Topic:Artificial intelligence Artificial Intelligence Part of the School of Computer Science Four approaches summarize past attempts to define the field: The study of systems that think like humans.The study of systems that think rationally.The study of systems that act like humans.The study of systems that act rationally.
How DARPA Is Making a Machine Mind out of Memristors Artificial intelligence has long been the overarching vision of computing, always the goal but never within reach. But using memristors from HP and steady funding from DARPA, computer scientists at Boston University are on a quest to build the electronic analog to a human brain. The software they are developing – called MoNETA for Modular Neural Exploring Traveling Agent – should be able to function more like a mammalian brain than a conventional computer. At least, that's what they're claiming in a new feature in IEEE Spectrum. Special Issue on Cloud Robotics and Automation - IEEE Robotics and Automation Society A special issue of the IEEE Transactions on Automation Science and Engineering. Introduction Cloud Robotics and Automation is attracting increased interest from academia, governments, and industry worldwide. General Electric’s “Industrial Internet” aims to create a “convergence of machine and intelligent data” across industries. Germany’s “Industry 4.0” project and IBM’s “Smarter Planet” initiative are closely related.
Computer chatbot 'Eugene Goostman' passes the Turing test A computer program that pretends to be a 13-year-old Ukrainian boy called Eugene Goostman passed a Turing test at the Royal Society in London yesterday (Saturday 6 June) by convincing 33 percent of the judges that it was human during a five-minute typed conversation. The test was suggested by computer scientist Alan Turing in 1950, and the competition was held on the 60th anniversary of his death. The judges included Robert Llewellyn, who played the android Kryten in Red Dwarf, and Lord Sharkey, who led the campaign for Turing's posthumous pardon last year. Llewellyn tweeted: "Turing test was amazing.
Guidelines on Writing a Philosophy Paper Philosophical writing is different from the writing you'll be asked to do in other courses. Most of the strategies described below will also serve you well when writing for other courses, but don't automatically assume that they all will. Nor should you assume that every writing guideline you've been given by other teachers is important when you're writing a philosophy paper. Some of those guidelines are routinely violated in good philosophical prose (e.g., see the guidelines on grammar, below). Contents What Does One Do in a Philosophy Paper? What is a Knowledge Representation? Randall Davis MIT AI Lab Howard Shrobe MIT AI Lab and Symbolics, Inc. Peter Szolovits MIT Lab for Computer Science This paper appeared as R. SENNA SENNA is a software distributed under a non-commercial license, which outputs a host of Natural Language Processing (NLP) predictions: part-of-speech (POS) tags, chunking (CHK), name entity recognition (NER), semantic role labeling (SRL) and syntactic parsing (PSG). SENNA is fast because it uses a simple architecture, self-contained because it does not rely on the output of existing NLP system, and accurate because it offers state-of-the-art or near state-of-the-art performance. SENNA is written in ANSI C, with about 3500 lines of code. It requires about 200MB of RAM and should run on any IEEE floating point computer.
Massachusetts Institute of Technology 150th anniversary Watch videos of this symposium This symposium was inspired by the old dream of understanding the mind and the brain, which was at the core of several new fields created at MIT during the ‘50s and ‘60s. The same dream is now the main motivation for a new Intelligence Initiative (I2). Beyond being a great intellectual mission, this research helps to develop an understanding of the origins of intelligence, build more intelligent artifacts and systems, and improve the mechanisms for collective decisions. These advances will be critical to the future prosperity, education, health, and security of our society. Key question: Over the past 50 years, research in Artificial Intelligence (AI) and Machine Learning (ML) has led to the current development of remarkably successful applications such as Deep Blue, Google search, Kinect, Shazam, Watson, and MobilEye.
Guidelines on Reading Philosophy It will be difficult for you to make sense of some of the articles we'll be reading. This is partly because they discuss abstract ideas that you're not accustomed to thinking about. They may also use technical vocabulary which is new to you. Sometimes it won't be obvious what the overall argument of the paper is supposed to be. The prose may be complicated, and you may need to pick the article apart sentence by sentence. Knowledge representation and reasoning Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) devoted to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets. Examples of knowledge representation formalisms include semantic nets, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers. Overview
Fast Cochlea Transform Fast Cochlea Transform™ The cochlea is the most complex part of the ear and central to the human auditory system. It is responsible for transforming sound pressure waves into electrical information that the brain can interpret as a sound. Audience’s proprietary “Fast Cochlea Transform™” (FCT) performs a similar transformation function within the voice processor, converting a time domain representation of sound into a frequency domain representation. The Myth Of AI That mythology, in turn, has spurred a reactionary, perpetual spasm from people who are horrified by what they hear. You'll have a figure say, "The computers will take over the Earth, but that's a good thing, because people had their chance and now we should give it to the machines." Then you'll have other people say, "Oh, that's horrible, we must stop these computers."
The Best Resources On Teaching & Learning Critical Thinking In The Classroom Teaching and learning critical thinking in the classroom will be the topic of my next Education Week Teacher column (contribute your ideas there, please), so I wanted to develop a “The Best…” list with supporting materials. I put out a call on Twitter and Google Plus for people to make suggestions, but unfortunately didn’t do a great job of keeping track who made the suggestions. I apologize if I did not credit you for your suggestion. I’ll keep much better track the next time I put out a similar request.