Artificial Intelligence (AI) fascinates, challenges and disturbs us. There are many voices in society that predict drastic changes that may come as a consequence of AI – a possible apocalypse or Eden on earth. However, only a few people truly understand what AI is, what it can do and what its limitations are. Understanding Artificial Intelligence explains, through a straightforward narrative and amusing illustrations, how AI works. It is written for a non-specialist reader, adult or adolescent, who is interested in AI but is missing the key to understanding how it works. The author demystifies the creation of the so-called "intelligent" machine and explains the different methods that are used in AI. It presents new possibilities offered by algorithms and the difficulties that researchers, engineers and users face when building and using such algorithms. Each chapter allows the reader to discover a new aspect of AI and to become fully aware of the possibilities offered by this rich field.
The concept is derived from the Google Design Sprint. The AI Design Sprint is used in different variants, which depend on the task of each company. Starting point can be the end customer (AI Design Sprint “New Services”), ...
Drawn from the pages of Scientific American and collected here for the first time, this work contains updated and condensed information, made accessible to a general popular science audience, on the subject of artificial intelligence.
Proof of Theorem 23.9 To prove the theorem we follow an approach due to (B araniuk, Davenport, DeVore & Wakin 2008). The idea is to combine the J ohnson-Lindenstrauss (J L) lemma with a simple covering argument.
This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
This book is ideally designed for researchers, developers, strategists, managers, practitioners, executives, analysts, scientists, policymakers, academicians, and students seeking current research on the future of AI and its influence on ...
ANNA F. ★ ★ ★ ★ ★ Extremely Insightful and Interesting Format: Kindle Edition | Verified Purchase This book is full of interesting topics such as how different business processes and industries will change due to the growth of ...
This new guide provides an ... examination of how artificial intelligence has evolved, how it will affect the legal profession, and how the law will be reformed to meet the new realities created by AI. Written by high-level industry experts ...
This book is the perfect guide for you! In AI Simplified, you'll learn about the basics of AI, including; Machine learning, natural language processing, and computer vision.
In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of ...
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think.