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OpenAi - - Creating the standard for Artificial Intelligence

OpenAi - - Creating the standard for Artificial Intelligence
Related:  Intelligence Artificielle

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. Artificial Intelligence Depot 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

Examining the Society of Mind To appear in the journal Computing and Informatics. Push Singh 28 October 2003 push@mit.edu Media Lab Massachusetts Institute of Technology 20 Ames Street Cambridge, MA 02139 United States Abstract This article examines Marvin Minsky's Society of Mind theory of human cognition. The functions performed by the brain are the products of the work of thousands of different, specialized sub-systems, the intricate product of hundreds of millions of years of biological evolution. What is the human mind and how does it work? In seeking answers to these questions, Minsky does not search for a 'basic principle' from which all cognitive phenomena somehow emerge, for example, some universal method of inference, all-purpose representation, or unifying mathematical theory. Minsky introduces the term agent to refer to the simplest individuals that populate such societies of mind. This article examines the Society of Mind theory. The following essay was written by Scott Fahlman (in 1974 or 1973? K-lines.

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[edit] 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[edit] Ancient philosophy[edit] Early forms of Panpsychism can be found in pre-modern animistic beliefs in religions such as Shinto, Taoism, Paganism and Shamanism. Renaissance[edit] Illustration of the Cosmic order by Robert Fludd, the World Soul is depicted as a woman. Contemporary[edit]

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 An Evolutionary Architecture - John Frazer Electronic version of An Evolutionary Architecture An Evolutionary Architecture was published in January 1995 to coincide with an exhibition of the same name at the Architectural Association. It concentrates on the work of Diploma Unit 11 run by John and Julia Frazer (with Pete Silver and Guy Westbrook) between 1989 and 1996, but includes formative work by the author dating back to his diploma prize-winning project at the AA in 1969 and related research work at Cambridge University. The book investigates the fundamental form-generating processes in architecture, considering architecture as a form of artificial life, and proposing a genetic representation in a form of DNA-like code-script, which can then be subject to developmental and evolutionary processes in response to the user and the environment. The aim of an evolutionary architecture is to achieve in the built environment the symbiotic behaviour and metabolic balance found in the natural environment.

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.

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