Events Highlights World-changing talks, debates, film screenings, podcasts, videos, and animations - all made available for free, for everyone. All of our work including our free public events programme is supported by our 27,000 Fellows who inspire, support and enable new solutions to address the problems of the 21st Century. If you share or demonstrate a commitment to positive social change, find out how you can become a Fellow. Is War Good for Us? Thursday 10 April, 13:00 Has killing made the world safer? Find out more Alcohol and Crime: How Do We Break the Cycle? Tuesday 13 May, 18:30 A new survey by the Alcohol & Crime Commission has found that while many prisoners will be able to manage their alcohol problems during their sentence, a lack of support upon being released can lead them straight back into criminal behaviour. Find out more The Self is Not an Illusion Thursday 22 May, 13:00 Is there anything more to the self than brain cells and processes? Find out more RSA Animate Re-Imagining Work
You (YOU!) Can Take Stanford's 'Intro to AI' Course Next Quarter, For Free Stanford has been offering portions of its robotics coursework online for a few years now, but professors Sebastian Thrun and Peter Norvig are kicking things up a notch (okay, lots of notches) with next semester's CS221: Introduction to Artificial Intelligence. For the first time, you can take this course, along with several hundred Stanford undergrads, without having to fill out an application, pay tuition, or live in a dorm. This is more than just downloading materials and following along with a live stream; you're actually going to have to do all the same work as the Stanford students. There's a book you'll need to get. You won't technically earn credits for the course unless you're a Stanford student, but for all practical purposes, you'll be getting the exact same knowledge and experience -- transmitted directly to you by none other than two living Jedis of modern AI. Here's how it will all work: Anyone can sign up for the course online. Grading will be automated.
International Society of Artificial Life Branches of AI Next: Applications of AI Up: WHAT IS ARTIFICIAL INTELLIGENCE? Previous: Basic Questions Q. A. logical AI What a program knows about the world in general the facts of the specific situation in which it must act, and its goals are all represented by sentences of some mathematical logical language. search AI programs often examine large numbers of possibilities, e.g. moves in a chess game or inferences by a theorem proving program. pattern recognition When a program makes observations of some kind, it is often programmed to compare what it sees with a pattern. representation Facts about the world have to be represented in some way. inference From some facts, others can be inferred. common sense knowledge and reasoning This is the area in which AI is farthest from human-level, in spite of the fact that it has been an active research area since the 1950s. learning from experience Programs do that. planning epistemology ontology Ontology is the study of the kinds of things that exist. heuristics
Gapminder: Unveiling the beauty of statistics for a fact based world view. 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. There's reason to be optimistic that this attempt might be different from all the previous AI let-downs that have come before it. The Boston U. team, by its own admission, doesn't yet know exactly what these platforms will look like, but they seem very confident that they will soon be a reality. Decide for yourself if MoNETA is the real deal by clicking through the source link below. [IEEE Spectrum]
Common Sense Computing Initiative | at the MIT Media Lab Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence): Malik Ghallab,Dana Nau,Paolo Traverso: 9781558608566: Amazon.com Khan Academy MoNETA: A Mind Made from Memristors Though memristors are dense, cheap, and tiny, they also have a high failure rate at present, characteristics that bear an intriguing resemblance to the brain's synapses. It means that the architecture must by definition tolerate defects in individual circuitry, much the way brains gracefully degrade their performance as synapses are lost, without sudden system failure. Basically, memristors bring data close to computation, the way biological systems do, and they use very little power to store that information, just as the brain does. For a comparable function, the new hardware will use two to three orders of magnitude less power than Nvidia's Fermi-class GPU. For the first time we will begin to bridge the main divide between biological computation and traditional computation. Basically, without this paradigm shift in hardware architecture, you couldn't even think about building MoNETA. The two kinds of cores deal with processing in fundamentally different ways.
NCS — Neuromorphic Cognitive Systems