Summary of Cade Metz's Genius Makers

By IRB Media

Get the Summary of Cade Metz's Genius Makers in 20 minutes. Please note: This is a summary & not the original book. Original book introduction: Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn’t drive and didn’t fly because he could no longer sit down—but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do.

• Language: English
• Publisher: IRB Media
• Release date: Dec 3, 2021
• ISBN: 9781669340652

IRB Media

With IRB books, you can get the key takeaways and analysis of a book in 15 minutes. We read every chapter, identify the key takeaways and analyze them for your convenience.

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Insights on Cade Metz's Genius Makers

Contents

Insights from Chapter 1

Insights from Chapter 2

Insights from Chapter 3

Insights from Chapter 4

Insights from Chapter 1

#1

The idea of a machine that thought and learned was first introduced in the 1940s by American mathematician Frank Rosenblatt. His Perceptron was able to distinguish between left and right. It could also translate between languages. However, it never lived up to its full potential because it was limited by its technology.

#2

The second machine was designed to see the world around it. It was called the Mark I, and unlike other computers of the time, it was designed to recognize objects.

#3

The first machine that could learn like a human was developed by Herbert Alexander Rosenblatt in 1960. It took the name Perceptron, and it was meant to mimic human perception and thought.

#4

The Mark I was not very effective at reading printed letters, but it was still a major step in the right direction.

#5

Minsky, one of the earliest proponents of artificial intelligence, was sure that a machine would one day surpass human intelligence. However, he wasn't so sure about neural networks, and spent most of his time exploring other techniques.

#6

The Perceptron was a controversial concept among academics, and many blamed the press for exaggerating its achievements.

#7

In 1966, a conference was held at the Hilton in San Juan, Puerto Rico, to discuss the latest advances in pattern recognition technology. One of the presenters was John Munson, a researcher from SRI who was working on a system that could read handwritten characters. He was criticized by Minsky, who believed that the Perceptron was not applicable to recognizing handwritten characters.

#8

In the 1980s, researchers began