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Artificial Intelligence

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The AI Revolution: Road to Superintelligence - Wait But Why. PDF: We made a fancy PDF of this post for printing and offline viewing. Buy it here. (Or see a preview.) Note: The reason this post took three weeks to finish is that as I dug into research on Artificial Intelligence, I could not believe what I was reading. It hit me pretty quickly that what’s happening in the world of AI is not just an important topic, but by far THE most important topic for our future. So I wanted to learn as much as I could about it, and once I did that, I wanted to make sure I wrote a post that really explained this whole situation and why it matters so much. Not shockingly, that became outrageously long, so I broke it into two parts. This is Part 1—Part 2 is here. We are on the edge of change comparable to the rise of human life on Earth. — Vernor Vinge What does it feel like to stand here?

It seems like a pretty intense place to be standing—but then you have to remember something about what it’s like to stand on a time graph: you can’t see what’s to your right. 1. FLI - Future of Life Institute. The Future of AI: Opportunities and Challenges This conference brought together the world's leading AI builders from academia and industry to engage with each other and experts in economics, law and ethics.

The goal was to identify promising research directions that can help maximize the future benefits of AI while avoiding pitfalls (see this open letter and this list of research priorities). To facilitate candid and constructive discussions, there was no media present and Chatham House Rules: nobody's talks or statements will be shared without their permission. Where? San Juan, Puerto Rico When? Scientific organizing committee: Support: Funding and organizational support for this conference is provided by Skype-founder Jaan Tallinn, the Future of Life Institute and the Center for the Study of Existential Risk. Friday January 2:1600-late: Registration open 1930-2130: Welcome reception (Las Olas Terrace) Sunday January 4:0800-0900: Breakfast 0900-1200: Creating human-level AI: how and when?

La conception algorithmique automatise-t-elle nos vies. Alexis Lloyd (@alexislloyd) est la directrice créative du laboratoire du New York Times, la structure de R&D du journal, créé en 2006, où elle est à la tête d’une petite équipe multidisciplinaire regroupant chercheurs, designers et informaticiens… Son équipe est chargée de construire des prototypes pour observer leur impact sur la production et la consommation de l’information. Mais elle n'est pas venue sur la scène de Lift pour nous parler de ce que fait le NYTimes Lab (dommage). Elle est venue nous parler de l'impact de l'innovation technologique sur la culture. Nous ne sommes pas les maîtres des appareils que nous utilisons "Pour innover, il faut comprendre et déchiffrer les indicateurs de changements autour de nous", estime la designer.

Mais ce n’est pas si simple, car si on sait où va l’innovation technologique, il est plus difficile de saisir l’innovation culturelle et sociale. Image : Alexis Lloyd sur la scène de Lift. La transparence. L'agencement. La virtuosité. Hubert Guillaud. FLI - Future of Life Institute. (If you have questions about this letter, please contact tegmark@mit.edu) Artificial intelligence (AI) research has explored a variety of problems and approaches since its inception, but for the last 20 years or so has been focused on the problems surrounding the construction of intelligent agents - systems that perceive and act in some environment. In this context, "intelligence" is related to statistical and economic notions of rationality - colloquially, the ability to make good decisions, plans, or inferences. The adoption of probabilistic and decision-theoretic representations and statistical learning methods has led to a large degree of integration and cross-fertilization among AI, machine learning, statistics, control theory, neuroscience, and other fields.

The progress in AI research makes it timely to focus research not only on making AI more capable, but also on maximizing the societal benefit of AI. List of signatories. The_Future_of_Employment.pdf. Laurent Alexandre : "La stratégie secrète de Google apparaît…". Laurent Alexandre est une personnalité atypique dont l'expertise est écoutée. Chirurgien urologue de formation, diplômé de l'ENA, HEC et Sciences-Po, cofondateur de Doctissimo.fr, il préside désormais la société de séquençage de génome DNA Vision. Ce "cerveau" s'intéresse "aux bouleversements qu'entraîneront pour l'humanité les progrès de la science, de la technomédecine et des biotechnologies". Il y a consacré un essai remarqué intitulé La Mort de la mort dans lequel il affirme que "l'homme qui vivra 1.000 ans est déjà né".

Google est le premier embryon d'intelligence artificielle au monde, selon vous. Pourquoi? Expliquez-vous…Regardez la vague de rachats de start-up et de sociétés auxquels Google procède! Quel est le lien entre l'idéologie "transhumaniste" et Google? Quel est le but de cette croissance tentaculaire? Aucun concurrent de taille pour ébranler ce géant?

Qui contrôle Google aujourd'hui? Le tableau est effrayant… N'est-ce pas trop tard? Source: JDD papier.