Lec 2: Turing Test, Artificial Intelligence - Alan Blair UNSW 2012
Lecture 2 for the course COMP3411 Artificial Intelligence, given by Alan Blair at UNSW in 2012. Course materials at http://www.cse.unsw.edu.au
By: Alan Blair
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Lec 2: Turing Test, Artificial Intelligence - Alan Blair UNSW 2012 - Video
By simulating 25,000 generations of evolution within computers, Cornell University engineering and robotics researchers have discovered why biological networks tend to be organized as modules a finding that will lead to a deeper understanding of the evolution of complexity.
The new insight also will help evolve artificial intelligence, so robot brains can acquire the grace and cunning of animals.
From brains to gene regulatory networks, many biological entities are organized into modules dense clusters of interconnected parts within a complex network. For decades biologists have wanted to know why humans, bacteria and other organisms evolved in a modular fashion. Like engineers, nature builds things modularly by building and combining distinct parts, but that does not explain how such modularity evolved in the first place. Renowned biologists Richard Dawkins, Gnter P. Wagner, and the late Stephen Jay Gould identified the question of modularity as central to the debate over "the evolution of complexity."
For years, the prevailing assumption was simply that modules evolved because entities that were modular could respond to change more quickly, and therefore had an adaptive advantage over their non-modular competitors. But that may not be enough to explain the origin of the phenomena.
The team discovered that evolution produces modules not because they produce more adaptable designs, but because modular designs have fewer and shorter network connections, which are costly to build and maintain. As it turned out, it was enough to include a "cost of wiring" to make evolution favor modular architectures.
This theory is detailed in "The Evolutionary Origins of Modularity," published today in the Proceedings of the Royal Society B by Hod Lipson, Cornell associate professor of mechanical and aerospace engineering; Jean-Baptiste Mouret, a robotics and computer science professor at Universit Pierre et Marie Curie in Paris; and by Jeff Clune, a former visiting scientist at Cornell and currently an assistant professor of computer science at the University of Wyoming.
To test the theory, the researchers simulated the evolution of networks with and without a cost for network connections.
"Once you add a cost for network connections, modules immediately appear. Without a cost, modules never form. The effect is quite dramatic," says Clune.
The results may help explain the near-universal presence of modularity in biological networks as diverse as neural networks such as animal brains and vascular networks, gene regulatory networks, protein-protein interaction networks, metabolic networks and even human-constructed networks such as the Internet.
"Being able to evolve modularity will let us create more complex, sophisticated computational brains," says Clune.
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Researchers solve biological mystery and boost artificial intelligence
Public release date: 29-Jan-2013 [ | E-mail | Share ]
Contact: Blaine Friedlander bpf2@cornell.edu 607-254-8093 Cornell University
ITHACA, N.Y. By simulating 25,000 generations of evolution within computers, Cornell University engineering and robotics researchers have discovered why biological networks tend to be organized as modules a finding that will lead to a deeper understanding of the evolution of complexity. (Proceedings of the Royal Society, Jan. 30, 2013.)
The new insight also will help evolve artificial intelligence, so robot brains can acquire the grace and cunning of animals.
From brains to gene regulatory networks, many biological entities are organized into modules dense clusters of interconnected parts within a complex network. For decades biologists have wanted to know why humans, bacteria and other organisms evolved in a modular fashion. Like engineers, nature builds things modularly by building and combining distinct parts, but that does not explain how such modularity evolved in the first place. Renowned biologists Richard Dawkins, Gnter P. Wagner, and the late Stephen Jay Gould identified the question of modularity as central to the debate over "the evolution of complexity."
For years, the prevailing assumption was simply that modules evolved because entities that were modular could respond to change more quickly, and therefore had an adaptive advantage over their non-modular competitors. But that may not be enough to explain the origin of the phenomena.
The team discovered that evolution produces modules not because they produce more adaptable designs, but because modular designs have fewer and shorter network connections, which are costly to build and maintain. As it turned out, it was enough to include a "cost of wiring" to make evolution favor modular architectures.
This theory is detailed in "The Evolutionary Origins of Modularity," published today in the Proceedings of the Royal Society by Hod Lipson, Cornell associate professor of mechanical and aerospace engineering; Jean-Baptiste Mouret, a robotics and computer science professor at Universit Pierre et Marie Curie in Paris; and by Jeff Clune, a former visiting scientist at Cornell and currently an assistant professor of computer science at the University of Wyoming.
To test the theory, the researchers simulated the evolution of networks with and without a cost for network connections.
"Once you add a cost for network connections, modules immediately appear. Without a cost, modules never form. The effect is quite dramatic," says Clune.
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Cornell engineers solve a biological mystery and boost artificial intelligence
Artificial intelligence - defined
Artificial intelligence is an area of computer science concerned with designing smart computer systems. Artificial intelligence systems exhibit the characteristics generally associated with intelligence in human learning, reasoning, and solving problems. - created at http://www.b2bwhiteboard.com
By: B2Bwhiteboard
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Higher Computing 2012 Artificial Intelligence AI Trace Questions
Find Past Papers here: http://www.sqa.org.uk Higher Computing Artificial Intelligence Section 3 encompasses on questions on AI, including traces using a knowledge base to show how a system evaluates queries. With practice you should be able to pick up the marks easily as the questions are very similar each year.
By: mrcmcalpine
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Higher Computing 2012 Artificial Intelligence AI Trace Questions - Video
Artificial Intelligence Kong
im actually making vids again too so cool lol
By: MarshmarityALT
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NHL 13 #39;s GREATLY Improved Artificial Intelligence
I #39;d say they #39;ve just about nailed it...
By: M0NTY26
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Peter Satera: Artificial Intelligence Evolved
Free Download:www.newgrounds.com Probably one of the best classical pieces by anyone on Newgrounds I #39;ve seen so far. Awesome track. All credit goes to Peter Satera. This video has been uploaded for entertainment purposes.
By: Toondude10
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Groundbreaking new artificial intelligence from DARPA
By: Altimor0
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Groundbreaking new artificial intelligence from DARPA - Video
Misc. Reviews #3 : Radica 20Q Artificial Intelligence Game!
I hope you guys like this series! If you don #39;t, well, I hope you enjoy at least one of my series. Thanks for watching! Misc. Reviews #2: http://www.youtube.com
By: evilninjaz99
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Misc. Reviews #3 : Radica 20Q Artificial Intelligence Game! - Video
Students from five states are competing in a robotics challenge hosted by Penn State York, and the public is invited to watch for free.
Penn State York engineering students Ben Reinke of Stewartstown, left, and Jamison Taormino of York construct the ring that will be used during Saturday's FIRST Tech Challenge, a robotics competition for grades 7-12. (DAILY RECORD/SUNDAY NEWS - KATE PENN)
More than 350 middle- and high-school students from at least five states, including Pennsylvania, will gather at Penn State York Saturday to put their artificial intelligence to work.
"It's the most amazing thing you've ever witnessed in your life," said Marshall F. Coyle, associate professor of engineering, of the quality of competition at the annual robotics challenge hosted by the college.
This is the third year the competition, the FIRST Tech Challenge, has been held at Penn State York. Saturday's contest is the South Central Pennsylvania Regional Qualifier, the winners of which will go on to compete in the state championship. A world championship will be held in St. Louis.
The
Penn State York engineering students John Dagostino of Jarrettsville, Md., left, and Andrew Callaghan of York construct the ring that will be used during Saturday's FIRST Tech Challenge, a robotics competition for grades 7-12, at Penn State York Friday. (DAILY RECORD/SUNDAY NEWS - KATE PENN)
Barbara H. Dennis, coordinator of publications and promotions at Penn State York, said the students want to win, but the focus is on "gracious professionalism."
"Teams that want to win, they're socializing, talking to one another, helping one another," Dennis said.
Coyle referenced a team from Phoenixville, Pa., in Chester County, helping a team from York two years ago.
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Students to test who's got the smartest artificial intelligence at Saturday's event
RP6 robot solves a maze with Artificial Intelligence
The RP6 Robot solves a maze. The program is a (so called) production system, which is used in the field of AI. The actions of the robot are codes in a rule basis. The current action lays on the top of the goal stack. During the search, the Robot ist oriented to the left wall. The robot speaks in German language. It calibrates the line sensor regularly to find the walls of the maze. program download: http://www.kaffka.eu
By: saturnatsky
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RP6 robot solves a maze with Artificial Intelligence - Video
Aaron Sloman - Artificial Intelligence - Psychology - Oxford Interview
Interview at St Anne #39;s College Oxford. Conference: Winter Intelligence put on by the Future of Humanity Institute. Aaron Sloman is a philosopher and researcher on artificial intelligence and cognitive science. He is the author of several papers on philosophy, epistemology and artificial intelligence. He held the Chair in Artificial Intelligence and Cognitive Science at the School of Computer Science at the University of Birmingham, and before that a chair with the same title at the University of Sussex. He is now working with biologist Jackie Chappell on the evolution of intelligence and is Honorary Professor of Artificial Intelligence and Cognitive Science at Birmingham. He is a Fellow of Association for the Advancement of Artificial Intelligence, Society for the Study of Artificial Intelligence and the Simulation of Behaviour and European Coordinating Committee for Artificial Intelligence. Sussex University awarded him an honorary Doctorate of Science in July 2006. Aarons Homepage: http://www.cs.bham.ac.uk
By: Adam Ford
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Aaron Sloman - Artificial Intelligence - Psychology - Oxford Interview - Video
Artificial Intelligence Trap by General ft LeadCoops 1
editors channel http://www.youtube.com
By: LeadCoops
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Artificial Intelligence Trap by General ft LeadCoops 1 - Video
LGWI - Fallout 033 (Artificial Intelligence)
This discovery sure comes with little fanfare, all things considered.
By: GrimithR
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January 15, 2013, 2:53 AM PST
Takeaway: For decades pundits have been describing optical fibre networks as the nervous system of the planet, but none could have guessed just how prophetic that would be.
Written on UA931 flying London to San Francisco and despatched to Tech Republic @ 10.5Mbit/s from Seattle three days later.
Its not just the linking of cities, towns, villages, offices and homes, or indeed the coupling of IT equipment, internal rack wiring, and chip to chip communication that make optical fibre so unique and so vital a component of our future. There is much more to the linking of everything.
Obviously, bandwidth and connectivity matters for people and commerce. As an essential element of any modern civilisation, it now differentiates the First, Second and Third Worlds as a key part of the infrastructure along with roads, rail, air, energy and water. But the importance of this connectivity to the machines, and therefore us, is going to be even greater.
It turns out that sensors and sensor networks are not only vital for the managing of future resources in industry and farming, they will be core to our very existence in terms of health, care, logistics and commerce in the broadest sense.
Our gadgets, domestic appliances, homes, office and cars already utilise sensors, and many are online and feeding information about us and our environment back to numerous invisible bodies. This trend will accelerate as we move toward smart manufacture, supply, energy, offices, homes and living.
Paranoia and Big Brother aside there is another angle here in the direction of Artificial Intelligence (AI). In the equation of smarts it turns out that sensors and their interconnectivity outguns the importance of memory and processing power. In short:
And a confederation of sensors is even more powerful than the singular. For example; we hear, see, feel, smell and taste in combination to elicit the best information we can about a situation or event. That combinatorial sensing is now finding its way into the artificial sensor world we are building. A world that has multiple AIs as a default future!
At this point I should point out that this is highly unlikely to be some form of SkyNet from The Terminator; more a network of independent and distributed intelligence embracing us and the planet. A global jelly fish if you will! Much more than the AI that controls your car engine, the elevator scheduling, aircraft you fly in, or the production line that provides your food, but much less than some global malevolence determined to take over the planet.
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artificial intelligence chatbots and people talk to each other
Bvhs Ai Project chatbots and people talk to each other http://www.chatbots-collection.webs.com
By: michael lawrence
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artificial intelligence chatbots and people talk to each other - Video
Jan. 11, 2013 The computer engineer Susana Ferreiro has produced a thesis entitled 'Contributions towards the diagnosis and prognosis of industrial problems by means of Supervised Classification Techniques' ('Aportacionespara el diagnstico y pronstico en problemasindustrialesmediantetcnicas de ClasificacinSupervisada').This work has been developed at the IK4-TEKNIKER R+D centre under the supervision of the EHU/UPV lecturer Basilio Sierra-Araujo (Head of the Department of Robotics and Autonomous Systems of the Computing Faculty in Donostia-San Sebastian).The aim of the research in this thesis has been to apply artificial intelligence techniques, data mining and machine learning to problems linked to the aeronautics industry."These are algorithms and classifying models that extract information from large volumes of data and infer knowledge on the basis of these data," explains Ferreiro.
Specifically, three problems have been studied through these techniques:aircraft brake wear prognosis for predictive maintenance, the prediction of the appearance of burrs during the drilling process in the manufacture of components, and the prediction of the basicity number (BN) of oil on the basis of spectroscopic data.
Aircraft brake wear prognosis
The ultimate aim was to cut the costs of aircraft line maintenance, in other words, the maintenance carried out after landing between one flight and the next,by deferring it to a more convenient time and place.The study also sought to reduce waiting times between flights and ensure punctuality when eliminating the delays caused by current corrective maintenance."A series of components of the aircraft are usually checked between one flight and the next.Sometimes an unanticipated problem arises; so the aim is to have an estimate of the wear of certain components to anticipate all the resources that are going to be necessary," says Ferreiro."The aim is also to optimize airline routes because sometimes there is an interest in having the maintenance done in a specific country, and what is needed for this is the forward planning of the state of the aircraft."This line of research came out of the European TATEM project.
Predicting the appearance of drilling burrs
This problem has to do with the manufacturing process.When the components are manufactured, a check needs to be done to make sure that the burr, the notch, that has come away during the drilling,does not exceed 127 microns as specified by the aeronautics industry. "We have developed a process using the internal signals of the machine which detects in real time when the limit has been exceeded," explains Ferreiro.Normally, after drilling, a process is always applied to eliminate the remaining burr, but thanks to this study, the process would be applied only when the limit is exceeded.This part of the research was started in the ARKUNE project.
Prediction of the basicity number (BN) of the oil on the basis of spectroscopic data
This problem affects the measuring of the oil degradation level."The basicity number (BN) is used to estimate what state it is in:whether it is satisfactory, whether it needs to be monitored because it has started to degrade, or whether it needs to be replaced," says the author.The aim of the research was to obtain a model for detecting the BN state to be able to make an assessment on the degradation state of the oil without having to run a laboratory test.The obtaining of the BNusing laboratory equipment is an assessment involvingperchloric acid, a very expensive task not only in terms of equipment and material, but also in terms of personnel and time.The idea developed in this thesis is to replace this method of analysis by near infrared FTIR spectrometry.With this method, "it is possible to develop a sensor and incorporate it into the machine and in what is being monitored without having to run a lab test," explains Ferreiro.
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Artificial intelligence techniques for optimizing processes in the aeronautics industry
Chatty Bot - Free Artificial Intelligence Chat Bot App for Android
play.google.com Free Chat Bot for Android Chat with Lola, the artificially intelligent (AI) bot. Have a chat with an artificially intelligent (AI) bot. Available on Google Play play.google.com
By: SndApps
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Chatty Bot - Free Artificial Intelligence Chat Bot App for Android - Video
Magnus Olsson: Nano-Brain-Implant Technologies and Artificial Intelligence
Magnus Olsson is blowing our mind away in the speech he held in Stockholm, Sweden, in September 2012. Seven years ago, Magnus became a victim of non-consensual experimentation after having visited a hospital. He was sedated and when he woke up; he couldn #39;t recognize himself. His personality had changed. On his own homepage (mindcontrol.se) he explains some years ago: "For me, there was a day in life when everything changed. I went from a life as a citizen in a demo map indicative country into a world where violence and torture was the norm. It was not a journey across continents, but in life circumstances. It also included a science fiction drama that completely shattered my life. My name is Magnus Olsson; I am 38 years old, studied economics at the Cesar Ritz in Switzerland, American University of Paris and Harvard, Boston, USA, during the years 1988-1991. 1994 I started the company Jon Sandman who became a well-known brand in the bedding industry. I managed with my life and had also met a wonderful woman whom I had two children with. They are now 13 to 16 years old. But all this harmony and success came to a sudden end. It happened five and a half years ago. After that, life has been about a constant struggle for survival. In order to cope with but also to be able to tell what has happened to me and get out of the nightmare." Magnus Olsson used to be a very successful businessman. Not only is Magnus highly educated, but he also had a very successful career: as an ...
By: unitedtis
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Magnus Olsson: Nano-Brain-Implant Technologies and Artificial Intelligence - Video