L'ordinateur quantique de Feynman arrive en chimie Feynman jouant du bongo. Crédit : Tom Harvey L'ordinateur quantique de Feynman arrive en chimie - 1 Photo Dans un ordinateur classique, la façon dont s’effectuent les calculs, avec des courants d’électrons, n’est pas fondamentalement différente de celle d’un ordinateur qui serait constitué de boules de billard ou d’engrenages. On manipule des bits d’informations selon les lois de la physique classique. Or, nous le savons depuis plus de 80 ans, le monde est fondamentalement quantique et il repose sur un substratum hors espace et hors temps. Simuler le comportement d’un système quantique par des calculs numériques sur un ordinateur classique est donc forcément limité. Pour tenter de contourner l’obstacle, le grand physicien et prix Nobel de physique Richard Feynman a eu l’idée de faire réaliser des calculs quantiques par les systèmes quantiques eux-mêmes. On s’aperçut alors que certains calculs étaient plus faciles et plus courts au sein d'ordinateurs quantiques. A voir aussi sur Internet
IBM senses change with its annual “5-in-5” list for 2012 As the year nears its close, IBM, as it has every year since 2006, has pulled out the crystal ball and given us its predictions of five innovations that it believes will impact our lives in the next five years. For this year’s “5-in-5” list, IBM has taken a slightly different approach, with each entry on the list relating to our senses. The company believes cognitive computing whereby computers learn rather than passively relying on programming will be at the core of these innovations, enabling systems that will enhance and augment each of our five senses. View all Touch In the past five years touch screens have become a part of everyday life for most of us, but IBM believes the technology will develop to include haptic feedback so that we will also be able to feel the texture of objects being displayed. Sight Hearing The baby translator created by Homer’s brother, Herb, in The Simpsons will be a reality within five years, according to IBM. Taste Smell Source: IBM
The Third Conference on Artificial General Intelligence Lugano, Switzerland, March 5-8 (Fri-Mon) 2010 Continuing the mission of the first two AGI conferences (AGI-08, that was held at the University of Memphis; and AGI-09, that was held in Washington DC), in March 2010, AGI-10 will gather an international group of leading academic and industry researchers involved in serious scientific and engineering work aimed directly toward the goal of artificial general intelligence. This is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. Artificial General Intelligence The original goal of the AI field was the construction of “thinking machines” – that is, computer systems with human-like general intelligence. In recent years, however, more and more researchers have recognized the necessity – and feasibility – of returning to the original goals of the field.
Quantum Cryptography - Interview with Dr. David Deutsch {*style:<b> <i> </i>How did you get started working on quantum theory, and how would you describe the progression of your research? </b>*} Throughout my research career I have been interested in the most fundamental issues. I got into quantum mechanics because it is the deepest knowledge known to science. I did various kinds of work on quantum field theory, in the hopes of making progress on quantum gravity. quantum-mechanical physics. A fundamental idea is one which is needed in the understanding, or in explanations of many other ideas. It's perhaps not obvious to lay people that all existing computers—the one you have on your desk, the supercomputers that the National Security Agency uses, and the computer in your watch and so on—all of them are, in terms of their repertoire of possible computations, completely identical to each other. That was in the early 1980s and published in 1985 in the . What it mainly takes is for the link to be there. I don't really set goals. {*style:<b>Dr.
Data Transgression The relentless enthusiasm that cyber-utopians have for the potential of new technologies to transform the world often borders on religious fervor. In the case of Wired’s founding editor Kevin Kelly, it is literally true. After experiencing a religious awakening at the age of 27, Kelly now professes a unique form of Christianity that sees profound spiritual implications in technological progress. He believes that as our networks become more interconnected and our software becomes more intelligent and our technological artifacts more pervasive, a vast planetary consciousness will emerge, knitting together our infrastructure into a sublime artificial mind that will inspire religious devotion. The Internet will become a religion, in part because everything will happen on it, including all other religions, but mostly because it will be the first platform for true otherness to appear on the planet. Film theorist Todd McGowan, in his book The End of Dissatisfaction?
Des ordinateurs quantiques topologiques avec des fermions de Majorana ? Une micrographie électronique d'un nanofil d'antimoniure d'indium (barre horizontale, au centre) similaire à celui utilisé pour rechercher des fermions de Majorana. © Delft University of Technology Des ordinateurs quantiques topologiques avec des fermions de Majorana ? - 2 Photos À lire, notre dossier sur l'ordinateur quantique Le physicien italien Ettore Majorana partage avec Évariste Galois bien des points communs. En 1937, Majorana avait publié un article prolongeant la théorie relativiste des électrons de Dirac. Magiquement, cette équation prédisait le spin 1/2 de l’électron ainsi que l’existence de son antiparticule, le positron. Neutrino, matière noire et fermions de Majorana Dans la droite ligne de ses recherches, il découvrit, probablement même avant 1937, une théorie faisant intervenir ce qu’on appelle aujourd’hui des fermions de Majorana. Si les neutrinos sont leur propre antiparticule, un mode de désintégration double bêta sans neutrino est théoriquement possible.
Predicting The Future: Fantasy Or A Good Algorithm? After failing to predict the Arab Spring, intelligence officials are now exploring whether Big Data, the combing of billions of pieces of disparate electronic information, can help them identify hot spots before they explode. The intelligence community has always been in the business of forecasting the future. The question is whether tapping into publicly available data — Twitter and news feeds and blogs among other things — can help them do that faster and more precisely. Enter a Swedish-American start-up company called Recorded Future. "What we're trying to do here at Recorded Future is figure out a cool way that we can observe the world," says co-founder Christopher Ahlberg. The idea is to give users an ability to see events or relationships in sequence to make it easier to find patterns and relationships that traditional Big Data programs might miss. 'Time Is Often A Forgotten Dimension' As Ahlberg sees it, there are hints about the future everywhere. This isn't a new idea.
3 Ways AI-Generated Content Will Change the E-Learning Industry The day-to-day problems concerned with creating e-learning courses are all too familiar for those in the industry. While authoring and LMS tools has improved significantly it is still very difficult to scale video production. But with the advent of AI-driven tools for video creation companies will be able to deliver better and more customised courses at a much faster pace than what is possible today. Today, creating large volumes of content for courses becomes a regular pain, from location/studio problems to reshoots, and scheduling issues to the constant back and forth between clients. E-learning courses can also be difficult to localise, which brings its own audience limitations. Today, customers are used to personalised experiences. There needs to be solutions for the problems faced by those in the e-learning industry - and AI technology might just be the answer. Photoshop changed the image editing industry. 1. AI-generated content turns such problems on its head. 2. 3.
Terminator 4, la conscience artificielle et le voyage dans le temps... Un modéle de T-800 en vente sur ebay. Crédit : www.gizmodo.fr Terminator 4, la conscience artificielle et le voyage dans le temps... - 3 Photos Terminator Renaissance sort sur les écrans français et devrait être le premier volet d’une trilogie succédant à celle réalisée par James Cameron en 1984 et 1991 puis par Jonathan Mostow en 2003. Dans le premier opus, un robot humanoïde recouvert d’une couche de tissus organiques lui donnant une apparence humaine, et nécessaire pour voyager dans le temps, débarque du futur avec pour mission de trouver Sarah Connor et de la tuer. Skynet est censé être un superordinateur de l’armée américaine ayant accidentellement franchi le seuil de la complexité menant à la conscience artificielle. Bien des œuvres de ce genre, à commencer par celles de Jules Verne et ensuite d’Arthur Clarke, ont inspiré bon nombre des ingénieurs et inventeurs qui ont fait la technologie du vingtième siècle. L'inévitable paradoxe du grand-père Quid de la conscience artificielle ?
100 Incredible Lectures from the World's Top Scientists Posted on Thursday June 18, 2009 by Staff Writers By Sarah Russel Unless you’re enrolled at one of the best online colleges or are an elite member of the science and engineering inner circle, you’re probably left out of most of the exciting research explored by the world’s greatest scientists. But thanks to the Internet and the generosity of many universities and online colleges, you’ve now got access to the cutting edge theories and projects that are changing the world in this list below. If you’re looking for even more amazing lectures, check out our updated list for 2012 with more talks from great minds. General Let the world’s top scientists explain exactly how they do their job when you listen to these lectures. Science and Engineering From materials science to the study of thermodynamics, learn more about the science of engineering here. WTC Lecture – collapse of WTC Buildings: Steven E. Biology and Medicine Chemistry Physics and Astronomy Earth and Environment Technology Science and Business
Projet Enigma: la cryptographie de la seconde guerre mondiale à aujourd'hui Les codes du futur La cryptographie quantique et les ordinateurs quantiques La cryptographie quantique est fondée non plus sur des notions mathématiques, mais sur l'hypothèse admise en physique que le comportement des photons (les particules élémentaires de lumière) est régi par les lois de la mécanique quantique. Cette théorie physique, élaborée dans la première moitié du xxe siècle, n'a jamais été mise en défaut et semble donc la meilleure base pour fonder une théorie physique ultime de l'information, et de la cryptographie. La distribution de clefs grâce aux photons polarisés Un photon, d'après les principes généraux de la mécanique quantique, se comporte comme une boîte à deux compartiments: à chaque fois qu'on ouvre l'un d'eux pour prendre connaissance de son contenu, le contenu de l'autre compartiment est irrémédiablement détruit (on ne peut donc connaître que le contenu de l'un des deux compartiments). Les ordinateurs quantiques mettent en péril toute la cryptographie contemporaine
Can We Make the Hardware Necessary for Artificial Intelligence? My POV is hardware driven, I do electronic design. I don’t present myself as “an authority” on Artificial Intelligence, much less “an authority” on sentient artificial intelligence, until they are Real Things, there is no such thing as an authority in that field. That said, if the hardware doesn’t exist to support sentient AI, doesn’t matter how wonderful the software is.
10 Best AI Tools for Education (2023) - Unite.AI Most of the conversation surrounding artificial intelligence (AI) tools is often directed at business, but there is enormous potential for AI to drastically improve our educational systems. It is one of the most effective tools teachers can have at their disposal, and it often frees them up from administrative burdens. These technologies will not replace teachers, but rather enable them to spend more time on students’ education. AI is growing rapidly in the education sector, and it is becoming a multi-billion dollar global market. Many innovative companies are creating AI tools to achieve these results. 1. The Gradescope AI tool enables students to assess each other while providing feedback, which are often time-consuming tasks without AI technology. By outsourcing these tasks, teachers can focus on the more important ones. Here some of the main features of Gradescope: What is Gradescope? 2. Fetchy is a generative AI-powered platform designed specifically for educators. 3. 4. 5. 6. 7.