became intelligent and then explore in depth he latest developments in artificial intelligence with explanation of deep learning technology and humanlike chat interface provided with products like ChatGPT. We will define both human intelligence and artificial intelligence and the distinction between the two.
In the third and final section of the book, we will focus on near- and longer-term futures with widespread use of machine intelligence, making the whole ambient environment that we will live in intelligent How is this going to change human lives, and what parts of human life will be encroached with machines and their intelligence? We will explore how the job market will look with some jobs being taken by machines, and if this is overall a positive or negative change.
What You Will Learn
How human intelligence is connected with artificial intelligence as well as the differences
How AI is going to change our lives in the coming years, decades and centuries
An explanation of deep learning technology and humanlike chat interface provided with products like ChatGPT
Who This Book is For
Readers looking to contextualize the evolution of artificial intelligence in human history
Les livres numériques peuvent être téléchargés depuis l'ebookstore Numilog ou directement depuis une tablette ou smartphone.
PDF : format reprenant la maquette originale du livre ; lecture recommandée sur ordinateur et tablette EPUB : format de texte repositionnable ; lecture sur tous supports (ordinateur, tablette, smartphone, liseuse)
DRM Adobe LCP
LCP DRM Adobe
This ebook is DRM protected.
LCP system provides a simplified access to ebooks: an activation key associated with your customer account allows you to open them immediately.
ebooks downloaded with LCP system can be read on:
Adobe DRM associates a file with a personal account (Adobe ID). Once your reading device is activated with your Adobe ID, your ebook can be opened with any compatible reading application.
ebooks downloaded with Adobe DRM can be read on:
mobile-and-tablet To check the compatibility with your devices,see help page
Dr. Ameet Joshi received his PhD from Michigan State University in 2006. He has over 15 years of experience in developing machine learning algorithms in various different industrial settings including Pipeline Inspection, Home Energy Disaggregation, Microsoft Cortana Intelligence and Business Intelligence in CRM. He is currently a Data Science Manager at Microsoft. Previously, he has worked as Machine Learning Specialist at Belkin International and a Director of Research at Microline Technology Corp. He is a member of several technical committees, has published in numerous conference and journal publications and contributed to edited books. He also has two patents and have received several industry awards including and Senior Membership of IEEE (which only 8% of members achieve).
Sign up to get our latest ebook recommendations and special offers