The current state of machine intelligence 2.0 – O’Reilly Media

The current state of machine intelligence 2.0 – O’Reilly Media

A year ago today, I published my original attempt at mapping the machine intelligence ecosystem. So much has happened since.

I spent the last 12 months geeking out on every company and nibble of information I can find, chatting with hundreds of academics, entrepreneurs, and investors about machine intelligence. This year, given the explosion of activity, my focus is on highlighting areas of innovation, rather than on trying to be comprehensive.

Despite the noisy hype, which sometimes distracts, machine intelligence is already being used in several valuable ways. Machine intelligence already helps us get the important business information we need more quickly, monitors critical systems, feeds our population more efficiently, reduces the cost of health care, detects disease earlier, and so on.

The two biggest changes I’ve noted since I did this analysis last year are
(1) the emergence of autonomous systems in both the physical and virtual world
and (2) startups shifting away from building broad technology platforms to focusing on solving specific business problems.

The Man Who Would Teach Machines to Think – The Atlantic

The Man Who Would Teach Machines to Think – The Atlantic.

It depends on what you mean by artificial intelligence.” Douglas Hofstadter is in a grocery store in Bloomington, Indiana, picking out salad ingredients. “If somebody meant by artificial intelligence the attempt to understand the mind, or to create something human-like, they might say—maybe they wouldn’t go this far—but they might say this is some of the only good work that’s ever been done.”

Their operating premise is simple: the mind is a very unusual piece of software, and the best way to understand how a piece of software works is to write it yourself. Computers are flexible enough to model the strange evolved convolutions of our thought, and yet responsive only to precise instructions. So if the endeavor succeeds, it will be a double victory: we will finally come to know the exact mechanics of our selves—and we’ll have made intelligent machines.