Everyone, from journalists to investors, sees the growing impact of AI in our lives. But few know what’s under the hood. How do machine learning algorithms work, how did they arise, and where are they going? A detailed yet approachable explanation for the intelligent reader.
Length: 220 pages
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Giuliano has held several roles in technology and AI companies, from startups like Bluecore to Microsoft and Facebook. He has long been interested in the rise and applications of artificial intelligence. He holds two degrees from MIT, where he studied under Marvin Minsky, one of the founding fathers of artificial intelligence and founder of the MIT Media Lab. Giuliano also worked under Patrick Henry Winston, former director of the MIT Artificial Intelligence Laboratory, in the Genesis Group, helping to develop an account of human intelligence. This is his first book.
Table of Contents
What to Expect in This Book
Early Beginnings (1932–1952)
The Birth of Artificial Intelligence (1952–1956)
Golden Years (1956–1974)
First A.I. Winter (1974–1980)
A.I. Boom (1980–1987)
Second A.I. Winter (1987–1993)
Probabilistic Reasoning (1993–2001)
How to Learn
Convolutional Neural Networks
Dueling Neural Networks
Data Is the New Oil
Deep Learning Processors
Sleeping and Learning
Predicting the Future
Robots in the Industry
Machine Learning and Robotics
The Future of Self-Driving Cars
Voice Assistants (Siri)
Creating Artificial General Intelligence
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