Book TV: James Barrat, "Our Final Invention: Artificial Intelligence and the End of the Human Era." – Video


Book TV: James Barrat, "Our Final Invention: Artificial Intelligence and the End of the Human Era."
Documentary filmmaker James Barrat talks about the threat of runaway artificial intelligence. Mr. Barrat argues that we are headed into a future in which mac...

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Book TV: James Barrat, "Our Final Invention: Artificial Intelligence and the End of the Human Era." - Video

Last night I ate a computer-generated meal. It was fantastic.

7 hours ago Mar. 7, 2014 - 10:03 AM PST

A bourbon cocktail with turmeric and banana juice. Two different preparations of duck with ingredients that probably have never before been paired with a duck. An olive and cherry compote that delivered a flavor profile that was completely delicious and utterly different. All ingredient pairings suggested by IBMs artificial intelligence software and then executed and adapted by chefs from the Institute of Culinary Education.

This idea of Chef Watson, using the same software as the AI powering IBMs Jeopardy-playing computer that has since transitioned into a financial advisor and a medical assistant, has been written about for the last year. But at South by Southwest taking place over the next few days in Austin, Texas, attendees of the show will get a chance to taste the recipes inspired by IBMs cognitive cooking program via a food trailer cooking up a crowd selection each day. Combining food and data to generate new recipes is not an IBM specialty, several startups such as Yummly, Food Genius and Foodpairing are all working on this problem.

The idea repeated by countless videos and several times last night is that humans can only handle about two or maybe three ingredient pairings before hitting a creative wall. However, IBMs computer can handle many more suggestions up to a quintillion flavor pairings helping augment chefs creativity with computer-generated ideas. The chefs at last nights event seemed genuinely excited by the possibilities discussing their original doubt over the proffered list of ingredients and then their eventual surprise as they managed to create something worth eating.

IBMs taking information from three different databases to turn Watson into a chef, from a database that includes the molecular compounds in food to one that measures how people react to it, and then adding the ability to match the databases against novelty and cultural preferences around taste. In some ways, IBMs cognitive cooking experience can accelerate the new combinations of ingredients weve seen as chefs travel the world tasting new flavors and bringing new ingredients to their native lands. For the details, check out this video:

But amid the technical details about how the cognitive cooking process works, I noticed that IBM staff never called the machine Watson, which seemed odd given that Watson seems to be ready to compete with Barbie for the number of careers it can have. When I asked, a representative from the IBM camp told me that it was because the official Watson runs on IBMs Power 7 servers while the cognitive cooking program runs on SoftLayers cloud. So while the process of probabilistic reasoning is the same, the data sets and hardware are different.

Which brings up an interesting question, what is Watson? Given that the databases are different for cooking, medicine, Jeopardy! and financial planning, does the hardware really matter for an AI system? When pressed, an IBM spokeswoman said: The cognitive cooking technology you saw last night is a Watson system. Its not the same Watson technology that played on Jeopardy! or is being used in healthcare.

Since the goal of last nights event and Watsons whole chef career is an effort to show that machines can succeed in a creative endeavor (although I would argue that it does require human interpretation), it appears that perhaps Watsons next creative effort might be a journey of self discovery. It may sound silly, but as IBM prepares to deliver cognitive computing as a service, its actually a topic worth pondering.

Well actually discuss Watsons future as a cloud service in less than two weeks at our Structure Data event March 19 and 20 in New York. A main theme of the conference is using data to build entirely new products and capabilities rather than just using big data as a euphemism for better business intelligence. IBM seems to be doing just that.

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Last night I ate a computer-generated meal. It was fantastic.

The Machine: Film Review

The Bottom Line

Raging against the machines.

March 21 (UK)

Caity Lotz, Toby Stephens, Dennis Lawson, Sam Hazeldine

Caradog W. James

Do androids dream of robot love and electric children? That is a key question running through this brooding, stylish, highly atmospheric future-noir thriller. Although he clearly shot his second feature on limited resources, the Welsh writer-director Caradog W. James has already picked up numerous awards and distribution deals.

At times the slender budget lets him down, notably during some threadbare action sequences. But The Machine is still a classy slice of cerebral sci-fi with a literary-cinematic heritage stretching back through Blade Runner and Metropolis to Frankenstein. Opening on UK screens later this month, closely followed by DVD and Blu-Rayrelease, it should find a modest but devoted cult audience both domestically and overseas.

TV REVIEW:Resurrection

The setting is a near-future Britain blighted by both economic and literal gloom, a dystopian land of perpetual darkness and military-industrial paranoia. The West is battling China in a new Cold War, with artificial intelligence rather than nuclear weapons fueling the latest superpower arms race. Toby Stephens, best known as James Bonds suave nemesis in Die Another Day, plays Vincent McCarthy, a computer expert seeking to perfect super-intelligent androids for his army paymasters.

McCarthys boss Thomson (original Star Wars trilogy veteran Dennis Lawson) dreams of making the perfect robot weapon, but the anguished boffin is motivated by more tragic personal reasons. The arrival of brilliant young American scientist Ava (Caity Lotz) helps him realize his project, as well as providing an obligatory frisson of sexual tension.

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The Machine: Film Review

playing trojan for the NES (pt 5) using Human Level Artificial Intelligence – Video


playing trojan for the NES (pt 5) using Human Level Artificial Intelligence
http://www.humanlevelartificialintelligence.com This video shows a robot playing a nintendo game called trojan. There are no sound in parts of the video beca...

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playing trojan for the NES (pt 5) using Human Level Artificial Intelligence - Video

Artificial Intelligence Communication Project By Pranav Rao and Saurabh Mishra – Video


Artificial Intelligence Communication Project By Pranav Rao and Saurabh Mishra
This is a project for an Artificial Intelligence class. references: http://cheezburger.com/5538744064 http://kotaku.com/5990307/the-most-hilarious-arma-iii-a...

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Artificial Intelligence Communication Project By Pranav Rao and Saurabh Mishra - Video

Playing rygar fro the NES (pt 1) using Human Level Artificial Intelligence – Video


Playing rygar fro the NES (pt 1) using Human Level Artificial Intelligence
http://www.humanlevelartificialintelligence.com This video shows a robot playing a nintendo game called rygar. There are no sound in parts of the video becau...

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Playing rygar fro the NES (pt 1) using Human Level Artificial Intelligence - Video

Giantfirering27 Music Artificial Intelligence Bomb SPED UP [30 Min Loop] – Video


Giantfirering27 Music Artificial Intelligence Bomb SPED UP [30 Min Loop]
I was messing around in Audacity, and then I got the idea of Speeding up naruto2413 #39;s Artificial Intelligence Bomb Song, and looping for about 30 minutes... ...

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Giantfirering27 Music Artificial Intelligence Bomb SPED UP [30 Min Loop] - Video

ICCM 2013: Carlos Castillo (ChaTo), QCRI: Artificial Intelligence for Disaster Response (AIDR) – Video


ICCM 2013: Carlos Castillo (ChaTo), QCRI: Artificial Intelligence for Disaster Response (AIDR)
ChaTo Castillo from the Qatar Computing Research Institute discusses Artificial Intelligence for Disaster Response (AIDR). This talk will present the AIDR pl...

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ICCM 2013: Carlos Castillo (ChaTo), QCRI: Artificial Intelligence for Disaster Response (AIDR) - Video

Apple shifts gears with CarPlay, its response to Google Now

With Apple's new integration into automobiles, the company wades into the complex waters of predictive services.

There is, of course, now a watered-down version of Google Now for iOS users. And there are some bifurcated iOS apps that try to replicate the experience, but so far, nothing officially from Apple.

Until now. And it doesn't come on a handset. At the Geneva International Motor Show on Monday, Apple unveiled CarPlay, an integration that ties Apple's mobile operating system into automobiles, allowing for voice-enabled and touch-screen control of things like maps, driving directions, and music. Previously dubbed "iOS in the Car," the service supports third party music apps like Spotify and iHeartRadio, and will be available in cars from manufacturers like Ferrari, Mercedes, and Volvo.

But perhaps the most interesting bit of the announcement was a few innocuous details about CarPlay's artificial intelligence capabilities. The software will be able to scan through a user's data, such as his or her calendar or e-mails, to try to pull up relevant destinations and driving directions. And with that, Apple has made its biggest push into predictive services. (The company, of course, already has had its personal assistant Siri since the release of the iPhone 4S, but thus far, the service hasn't had an emphasis on technology based on the user's context.)

Noting that other apps already do predictive services and do them well, Gartner analyst Thilo Koslowski said Apple's decision to introduce the technology on car dashboards rather than the iPhone was rooted in giving the technology a specific use.

"This type of intelligence and pro-activeness helps to address one of the key safety aspects: minimizing distracted driving," said Koslowski, who covers automotive technology.

The technology also adds another element to Apple Maps, which had a difficult start, mired with bugs and spotty navigation. If the service is so quick to offer up directions that a user thinks, "well, it's already on my screen, I might as well use it," then Apple wins goodwill from a user, and more importantly, a trove of driving data from another customer. That data also goes into making the Maps product better.

"My calendar knows where I am all the time. But when I get into my car, I still have to input a location into my GPS," said Thierry Donneau-Golencer, co-founder of Tempo, a personal assistant app focused specifically on the calendar. He said he thinks Apple's race to put predictive technology into automobiles is just one part of the puzzle in the company trying to make iOS prevalent at all times. (Donneau-Golencer said Tempo, for its part, also has been approached by three major auto manufacturers for car integrations since the company launched last year.)

Anytime a company is sifting through your data, there is always concern regarding security and privacy. The unique challenge here, Koslowski said, is in the way people think about their cars. He argues that unlike a phone, which is as personal a device as ever but is still impersonal enough to be subsidized by a cellular carrier, the car is still much more private. "It's like your cocoon," he said. "You close your door and turn up the music," he said, adding that people would be more outraged than normal to have their privacy invaded regarding their driving habits.

Still, getting a customer hooked on the technology in the car means that the company can eventually expand on it out of the vehicle, especially in the arenas of wearables and home appliances. Google beat Apple to the punch with Google Now, a stellar predictive product. "But the car is a good place to start," said Donneau-Golencer.

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Apple shifts gears with CarPlay, its response to Google Now