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Humans are better than machines. However, the advantages of humans over machines have been in steady retreat – we gave up on physical strength first, then on some mental capacities such as computation, and now we’re in the process of conceding machine superiority in mental tasks that used to be considered as evidence of high intelligence. Is there a last stronghold of capabilities machines will never have? This column considers the possibility that this last stronghold is human creativity. 1900 : Machines perform many mathematical operations, but can’t perform complex series of computations where the outcome of one computation determines what computation to perform next. 2007 : Computers are better at chess than just about any human.

Creativity – The Last Human Stronghold? - TFOT

http://www.tfot.info/column/1003/creativity-the-last-human-stronghold.html
http://aaai.org/AITopics/AIOverview Exactly what the computer provides is the ability not to be rigid and unthinking but, rather, to behave conditionally. That is what it means to apply knowledge to action: It means to let the action taken reflect knowledge of the situation, to be sometimes this way, sometimes that, as appropriate. . . . In sum, technology can be controlled especially if it is saturated with intelligence to watch over how it goes, to keep accounts, to prevent errors, and to provide wisdom to each decision. Allen Newell

AI Overview

Most of this site is organized as a single flat html file. The links below let you navigate directly to the various subsections. Publications Research Group Members Teaching and Tutorial Material Professional Bio Educational Background Editorial and Professional Service Press My research interests include topics in machine learning, algorithmic game theory, social networks, computational finance, and artificial intelligence. I often examine problems in these areas using methods and models from theoretical computer science and related disciplines. While the majority of my work is mathematical in nature, I have also participated in a variety of empirical and experimental projects, including applications of machine learning to finance, spoken dialogue systems, and other areas. http://www.cis.upenn.edu/~mkearns/

Home Page for Professor Michael Kearns, University of Pennsylvan

Netflix Prize Results and Source Code

http://www.timelydevelopment.com/Demos/NetflixPrize.htm Overview When I heard about the Netflix Prize , I have to admit that I couldn't resist joining. The stated goal of this contest is to help Netflix improve their movie recommendation system. The team that can beat Netflix's own home-grown collaborative filtering system by 10% will win a million dollars.
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decision-theoretic planning, where many desirable behaviours are more naturally expressed as properties of execution sequences rather than as properties of states, NMRDPs form a more natural model than the commonly adopted fully Markovian decision process (MDP) model. While the more tractable solution methods developed for MDPs do not directly apply in the presence of non-Markovian rewards, a number of solution methods for NMRDPs have been proposed in the literature. These all exploit a compact specification of the non-Markovian reward function in temporal logic, to automatically translate the NMRDP into an equivalent MDP which is solved using efficient MDP solution methods.

Decision-Theoretic Planning with non-Markovian Rewards

http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume25/thiebaux06a-html/thiebaux06a-html.html
http://www.markwatson.com/ I am the author of 16 published books on Artificial Intelligence, Java, Ruby, Common LISP, Semantic Web, NLP, C++, Linux, Scheme, and Windows. I provide consulting services using the following technologies: Artificial Intelligence (AI): over 20 years of experience with data mining, data analytics, machine learning, natural language processing (NLP), text mining, entity extraction, general information extraction from unstructured data, and expert systems. Graph databases, Semantic Web and Linked Data: RDF/RDFS/RDF++/OWL modeling and ontology development. Tools: Neo4J, Sesame, AllegroGraph, Redland, and Protégé. NoSQL data stores: MongoDB, CouchDB, BigCouch, Redis, HBase, and Amazon DynamoDB.

Mark Watson, Java Consultant and Author

Edge

What we're missing now, on another level, is not just biology, but cosmology. People treat the digital universe as some sort of metaphor, just a cute word for all these products. The universe of Apple, the universe of Google, the universe of Facebook, that these collectively constitute the digital universe, and we can only see it in human terms and what does this do for us? http://www.edge.org/
SIMBRAIN is a free tool for building, running, and analyzing neural-networks (computer simulations of brain circuitry). Simbrain aims to be as visual and easy-to-use as possible. See our design goals . Unique features of Simbrain include its integrated "world components" and its ability to represent a network's state space. Simbrain is written in Java and runs on Windows, Mac OS X, and Linux. http://www.simbrain.net/

Simbrain

Natural Language Processing enables communication between people and computers and automatic translation to enable people to interact easily with others around the world. Progress on building computer systems that process natural language in any meaningful sense requires considering language as part of a larger communicative situation. Regarding language as communication requires consideration of what is said (literally), what is intended, and the relationship between the two. The value to our society of being able to communicate with computers in everyday natural language cannot be overstated. Imagine asking your computer "Does this candidate have a good record on the environment?"

Natural Language Processing

http://aaai.org/AITopics/NaturalLanguage
http://ai-depot.com/articles/category/essay/ « Previous Entries Wednesday, July 9th, 2003 Any particular test of intelligence is destined to be biased towards certain abilities. This article searches for a new method to establish sentience by means of randomness instead. A personal view on the differences and similarities between humans and AI, underlining the need for machines capable of emotions in modern society.

Latest Essays - Artificial Intelligence De

Ian Clarkes blog

Sign up and pick a username, let's say you pick "joesmith". Now, any email address ending with ...@joesmith.33mail.com will be forwarded to you. The next time you visit a website that asks for your email address, instead of giving them your real email address, just make one up especially for them .

Kevin Warwick - Home Page

Kevin Warwick is Professor of Cybernetics at the University of Reading, England, where he carries out research in artificial intelligence, control, robotics and biomedical engineering. He is a Chartered Engineer (CEng.) and is a Fellow of The Institution of Engineering & Technology (FIET). He is the youngest person ever to become a Fellow of the City & Guilds of London Institute (FCGI).
Gnod is my experiment in the field of artificial intelligence. Its a self-adapting system, living on this server and 'talking' to everyone who comes along. Gnods intention is to learn about the outer world and to learn 'understanding' its visitors. This enables gnod to share all its wisdom with you in an intuitive and efficient way.

Gnod - The global network of dream

Self Organizing Map AI for P

Introduction this article is about creating an app to cluster and search for related pictures. i got the basic idea from a Longhorn demo in which they showed similar functionality. in the demo, they selected an image of the sunset, and the program was able to search the other images on the hard drive and return similar images. there are other photo library applications that offer similar functionality. honestly ... i thought that was pretty cool, and wanted to have some idea how they might be doing that. internally, i do not know how they actually operate ... but this article will show one possibility. also writing this article to continue my AI training Kohonen SOM