AIQ: How People and Machines Are Smarter Together - Nick Polson, James Scott

Category: Computer, Contemporary
Language: English
Keywords: AI Artificial Intelligence Automation & Robotics Big Data Business & Careers Computer Science Computers & Technology Data Data Ethics Data Science Decision Making Digital Revolution Future Studies Futurism History Of Ideas Human Creativity Human Machine Interface Industrial & Manufacturing Intelligent Machines IQ Machine Learning Mathematics Modern World probability Robots Silicon Valley Smartphones Tech Ethics Technological Progress Technology Technology & Society Technology Ethics

Written by Nick Polson, James Scott
Read by Nick Polson, Walter Dixon
Format: MP3
Bitrate: 48 Kbps
Unabridged

“There comes a time in the life of a subject when someone steps up and writes the book about it. AIQ explores the fascinating history of the ideas that drive this technology of the future and demystifies the core concepts behind it; the result is a positive and entertaining look at the great potential unlocked by marrying human creativity with powerful machines.”
- Steven Levitt, co-author ‘Freakonomics’

From two cutting-edge data scientists comes a fascinating audiobook that tells listeners what they need to know in order to understand how intelligent machines are changing the world and how we can use this knowledge to make better decisions in our own lives.

Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smart phones to talking robots to self-driving cars, are remaking the world of the 21st century in the same way that the Industrial Revolution remade the world of the 19th century.

AIQ, by Nick Polson and James Scott, is based on a simple premise: If you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach listeners that language - but in an unconventional way, anchored in stories rather than mathematics.

Listeners will meet a fascinating cast of historical characters who have a lot to teach about data, probability, and better thinking. Along the way, listeners will see how these same ideas are playing out in the modern age of big data and intelligent machines - and how these technologies will soon help them to overcome some of their built-in cognitive weaknesses, giving them a chance to lead happier, healthier, more fulfilled lives.