Pursuit my passion "Artificial Intelligence": Noha Khater at TEDxTantaU
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Pursuit my passion "Artificial Intelligence": Noha Khater at TEDxTantaU - Video

Image Processing using artificial intelligence, supervised classification, RGB segmentation_Source
Contact: Srikar Garrepally sgarrep@gmail.com.

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Chemical Poison - artificial intelligence (Radio Edit)
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Chemical Poison - artificial intelligence (Radio Edit) - Video

How does Artificial Intelligence improve IT

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How does Artificial Intelligence improve IT - Video

What is Artificial Intelligence

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What is Artificial Intelligence - Video

In the early 1960s, Hanna-Barbera conceived an animated TV sitcom that imagined a typical American family in 2062: Dad commutes to work in a flying saucer; young Elroy putters to school by pushing buttons on his jet-pack; the women (ahem) shop futuristically. But the real stars of this Jetsonian utopia are the robots. They clean houses, repair appliances, and help raise kids. Others dispense advice. If the creators' predictions come to pass, then we're just 49 years removed from a world in which human minds are virtually indistinguishable from anthropomorphic machines.

If only it were that easy, says Richard Wallace, a computer scientist who has worked in artificial intelligence since the 1990s, when most robots were just inexpensive computers with simple sensors. Back then, Roomba vacuum cleaners were the gold standard. A minimalist gadget that could clean a house by itself was about as much as humans could expect from their technology.

That was around the time Wallace got fixated on the idea of making a robot with a personality and language skills. He'd read a New York Times article about the Loebner Contest, an annual competition launched in 1990 by Hugh Loebner American inventor, prostitution activist, and pariah among scientists (in 1995, MIT professor Marvin Minsky famously offered a $100 "Minsky prize" to anyone who could persuade Loebner to terminate his contest and "spare us the horror of this obnoxious and unproductive publicity campaign.") Loebner has scoured the world for machines that could pass as humans, or that at least have enough comprehension of human language to answer such questions as, "How many plums can you fit in my shoe?" He's a disciple of 20th-century mathematician Alan Turing, whose eponymous Turing Test required a judge to hold conversations with a computer and a human simultaneously, in order to compare the two. A machine could only pass if its responses were indistinguishable from a human's. Loebner's version of the test amounts to a lengthy interrogation conducted via instant-messaging.

But it seems his notion of a truly conversant "chatbot" is still a pipe dream. To this day, Loebner has never handed out a gold or silver medal, because no contender has even come close. But Wallace thinks that he and a small menagerie of Bay Area programmers have a shot. Barring that, they see huge commercial potential in chatbot software, in everything from smartphone language tutorials to entertainment apps to voice-activated "personal assistants" that compete with Siri. For Wallace and his ilk, bots are both an artistic muse and a line of products, and Loebner's contest is a vehicle to help develop them.

Wallace's East Bay company, Pandorabots, runs an open-source web service that allows anyone to create his or her own chatbot by cloning a primitive software language called AIML (Artificial Intelligence Markup Language). Wallace used it to create his own chatbot, called Alice, in the '90s, modeling it on a primitive pattern-recognition program that breaks English down into key words and canned phrases. He used Alice to clinch the Loebner bronze medal in 2000, 2001, and 2004, and now he's offering the prototype out to all fledgling programmers, and encouraging them to give it their own spin.

Ideally, each Pandorabot should have its own personality and backstory (a sassy alien, a nubile teenage girl, Siri if you gave her a pack of cigarettes and the voice of Julie Kavner). The good ones should be adept at making small talk and answering yes-no questions, which account for the majority of what we say to each other, Wallace says. "Humans aren't as original with language as we like to think we are," he says. The better bots should know how to take a theme and expound upon it.

Theoretically, you could create a chatbot to monologue exclusively about its cousin's Bar Mitzvah or its new balsa-wood boat. But you could also program it to know Shakespeare, or provide the entire exegesis of 20-century UK pop music, or dazzle users with SAT vocabulary words. Perhaps it's no surprise that English majors design the best chatbots, according to experts.

Pandorabots holds a "Diva Bots" pageant every March to cherry-pick its protgs, many of which go on to the Loebner finals; this year, three of the four Loebner finalists, including the winner, were on the Pandorabots team. The real contest happens every year in Ireland, and from Wallace's description, it's a kind of artificial intelligence version of Miss America, albeit with a lot of "aggressive questioning." Four judges cross-examine each bot, and its human designer, on a split-screen computer, and try to distinguish which is which. Bots are scored on their ability to speak naturally and exhibit "human" intelligence. Only one ever fooled the judges, and that was because its human confederate tried to cheat by acting as robotic as possible.

This year's (bronze) winner, a big-eyed 'tween 'bot named Mitsuku, seemed only as lifelike as her middle-aged handler, Steve Worswick. Nonetheless, we were intrigued. We decided to visit Mitsuku at her web page to try a little cross-examining of our own. Here's what resulted:

Human: My name is Arlo

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Ask Me Anything: Having a Forced Conversation with an Artificial Intelligence

Facebook may soon understand you as well as someone from your Close Friends list. And by Facebook, I dont mean Mark Zuckerberg or another employee I mean the actual website. The social network formed an eight person research group to develop an artificial intelligence system in order to better understand its users. According to the MIT Technology Review, Facebooks team is assembling an AI using something called deep learning. AI that uses deep learning will process data using simulated neural networks. These networks will interpret and react to data using the same methods a human brain uses, so instead of superficial interpretations of information (like the kind of understanding Siri can glean from your voice commands) the AI will grasp the deeper meaning of actions on the social network.

Deep learning is an endeavor to create a system so sophisticated it can mimic the way a human mind functions in its totality if it works, androids so smart they make IBMs Watson look like a drunk numbskull could be a real possibility. And if it goes awry, well have, um, HAL from 2001: A Space Odyssey, but lets not think about that.

Most particulars of the project remain secret, but heres what we know:

The idea of an artificial intelligence smart enough to intuit which updates readers want to see sounds Skyrim scary. But Facebooks not doing anything new. Google already plunged into this research field with its Google Brain project, an attempt to develop an AI that functions on the same level as a human brain. Googles project is the most ambitious deep learning endeavor thus far, but Microsoft has already dipped its toes in as well, using the theory to develop a real-time English-Mandarin translator. And Facebook needs to hurry, because Chinas dominant online company Baidu just established a research center devoted to the same thing in Silicon Valley and researchers in Japan are using neural networks to control robots.

A basic diagram of how an AI network works, mimicking the human brain.

Since the company is tardy to the tea party on deep leaning, Facebook poached some team members from places with more experience. MarcAurelio Ranzato joined the team from Googles Brain project, and hes an expert on deep learning. And Yaniv Taigman, the co-founder of Face.com (which Facebook owns), is on board, which may speak to plans to fold facial recognition advances into this deep learning project. Lubomir Bourdev is another team member with a background in facial detection, again suggesting that Facebooks AI will begreat at remembering faces.

News Feed continues to suckat the moment. It uses conventional machine learning to show users what it thinks we want to see, and it does a terrible job. Although Facebook continues to tweak its formula to surface updates, what you see on your feed often bears little resemblance to what youd find most interesting on Facebook. Facebooks chief technology officerMike Schroepfer confirmed that this artificial intelligence would aim to help the News Feed improve.The company hasnt figured out a way to make News Feed more utilitarian or interesting, which is why the AI will focus on improving the platforms ability to pull out relevant information from the data barrage.

Although fixing Newsfeed will be a major priority for Facebooks AI, it wont be the only goal. Schroepfer told the MIT Technology Review that the AI might be used to help people manage their photos which makes sense, considering the facial recognition experts on the team. Part of this could be to show certain photos to certain people; i.e. your Cabo photos might not show up in your parents feeds, but will in your college roommates (we can only hope, right?). The Facebook AI will also work on a variety of apps to improve Facebook and projects meant to benefit the general public.

This past year, Facebook started asking you more than just what you were doing or thinking about in the status update box; it also wanted to know how you were feeling. The AI Facebook is developing will take this a step further, because the site wants to be able to know what the inflection and emotion behind your posts is; things like sarcasm are hard (for a computer and some people) to read, and funny-sarcastic post that gets 20 comments and likes might not initially get the right News Feed treatment because Facebook just didnt get it.

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Nobody panic! Facebook’s artificial intelligence just wants to know how you’re feeling