Monica Anderson - Slides from various presentations I've... L’intelligence artificielle va-t-elle rester impénétrable ? [1609.08144] Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. 1606.04199. P15 1166. Schuster97 BRNN. 1409.1259v2. 1409.0473v7. [1409.3215] Sequence to Sequence Learning with Neural Networks. Bengio03a. Science. Unsupervised icml2012. The Great A.I. Awakening. Four days later, a couple of hundred journalists, entrepreneurs and advertisers from all over the world gathered in Google’s London engineering office for a special announcement.
Guests were greeted with Translate-branded fortune cookies. Their paper slips had a foreign phrase on one side — mine was in Norwegian — and on the other, an invitation to download the Translate app. Tables were set with trays of doughnuts and smoothies, each labeled with a placard that advertised its flavor in German (zitrone), Portuguese (baunilha) or Spanish (manzana). After a while, everyone was ushered into a plush, dark theater. Photo Sadiq Khan, the mayor of London, stood to make a few opening remarks. Pichai was in London in part to inaugurate Google’s new building there, the cornerstone of a new “knowledge quarter” under construction at King’s Cross, and in part to unveil the completion of the initial phase of a company transformation he announced last year. Until today. Lecun 01a. Untitled. Eric Berlow and Sean Gourley: Mapping ideas worth spreading. Eric Berlow: I'm an ecologist, and Sean's a physicist,and we both study complex networks.And we met a couple years ago when we discoveredthat we had both given a short TED Talkabout the ecology of war,and we realized that we were connectedby the ideas we shared before we ever met.And then we thought, you know, there are thousandsof other talks out there, especially TEDx Talks,that are popping up all over the world.How are they connected,and what does that global conversation look like?
So Sean's going to tell you a little bit about how we did that. Sean Gourley: Exactly. So we took 24,000 TEDx Talksfrom around the world, 147 different countries,and we took these talks and we wanted to findthe mathematical structures that underlythe ideas behind them.And we wanted to do that so we could see howthey connected with each other. SG: Absolutely. 2012b ComCogSysMan rpwl final. Richard Loosemore. Stanford Center for Professional Development.
We Need Algorithmic Angels. Editor’s note: Jarno M.
Koponen is a designer, humanist and co-founder of media discovery startup Random. His passion is to explore and create audacious human-centered digital experiences. A lot has been written on how algorithms are manipulating this and that in today’s Internet. However, there haven’t been many concrete proposals about how to create more human-centered algorithmic solutions. For example, do we need algorithms that are on our side? The lost algorithmic me Digital products are moving from our pockets to our skin and finally inside of us. Facebook AI Director Yann LeCun on His Quest to Unleash Deep Learning and Make Machines Smarter. Artificial intelligence has gone through some dismal periods, which those in the field gloomily refer to as “AI winters.”
This is not one of those times; in fact, AI is so hot right now that tech giants like Google, Facebook, Apple, Baidu, and Microsoft are battling for the leading minds in the field. The current excitement about AI stems, in great part, from groundbreaking advances involving what are known as “convolutional neural networks.” This machine learning technique promises dramatic improvements in things like computer vision, speech recognition, and natural language processing.
You probably have heard of it by its more layperson-friendly name: “Deep Learning.” Few people have been more closely associated with Deep Learning than Yann LeCun, 54. More recently, Deep Learning and its related fields grew to become one of the most active areas in computer research. Facebook AI Director Yann LeCun on His Quest to Unleash Deep Learning and Make Machines Smarter. Evolutionary Multiobjective Optimization. Models vs. Patterns. A New Direction in Artificial Intelligence Research. Model Free Methods Workshop. Monica Anderson is CEO of Syntience Inc. and originator of a theory for "true" learning in animals, humans, and computers.
Syntience is actively researching computer based systems that can understand the meaning of language in the form of text. This is a video of an interactive workshop about the use of Model Free Methods in the Life Sciences and elsewhere. These methods are very important for AI research since (according to Ms. Anderson's theory) the creation of an Artificial General Intelligence requires that implementations be restricted to only use Model Free Methods. The case for this theory is made in other videos; this one merely discusses how other disciplines are already using Model Free Methods. Artificial Intelligence Videos. How to Make a Mind. Can nonbiological brains have real minds of their own?
In this article, drawn from his latest book, futurist/inventor Ray Kurzweil describes the future of intelligence—artificial and otherwise. The mammalian brain has a distinct aptitude not found in any other class of animal. Artificial Intelligence.