Rethinking artificial intelligence The field of artificial-intelligence research (AI), founded more than 50 years ago, seems to many researchers to have spent much of that time wandering in the wilderness, swapping hugely ambitious goals for a relatively modest set of actual accomplishments. Now, some of the pioneers of the field, joined by later generations of thinkers, are gearing up for a massive “do-over” of the whole idea. This time, they are determined to get it right — and, with the advantages of hindsight, experience, the rapid growth of new technologies and insights from the new field of computational neuroscience, they think they have a good shot at it. The new project, launched with an initial $5 million grant and a five-year timetable, is called the Mind Machine Project, or MMP , a loosely bound collaboration of about two dozen professors, researchers, students and postdocs. It is widely accepted that AI has failed to realize many of those lofty early promises. Fixing what’s broken The big picture
Software By Robert L. Akers, Ion Bica, Elaine Kant, Curt Randall, and Robert L. Young. AI Magazine 22(2): Summer 2001, 27-42. Interview d’Elon Musk, l’homme qui veut empêcher les machines de prendre le pouvoir En créant OpenAI, une équipe de recherche à but non lucratif, Musk et Y Combinator espèrent limiter les risques de dérive en matière d’intelligence artificielle. Comme si le domaine de l’intelligence artificielle (IA) n’était pas déjà assez compétitif – avec des géants comme Google, Apple, Facebook, Microsoft et même des marques automobiles comme Toyota qui se bousculent pour engager des chercheurs –, on compte aujourd’hui un petit nouveau, avec une légère différence cependant. Il s’agit d’une entreprise à but non lucratif du nom d’OpenAI, qui promet de rendre ses résultats publics et ses brevets libres de droits afin d’assurer que l’effrayante perspective de voir les ordinateurs surpasser l’intelligence humaine ne soit pas forcément la dystopie que certains redoutent. L’équipe d’OpenAICrédits : OpenAI Les fonds proviennent d’un groupe de sommités du monde de la tech, parmi lesquels Elon Musk, Reid Hoffman, Peter Thiel, Jessica Livingston et Amazon Web Services. Tout public Altman : Non.
Watson Is Now Commercially Available, Set To Help Doctors Treat Cancer [Source: ibmbusinessanalytics via YouTube] IBM’s most promising medical student just graduated and is ready to join the workforce and help people – in the fight against cancer, to be specific. IBM has just released a commercially available Watson whose cognitive computing could help doctors make better diagnoses and smarter treatment choices. IBM has partnered with WellPoint, Inc. and Memorial Sloan-Kettering Cancer Center to train Watson in oncology and utilization management. A team of clinicians and technicians spent thousands of hours “teaching” Watson how to process, analyze, and interpret complex clinical information through natural language processing. The hope is that Watson can help raise the quality of healthcare and make it more efficient. Watson brings its ability to process huge amounts of information to evidence-based medicine. [Source: ibmphoto24 via flickr] “It can take years for the latest developments in oncology to reach all practice settings,” Craig B.
cool open source ai projects Archive for the ‘cool open source ai projects’ Category DeepBeliefSDK This is very cool, iOS video image recognition. I am totally convinced that deep learning approaches to hard AI are going to change our world, especially when they’re running on cheap networked devices scattered everywhere. I’m a believer because I’ve seen how good the results can be on image recognition, but I understand why so many experienced engineers are skeptical. GitHub, DeepBeliefSDK Java Neural Network Framework Neuroph Neuroph is lightweight Java neural network framework to develop common neural network architectures. Neuroph Net Logo NetLogo is a multi-agent programmable modeling environment. Net Logo Udacity Sebastian Thrun enjoyed teaching his Stanford AI class online so much he left to start an online, free computer science university. We believe university-level education can be both high quality and low cost. Udacity PERL Data Language Scientific Computing with PERL
Panpsychism In philosophy, panpsychism is the view that mind or soul (Greek: ψυχή) is a universal feature of all things, and the primordial feature from which all others are derived. The panpsychist sees him or herself as a mind in a world of minds. Panpsychism is one of the oldest philosophical theories, and can be ascribed to philosophers like Thales, Plato, Spinoza, Leibniz and William James. Panpsychism can also be seen in eastern philosophies such as Vedanta and Mahayana Buddhism. Etymology The term "panpsychism" has its origins with the Greek term pan, meaning "throughout" or "everywhere", and psyche, meaning "soul" as the unifying center of the mental life of us humans and other living creatures History Ancient philosophy Early forms of Panpsychism can be found in pre-modern animistic beliefs in religions such as Shinto, Taoism, Paganism and Shamanism. Renaissance Illustration of the Cosmic order by Robert Fludd, the World Soul is depicted as a woman. Contemporary
A new era of cognitive computing IBM says it is possible to build a new computing architecture that is more human-like and biologically inspired than traditional systems. After a year of “medical school”, IBM’s intelligent supercomputer, Watson, has produced its first commercially available applications for doctors and health insurance companies. Now that Watson is proving itself in the medical field, the door is being flung open for other industries and a new era of cognitive computing. According to IBM, Watson’s performance has improved by 240% since it rose to prominence by beating the reigning human champions at the popular US quiz show, Jeopardy, two years ago. Speaking at an open lecture at Wits University recently, IBM’s senior VP and director of IBM Research, Dr John Kelly, said the original intention with Watson was to create a system that would be “as good as humans” at answering any question in any domain. Kelly emphasises that Watson, at its core, is a learning machine. Living in a big data world Dr Watson?
Alicebot The Coming Technological Singularity ==================================================================== The Coming Technological Singularity: How to Survive in the Post-Human Era Vernor Vinge Department of Mathematical Sciences San Diego State University (c) 1993 by Vernor Vinge (Verbatim copying/translation and distribution of this entire article is permitted in any medium, provided this notice is preserved.) This article was for the VISION-21 Symposium sponsored by NASA Lewis Research Center and the Ohio Aerospace Institute, March 30-31, 1993. It is also retrievable from the NASA technical reports server as part of NASA CP-10129. A slightly changed version appeared in the Winter 1993 issue of _Whole Earth Review_. Abstract Within thirty years, we will have the technological means to create superhuman intelligence. Shortly after, the human era will be ended.
RoboEarth [Artificial Intelligence] Knowledge-Exchange between Robots The purpose of the RoboEarth project is to create a giant network through which robots and their programmers can easily share information about actions and the world. Similar to what the World Wide Web has done for humans, RoboEarth will enable robotic systems to benefit from the experience of other robots in a way that can be easily translated to their own case. Data stored in RoboEarth include software components, environment maps, task knowledge, and object recognition models. Our role in the RoboEarth consortium is to investigate knowledge representation and mechanisms for uploading, exchanging and applying action recipes. For more information and news, visit www.roboearth.org Partners: This project has received funding from the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement number 248942 RoboEarth.
Strong AI (open source) - Devmaster Hi’ there… Anyone with an interest in AI and knows C++ ?? The basic concept in the “game” we are constructing is as follows: You have an aquarium filled with 3 types of insects. Our test-implementation (Colline) shows that this is feasible without too much effort, which means that we are ready to start with the actual implementation which should show faster and more organized code, better graphics etc.. Our interest in the project is partly an interest in AI, partly an interest in the philosophical and existential parallels that the system has… but another approach to the system could be that you find it amusing to co-create a small minituare-world! Our geographical base is Denmark/Aalborg, but everybody is welcome to download our background-theory, as well as software and see what further development can do ( ). Feel free to post any comments, questions, etc… /tino
The AI Revolution: Our Immortality or Extinction Note: This is Part 2 of a two-part series on AI. Part 1 is here. PDF: We made a fancy PDF of this post for printing and offline viewing. Buy it here. We have what may be an extremely difficult problem with an unknown time to solve it, on which quite possibly the entire future of humanity depends. — Nick Bostrom Welcome to Part 2 of the “Wait how is this possibly what I’m reading I don’t get why everyone isn’t talking about this” series. Part 1 started innocently enough, as we discussed Artificial Narrow Intelligence, or ANI (AI that specializes in one narrow task like coming up with driving routes or playing chess), and how it’s all around us in the world today. This left us staring at the screen, confronting the intense concept of potentially-in-our-lifetime Artificial Superintelligence, or ASI (AI that’s way smarter than any human, across the board), and trying to figure out which emotion we were supposed to have on as we thought about that.← open these So where does that leave us? i.e.
How to Create a Mind How to Create a Mind: The Secret of Human Thought Revealed is a non-fiction book about brains, both human and artificial, by inventor and futurist Ray Kurzweil. First published in hardcover on November 13, 2012 by Viking Press it became a New York Times Best Seller. It has received attention from The Washington Post, The New York Times and The New Yorker. Kurzweil describes a series of thought experiments which suggest to him that the brain contains a hierarchy of pattern recognizers. Based on this he introduces his Pattern Recognition Theory of Mind. He says the neocortex contains 300 million very general pattern recognition circuits and argues that they are responsible for most aspects of human thought. He also suggests that the brain is a "recursive probabilistic fractal" whose line of code is represented within the 30-100 million bytes of compressed code in the genome. Critics felt the subtitle of the book, The Secret of Human Thought Revealed, over promises. Background