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by Brad Power — Harvard Business Review
MAR15_19_35565381
Artificial Intelligence (AI) is an idea that has oscillated through many hype cycles over many years, as scientists and sci-fi visionaries have declared the imminent arrival of thinking machines. But it seems we’re now at an actual tipping point. AI, expert systems, and business intelligence have been with us for decades, but this time the reality almost matches the rhetoric, driven by the exponential growth in technology capabilities (e.g., Moore’s Law), smarter analytics engines, and the surge in data.

Most people know the Big Data story by now: the proliferation of sensors (the “Internet of Things”) is accelerating exponential growth in “structured” data. And now on top of that explosion, we can also analyze “unstructured” data, such as text and video, to pick up information on customer sentiment. Companies have been using analytics to mine insights within this newly available data to drive efficiency and effectiveness. For example, companies can now use analytics to decide which sales representatives should get which leads, what time of day to contact a customer, and whether they should e-mail them, text them, or call them.

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By Evan Ackerman and Erico Guizzo — IEEE Spectrum

“Need a hand?”

Earlier this week, we went up to Boston to see something new from Rethink Robotics. They wouldn’t tell us what (not even a hint), but we bought plane tickets anyway, because Rodney Brooks told us that it wasn’t just some slightly different version of Baxter. And it wasn’t: it’s a completely different robot, stuffing all of the adaptive, collaborative technology that makes Baxter unique into a form factor that’s smaller, faster, stronger, and more precise.

This is Sawyer.

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By Erik Sofge — Popular Science

Brace yourself. In these crucial weeks before the May release of The Avengers: Age of Ultron, editors and writers are going to unleash an onslaught of think pieces about the real-life threat of artificial intelligence (AI). Whatever box office records the upcoming movie does or doesn’t break, it will offer yet another vision of AI insurgency, in the form of Ultron. Created to protect humanity from a variety of threats, the embittered, James Spader-voiced peacekeeping software decides to throw the baby out with the bathwater, and just massacre all of us. It’s the latest, but certainly not the last time that Hollywood will turn the concept of AI superintelligence into action movie fodder. And for media outlets, it provides another opportunity to apply light reporting, and deeply furrowed brows, to the greatest problem in AI, that also happens to not be a problem at all.

More likely, the AI that hurts us will be very, very dumb.
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— The New York Times

LET me hazard a guess that you think a real person has written what you’re reading. Maybe you’re right. Maybe not. Perhaps you should ask me to confirm it the way your computer does when it demands that you type those letters and numbers crammed like abstract art into that annoying little box.

Because, these days, a shocking amount of what we’re reading is created not by humans, but by computer algorithms. We probably should have suspected that the information assaulting us 24/7 couldn’t all have been created by people bent over their laptops.

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By LiXuena, WangXinci ‚ZhangBoling — MarketWatch

Every day, two quality-control supervisors monitor four robots tirelessly assembling remote-control devices for home appliances at a Midea Group 000333, +1.04% factory in Foshan, in the southern Chinese province of Guangdong.

The robots recently replaced 14 workers on the plant’s assembly line for remote controls. And soon, according to Midea’s home-air-conditioner division deputy general manager Wu Shoubao, more robots will arrive to replace the quality-control supervisors.
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By — ExtremeTech
Robo-ethics
By its nature, the Open Roboethics Initiative is easy to dismiss — until you read anything they’ve published. As we head toward a self-driving future in which virtually all of us will spend some portion of the day with our lives in the hands of a piece of autonomous software, it ought to be clear that robot morality is anything but academic. Should your car kill the child on the street, or the one in your passenger seat? Even if we can master such calculus and make it morally simple, we will do so only in time to watch a flood of household robots enter the market and create a host of much more vexing problems. There’s nothing frivolous about it — robot ethics is the most important philosophical issue of our time.
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Quoted: “The decentralized Sapience AIFX project has developed a distributed artificial intelligence system running on a cryptocurrency network. In addition, the project has implemented the first distributed database platform running entirely over the bitcoin peer-to-peer protocol, built on top of a distributed hash table with redundancy, resiliency, and multi-dimensional trie-based indexing. These technologies are the first core pieces in the Sapience AIFX platform strategy to be the market leader in the consumerization of the blockchain.

The project has implemented the first in-wallet interactive Lua shell, bringing developers unprecedented capabilities to build solutions leveraging the blockchain, multi-layer perceptron networks, and distributed data storage. The possibilities span from algorithmic trading tools to bioinformatics and data mining, and the traditional applications of deep learning.”

Read more here > http://www.pressreleaserocket.net/first-cryptocurrency-to-utilize-artificial-intelligence-on-the-blockchain-sapience-aifx-connects-bitcoin-based-coin-networks-into-a-singularity-leads-consumerization-of-the-blockchain/104609/

By Jason Dorrier — Singularity Hubhttp://cdn.singularityhub.com/wp-content/uploads/2015/02/sci-fi-sunday-2-1000x400.jpg

The desolate reaches of deep space figure heavily in today’s sci-fi short film double feature. Space, as it turns out, is really big and empty. Until we get warp drive or discover a local wormhole—getting anywhere will be a long, lonely slog. The other thread tying the films together? They’re both by director Eli Sasich.

First up is HENRi. The film is like an episode of Life After People in space. What happens to a ship’s artificially intelligent computer after its crew dies? It gets melancholy, begins missing its human friends something terrible, and builds itself a robot body out of the ship’s rusty scrap and spare parts.

“My particular interest for this film was memory and its intrinsic relationship with consciousness,” Sasich writes in an article about the film’s making. “I also wanted a robot of my very own.”

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By — Slate
The dangers of AI.

In January, I joined Stephen Hawking, Elon Musk, Lord Martin Rees, and other artificial intelligence researchers, policymakers, and entrepreneurs in signing an open letter asking for a change in A.I. research priorities. The letter was the product of a four-day conference (held in Puerto Rico in January), and it makes three claims:
  • Current A.I. research seeks to develop intelligent agents. The foremost goal of research is to construct systems that perceive and act in a particular environment at (or above) human level.
  • A.I. research is advancing very quickly and has great potential to benefit humanity. Fast and steady progress in A.I. forecasts a growing impact on society. The potential benefits are unprecedented, so emphasis should be on developing “useful A.I.,” rather than simply improving capacity.
  • With great power comes great responsibility. A.I. has great potential to help humanity but it can also be extremely damaging. Hence, great care is needed in reaping its benefits while avoiding potential pitfalls.

In response to the release of this letter (which anyone can now sign and has been endorsed by more than 6,000 people), news organizations published articles with headlines like:

John Tammy — Forbes

As robots increasingly adopt human qualities, including those that allow them to replace actual human labor, economists are starting to worry. As the Wall Street Journal reported last week, some “wonder if automation technology is near a tipping point, when machines finally master traits that have kept human workers irreplaceable.”

The fears of economists, politicians and workers themselves are way overdone. They should embrace the rise of robots precisely because they love job creation. As my upcoming book Popular Economics points out with regularity, abundant job creation is always and everywhere the happy result of technological advances that tautologically lead to job destruction.

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