Google's Real Goal is Artificial Intelligence

Motherboard - 5.16.13 by Meghan Neal

“SEARCH AS WE KNOW IT IS OVER”

Image: Google

If the sprawling opening day at Google's I/O 2013 conference made one thing clear, it’s that Google knows everything about everything.

To stay competitive in today’s tech market, Google is brandishing its biggest weapon: Data. Massive amounts of data. The company knows so much about us it can serve as a cross between a personal assistant and a brain extension. The major product announcements from the opening day of Google’s annual developer conference reflect that, all trending toward the founders’ dream of artificial intelligence. Basically, Google is reading our data so that it will be able to read our minds.

All this personalized information has the potential to be transformative—so long as you’re not concerned with things like privacy or corporate world domination. It all depends on how much creepy we’re willing to put up with in exchange for usefulness.

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Quantum Computers Are Here!

New York Times - 5.16.13 by Quentin Hardy

Google said it had already devised machine-learning algorithms that work inside the quantum computer, which is made by D-Wave Systems of Burnaby, British Columbia.

Kim Stallknecht for The New York Times

Google and NASA are forming a laboratory to study artificial intelligence by means of computers that use the unusual properties of quantum physics. Their quantum computer, which performs complex calculations thousands of times faster than existing supercomputers, is expected to be in active use in the third quarter of this year.

The Quantum Artificial Intelligence Lab, as the entity is called, will focus on machine learning, which is the way computers take note of patterns of information to improve their outputs. Personalized Internet search and predictions of traffic congestion based on GPS data are examples of machine learning. The field is particularly important for things like facial or voice recognition, biological behavior, or the management of very large and complex systems.

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What To Do When Your Boss is a Robot

Mother Jones - May/June 2013 by Kevin Drum

Smart machines probably won't kill us all—but they'll definitely take our jobs, and sooner than you think.

Illustrations by Roberto Parada

THIS IS A STORY ABOUT THE FUTURE. Not the unhappy future, the one where climate change turns the planet into a cinder or we all die in a global nuclear war. This is the happy version. It's the one where computers keep getting smarter and smarter, and clever engineers keep building better and better robots. By 2040, computers the size of a softball are as smart as human beings. Smarter, in fact. Plus they're computers: They never get tired, they're never ill-tempered, they never make mistakes, and they have instant access to all of human knowledge.

The result is paradise. Global warming is a problem of the past because computers have figured out how to generate limitless amounts of green energy and intelligent robots have tirelessly built the infrastructure to deliver it to our homes. No one needs to work anymore. Robots can do everything humans can do, and they do it uncomplainingly, 24 hours a day. Some things remain scarce—beachfront property in Malibu, original Rembrandts—but thanks to super-efficient use of natural resources and massive recycling, scarcity of ordinary consumer goods is a thing of the past. Our days are spent however we please, perhaps in study, perhaps playing video games. It's up to us.

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The Man Behind the Google Brain

Wired - 5.7.13 by Daniela Hernandez

For the first time in my life, it made me feel like it might be possible to make some progress on a small part of the AI dream within our lifetime.

There’s a theory that human intelligence stems from a single algorithm.

The idea arises from experiments suggesting that the portion of your brain dedicated to processing sound from your ears could also handle sight for your eyes. This is possible only while your brain is in the earliest stages of development, but it implies that the brain is — at its core — a general-purpose machine that can be tuned to specific tasks.

About seven years ago, Stanford computer science professor Andrew Ng stumbled across this theory, and it changed the course of his career, reigniting a passion for artificial intelligence, or AI. “For the first time in my life,” Ng says, “it made me feel like it might be possible to make some progress on a small part of the AI dream within our lifetime.”

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How to Negotiate with Robots

Kurzweil Accelerating Intelligence - 5.5.13

Everything around us is getting smarter.

Credit: Zipcar

Vehicles, robots and other autonomous devices could soon collaborate with humans, thanks to researchers at MIT who are developing systems capable of negotiating with people to determine the best way to achieve their goals.

“In general, everything around us is getting smarter,” says Brian Williams, a professor of aeronautics and astronautics and leader of the Model-Based Embedded and Robotic Systems group within MIT’s Computer Science and Artificial Intelligence Laboratory. “So we’re trying to allow people to interact with these increasingly autonomous systems in the same way that they would interact with another human.”

Ultimately such systems could be used to control autonomous vehicles, such as personal aircraft and driverless cars. But in the short term, Williams and graduate student Peng Yu are developing systems to allow conventional vehicles to work with their drivers to plan routes and schedules.

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