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Category Archives: Artificial Intelligence

Artificial Intelligence in Clinical Medicine with Milton Corn, M.D. – Video

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Artificial Intelligence in Clinical Medicine with Milton Corn, M.D.
A myriad of focused applications have been introduced into clinical medicine, including clinical decision support, pattern recognition, data analysis and others important to patient care. In...

By: Biomedical Computing Interest Group

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Artificial Intelligence in Clinical Medicine with Milton Corn, M.D. - Video

Marrying AI and neuroscience to improve recommendation services

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Nara Logics specialises in artificial intelligence and in analysing how the brain works as a basis for its personalised recommendation systems for companies.

The challenge that the Nara Logics founders set themselves when they launched the company back in 2010 was to understand how the brain works in order to be able to offer closely-tailored personalised recommendations. The Cambridge, Massachusetts-based startup, which specialises in artificial intelligence (AI), has neuroscientists from MIT and machine learning experts on the team. In 2012, the startup launched its recommendation and personalisation customer application platform Nara.me, which goes somewhat further that the simple recommendation services provided by such firms as Yelp and Foursquare and is designed to help you find a restaurant or hotel that suits your recorded tastes.

The companys new president Jana Eggers, whom LAtelier met up with during the Lean Startup Conference in San Francisco in mid-December, told us about Nara Logics future plans. Following the initial platform targeted at end consumers, the firm is now pivoting more towards licensing its recommendation engine and underlying AI software to businesses. In fact, ever since Nara.me was launched, corporates have been asking the company to design a platform specifically for their business sector. So Nara Logics is now shifting into B2B mode.

Today Nara Logics offers unique recommendation technology to a range of companies in the payments, e-commerce and tourism fields. The startups algorithm is able to analyse companies big data and establish logical connections that create the link between what consumers want and what companies have to offer. However, it is vital that Nara Logics corporate clients maintain a constant flow of analysable data so that the workings of the brain and the various connections it makes can be transposed to best advantage, explained Jana Eggers.

In the end all the data is gathered together on a knowledge graphic for each company, highlighting the digital DNA of its customers, i.e. their preferences in terms of search and personalisation. If you have a preference for a particular restaurant but your friend has a different preference, s/he will receive different recommendations from your because your digital DNA just isnt the same, points out the Nara Logics president. This type of analysis will give companies a better handle on their customers behaviour. The novel feature of the Nara algorithm is that it seeks to capture the interactions influencing customer behaviour from a neuroscience viewpoint.

As technologies such as deep learning, image recognition and predictive APIs become more widespread, they are boosting the capacity of computers and IT systems to seriously disrupt all kinds of industries. AI is also a technology that is gradually revolutionising industry. A lot of research has been done into the way machines work, but very few firms have looked into the way the brain works. Thats where neuroscience comes into what were doing, explained Eggers, adding that the goal of Nara Logics is to bring real intelligence into artificial intelligence.

However, as yet there are very few neuroscientists working in business. Eggers points out that neuroscience is still quite a young field of enquiry and that there is not as yet enough documentation on the workings of the brain to be able to create a fully neuroscience-based approach to AI. The algorithm that Nara Logics uses is based on studies published just a few years ago. Going forward, the company intends to improve its technology by working with people from different fields who have already tried other AI systems unsuccessfully and are now ready to test the new personalised recommendation technology.

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Marrying AI and neuroscience to improve recommendation services

Super Mario Becomes Artificially Intelligent

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Mamma mia! Super Mario has come to life with a dose of artificial intelligence.

German researchers released a new video showing how they have given the popular Nintendo character an awareness of his environment, thoughts and the ability to act on verbal commands to play his game.

Called "Mario Lives," the project was developed by a team at the University of Tbingen in Germany for the Association for the Advancement of Artificial Intelligence's annual video contest.

"Mario, how do you feel?" a woman asks in the video.

"I feel very good," Mario replies.

Mario's voice is computer generated. It doesn't sound like Charles Martinet, the guy who voiced him and his pal, Luigi, in the original video game, however the ease with which he responds in the "Mario Lives" video is impressive.

The cheery character isn't "good" all of the time. He maintains internal emotive states that account for curiosity, happiness, hunger and fear -- all of which can be affected by Mario's environment.

Mario's replies are not scripted, according to the researchers, who said he has the ability to continually get smarter.

When asked about his nemesis Goomba, Mario at first says he does not know anything. However, after learning that Goomba can be killed when Mario jumps on him, Mario is later able to repeat this fact.

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Super Mario Becomes Artificially Intelligent

Mario Lives! An Adaptive Learning AI Approach for Generating a Living and Conversing Mario Agent – Video

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Mario Lives! An Adaptive Learning AI Approach for Generating a Living and Conversing Mario Agent
Mario Lives! An Adaptive Learning AI Approach for Generating a Living and Conversing Mario Agent Stephan Ehrenfeld, Fabian Schrodt, Prof. Dr. Martin V. Butz Cognitive Modeling, Department...

By: AAAI Video Competition

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Mario Lives! An Adaptive Learning AI Approach for Generating a Living and Conversing Mario Agent - Video

Amanda Dittami @ Kollision Con 2015 "Artificial Intelligence vs. Artificial Consciousness" – Video

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Amanda Dittami @ Kollision Con 2015 "Artificial Intelligence vs. Artificial Consciousness"
Amanda Dittami @ Kollision Con 2015 "Artificial Intelligence vs. Artificial Consciousness" || http://adittami.com Embracing the nature of the presentation #39;s ...

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Amanda Dittami @ Kollision Con 2015 "Artificial Intelligence vs. Artificial Consciousness" - Video

Artificial-Intelligence Experts to Explore Turing Test Triathlon

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Illustration: Konstantin Inozemtsev/Getty Images

It was billed as an epochal event in humanitys history: For the first time a computer had proved itself to be as smart as a person. And befitting the occasion, the June story generated headlines all around the world. In reality, it was all a cheesy publicity stunt orchestrated by an artificial-intelligence buff in England. But there was an upside. Many of the worlds best-known AI programmers were so annoyed by the massive coverage, which they deemed entirely misguided, that they banded together. They intend to make sure the world is never fooled by false AI achievement again. The result is a daylong workshop, Beyond the Turing Test, where attendees aim to work out an alternative to the current test. The workshop will be held this coming Sunday in Austin at the annual convention of the Association for the Advancement of Artificial Intelligence.

Whether a particular computer program is intelligent, as opposed to simply being useful, is arguably an unanswerable question. But computer scientists have nonetheless been asking it ever since 1950, when Alan Turing wrote Computing Machinery and Intelligence and proposed his now-famous test. The test is like a chat session, except the human doesnt know if its a computer or a fellow person on the other end. A computer that can fool the human can be adjudged to be intelligent or, as Turing put it, thinking.

In the early days of AI, the test was considered by scientists to be too far beyond the current capabilities of computers to be worth worrying about. But then came chatbot programs. Without using anything that could be described as intelligence, they use key words and a few canned phrases well enough to persuade the unaware that theyre having a real conversation with a flesh-and-blood human. This genre of programs has been fooling some folks for decades, including this past summer, when Eugene Goostman, a chatbot program pretending to be a 13-year-old Ukrainian boy, persuaded a handful of people in England that it was a real boy. (The program was undoubtedly aided by peoples assumption that they were speaking to a disaffected teen with limited English language skills.)

The Goostman win was trumpeted widely in the media, to the enormous chagrin of legitimate researchers. Most of them just groused privately, but one, Gary F. Marcus, a New York University research psychologist, used his forum as a contributor to The New Yorker to raise the issue of whether Turings test had become too easy to game, and to urge the AI community to come up with a replacement. To his surprise, researchers from all over the world wrote in offering to help. Wed clearly touched a nerve, says Marcus.

The upshot: Marcus is cochairing the 25 January event, along with Francesca Rossi, of the University of Padova, in Italy, and Manuela Veloso of Carnegie-Mellon, in Pennsylvania.

Anatomy of an AI Test: Winograd schemas might be a better test of human-level artificial intelligence than the Turing test because they require reasoning about a broad body of knowledge. Each schema has four requirements.

1: Two parties (males, females, groups, objects) are mentioned in a sentence.

2. A pronoun or possessive adjective is used in the sentence to refer to one of the parties, but that word could also refer to the second party.

3. The question involves determining the referent of the pronoun or possessive adjective.

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Artificial-Intelligence Experts to Explore Turing Test Triathlon

Elon Musk aims to prevent rise of the machines as he backs AI research with 6.5m

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Artificial intelligence has the ability to advance a wide range of technologies but AI research needs to be carefully monitored and communicated, according to Musk and several other AI experts, including Stephen Hawking.

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Elon Musk, the billionaire PayPal founder, has donated millions of dollars to ensure the machines dont get too big for their boots and turn against us.

The former SpaceX CEO announced yesterday that he is donating $10 million (6.5 million) to the Future of Life Institute (FLI) to help it run a global research programme aimed at keeping AI beneficial to humanity.

Earlier this week, the man behind the "wacky" Hyperloop transport concept signed an open letter warning against the dangers of uncontrolled development of AI. Other signatories included Stephen Hawking, one of the worlds greatest scientists, and the founders of Google-acquired AI startup, DeepMind.

Musk said: Here are all these leading AI researchers saying that AI safety is important. I agree with them, so Im today committing $10 million to support research aimed at keeping AI beneficial for humanity.

The funding will go towards AI research projects around the world that support the FLIs mission. Beyond scientific research, the money will also be used to fund research in areas likes economics, law, ethics and policy.

The Future of Life portal will open on Monday, allowing academic, industrial and individual researchers to apply for grants to the programme.

Last month Hawking told theBBC:"The development of full artificial intelligence could spell the end of the human race.

"It would take off on its own, and re-design itself at an ever increasing rate," he said."Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded."

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Elon Musk aims to prevent rise of the machines as he backs AI research with 6.5m

Super Mario comes to life in artificial intelligence experiment

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GERMAN GAME RESEARCHERS have given Super Mario artificial intelligence abilities, allowing him to "get to know his own world" by becoming aware of himself and his environment.

The team of cognitive modelling researchers from the University of Tbingen have worked on the project called 'An Adaptive Learning AI Approach for Generating a Living and Conversing Mario Agent' in a bid to win the annual video competition run by the Association for the Advancement of Artificial Intelligence.

The competition, demonstrated in the form of a YouTube video (below), explores how the mind works by focusing on its developmental aspects and the "highly interactive modularity" of the brain.

The researchers conducted studies in behavioural psychology and built computational models of cognitive processes, giving Mario the ability to make his own decisions based on curiosity, happiness and fear.

The programme uses Carnegie Mellon's speech recognition toolkit so that Mario can understand spoken commands.

For example, when phrases from the toolkit's language tree are spoken aloud Mario can choose which actions to take based on what he has learned.

The video depicts this by showing Mario learning what jumping on a goomba will achieve. He doesn't know that doing so will destroy it until he has been told this information or found it out for himself when instructed to destroy an enemy.

"Mario will collect coins if he is hungry, whereas when he is curious he will explore his environment and autonomously gather knowledge about items he does not know much about yet," the researchers explained.

The programme of Cognitive Modeling was known previously as the Cognitive Body Spaces: Learning And Behaviour, or Coboslab.

Coboslab has been developing artificial self-organised cognitive systems for some time, which learn multimodal modular sensorimotor bodyspace representations for effective learning and behaviour.

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Super Mario comes to life in artificial intelligence experiment

Researchers create 'self-aware' Super Mario with artificial intelligence

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By Karissa Bell2015-01-19 22:33:44 UTC

Mario just got a lot a smarter.

A team of German researchers has used artificial intelligence to create a "self-aware" version of Super Mario who can respond to verbal commands and automatically play his own game.

The Mario Lives project was created by a team of researchers out of Germany's University of Tbingen as part of the Association for the Advancement of Artificial Intelligence's (AAAI) annual video competition. Each year the competition showcases videos from researchers and scientists from around the world that demonstrate "exciting artificial intelligence advances in research, education, and application."

The video depicts Mario's newfound ability to learn from his surroundings and experiences, respond to questions in English and German and automatically react to "feelings."

If Mario is hungry, for example, he collects coins. "When he's curious he will explore his environment and autonomously gather knowledge about items he doesn't know much about," the video's narrator explains.

The video also demonstrates Mario's ability to learn from experience. When asked "What do you know about Goomba" that's Mario's longtime enemy in the Super Mario series Mario first responds "I do not know anything about it."

But after Mario, responding to a voice command, jumps on Goomba and kills it, he is asked the question again. This time, he responds "If I jump on Goomba then it maybe dies."

The team behind Mario Lives, from the University of Tbingen's Cognitive Modeling department, used Carnegie Mellon's speech recognition software and principles of psychology to create the new "self-aware" version of Nintendo's famous plumber, according to the video.

BONUS: 20 Nintendo Facts to Blow Your 8-Bit Mind

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Researchers create 'self-aware' Super Mario with artificial intelligence

MrP’s Favorite VGM [252]: The Talos Principle – False God – Video

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MrP #39;s Favorite VGM [252]: The Talos Principle - False God
In TTP, players assume the role of a sentient artificial intelligence placed within a simulation of humanity #39;s greatest ruins and linked together through an arcane cathedral. Players are tasked...

By: Mister Potatoman

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MrP's Favorite VGM [252]: The Talos Principle - False God - Video

MrP’s Favorite VGM [253]: The Talos Principle – Heavenly Clouds – Video

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MrP #39;s Favorite VGM [253]: The Talos Principle - Heavenly Clouds
This is taken directly from the game, not the OST) In TTP, players assume the role of a sentient artificial intelligence placed within a simulation of humanity #39;s greatest ruins and linked...

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MrP's Favorite VGM [253]: The Talos Principle - Heavenly Clouds - Video

MrP’s Favorite VGM [254]: The Talos Principle – The Guardians – Video

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MrP #39;s Favorite VGM [254]: The Talos Principle - The Guardians
This is taken directly from the game, not the OST) In TTP, players assume the role of a sentient artificial intelligence placed within a simulation of humanity #39;s greatest ruins and linked...

By: Mister Potatoman

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MrP's Favorite VGM [254]: The Talos Principle - The Guardians - Video


  1. Artificial Intelligence