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IBM produces first working chips modeled on the human brain

IBM produces first working chips modeled on the human brain
IBM has been shipping computers for more than 65 years, and it is finally on the verge of creating a true electronic brain. Big Blue is announcing today that it, along with four universities and the Defense Advanced Research Projects Agency (DARPA), have created the basic design of an experimental computer chip that emulates the way the brain processes information. IBM’s so-called cognitive computing chips could one day simulate and emulate the brain’s ability to sense, perceive, interact and recognize — all tasks that humans can currently do much better than computers can. Dharmendra Modha (pictured below right) is the principal investigator of the DARPA project, called Synapse (Systems of Neuromorphic Adaptive Plastic Scalable Electronics, or SyNAPSE). He is also a researcher at the IBM Almaden Research Center in San Jose, Calif. We wrote about the project when IBM announced the project in November, 2008 and again when it hit its first milestone in November, 2009. Related:  AI

Craig W. Reynolds (AI) My interests center around using procedural models (computer programs) to simulate complex natural phenomenon. These models can aide scientific understanding of the natural system. They also allow us to recreate the phenomenon and control it for use in animation, games and the arts. Much of my work involves writing software to simulate various types of human and animal behavior. These programs control the actions of autonomous characters in virtual worlds. I am also interested in using evolutionary computation to design procedural models, such as for behavioral control and texture synthesis. I work as a software engineer at RightHook in San Jose, California. You Built What?! A Homemade Scanning Electron Microscope The hardest DIY project ever Cool Customer To keep the microscope’s vacuum pump from overheating, Krasnow used an air conditioner from a liquid-nitrogen generator he had built previously Cody Pickens Ben Krasnow has built his share of odd contraptions, including a liquid nitrogen generator made from an air conditioner, and the “thirst extinguisher,” a commercial-grade fire extinguisher that cools, carbonates, and dispenses his homemade beer. Now, for no other reason than wanting a real challenge, the 28-year-old engineer picked the toughest DIY project he could imagine: a homemade scanning electron microscope, or SEM. Scientific labs will pay upward of $250,000 for a high-end SEM, and as far as Krasnow could find, no individual had ever built one, so he had to improvise. A typical SEM fires a thin stream of electrons at a sample, monitors the electrons kicked up by the impact, and translates the resulting signals into a picture. Krasnow made his electron gun out of a thin tungsten wire.

Dans quelques années, vos livres préférés auront peut-être été écrits par des robots Les robots pourront-ils bientôt remplacer les écrivains ? C’est sur cette question que se sont penchés plusieurs chercheurs depuis quelques années. DGS vous propose de découvrir quelques projets fascinants, qui pourraient bientôt révolutionner la littérature traditionnelle. L’intelligence artificielle est un thème qui passionne depuis longtemps les auteurs de science-fiction. Aujourd’hui, les visions futuristes de ces écrivains deviennent réalité. Le spécialiste en intelligence artificielle Ray Kurzwell, qui travaille chez Google, a prédit qu’en 2029 les ordinateurs seront plus intelligents que le plus intelligent des humains. Les romanciers doivent-ils s’inquiéter de la montée en puissance des intelligences artificielles et prendront-elles un jour leur place ? Selon le futurologue (spécialiste de l’observation des changements qui s’amorcent et de la prédiction des évènements à venir) Kevin Warwick, un robot pourrait écrire aussi bien qu’un homme dans un futur proche.

'Star-Trek' sick bay detects diseases British engineers have built a £1 million Star Trek-style 'sick bay' for the National Health Service, debuting at the Leicester Royal Infirmary's accident and emergency department. Designed to detect everything from bruising to cancer, the unit was developed as a byproduct of a joint project with NASA aimed at detecting the presence of life on Mars. The unit is equipped with a set of instruments which analyze a patient's breath, as well as another set that uses visual imaging to examine a patient's skin. The team believes the equipment can be used to diagnose over 40 diseases, from sepsis through to bacterial infections such as C. It's the first time all these technologies have been brought together in an integrated way - and developing it involved scientists working in space research, emergency medicine, engineering and IT. "An obvious example is ketones, which we detect in the breath of diabetics during hypoglycaemia," says Sims. "It is hard to predict how this work will develop.

Brighterion - Management Team Following his distinguished career of service in Her Majesty’s Royal Air Force and at Scotland Yard, Raymond Kendall joined INTERPOL in 1971. From 1985 until 2001, he served as three-time Secretary General of INTERPOL from its headquarters in Lyon, France. In addition to his leadership fulfilling the traditional mission of INTERPOL, Mr. Kendall initiated joint efforts globally with the private sector to address the growing threat of cybercrime and promoted the need for international cooperation to prevent abuses on the web. An honors degree recipient from Oxford University, Mr. Subversive apps help citizens fight state silencing - science-in-society - 17 September 2011 WHEN the Egyptian authorities realised protesters were using the internet to organise themselves in January, they came up with a simple solution: in an instant they disconnected the nation, cutting off anti-government dissidents from an invaluable resource. The outage inspired James Burke and Chris Pinchen - both members of the P2P Foundation, a group that monitors how data is shared online - to begin work on the ChokePoint Project. The idea is to compile a real-time interactive map of the entire internet and identify potential choke points - the physical and virtual locations where internet access could be easily compromised - and who has the power to strangle them. ChokePoint Project's map would allow people to identify the degree and exact location of a network outage, says Burke. "With every country in the world sending network data, over time we'll see the trends of big data patterns," says Burke, comparing the idea to the patterns observable in financial data. That's a way off yet.

Système multi-agents Un article de Wikipédia, l'encyclopédie libre. Origine et aspects techniques[modifier | modifier le code] Origine[modifier | modifier le code] L'une des grandes sources d'inspiration pour les systèmes multi-agents a été l'étude des comportements sociaux de certaines familles d'insectes[1]. Les SMA peuvent être vus comme la rencontre de divers domaines[2] : l'intelligence artificielle pour les aspects prise de décision de l'agentl'intelligence artificielle distribuée pour la distribution de l'exécutionles systèmes distribués pour les interactionsle génie logiciel pour l'approche agents et l'évolution vers des composants logiciels de plus en plus autonomesLes objets communicants Un exemple pour comprendre: la métaphore des jeux vidéo[modifier | modifier le code] Les cinq problématiques des SMA[modifier | modifier le code] On peut relever cinq problématiques principales lors de la création de systèmes multi-agents[3]: Architecture des systèmes multi-agents[modifier | modifier le code]

Mischief and fraud in the crowdsourced workforce - tech - 11 July 2011 Once seen as a triumph, Amazon's Mechanical Turk has proved susceptible to dubious deals USER reviews have generally been good for Squibble, an app created by Canadian software firm MassHabit. Last month, for example, a post on the website MacRumours complimented its "great graphics" and "addictive gameplay". "I just tried the best game from the appstore!" Glowing praise, indeed. It's certainly ... Multi-agent system Despite considerable overlap, a multi-agent system is not always the same as an agent-based model (ABM). The goal of an ABM is to search for explanatory insight into the collective behavior of agents (which don't necessarily need to be "intelligent") obeying simple rules, typically in natural systems, rather than in solving specific practical or engineering problems. The terminology of ABM tends to be used more often in the sciences, and MAS in engineering and technology.[1] Applications where multi-agent systems research may deliver an appropriate approach include online trading,[2] disaster response[3][4] and social structure modelling.[5] Concept[edit] Multi-agent systems consist of agents and their environment. Agents can be divided into types spanning simple to complex. Agent environments can be divided into: VirtualDiscreteContinuous Characteristics[edit] The agents in a multi-agent system have several important characteristics:[10] Self-organisation and self-direction[edit]

Born to be viral: Vehicle levitates without magnets MacGregor Campbell, consultant High flying isn't all it's cracked up to be. This vehicle, created by Yusuke Sugahara and colleagues at Tohoku University in Miyagi, Japan, attempts to fly as low to the ground as possible. Existing levitating trains try to minimise drag by using magnets, which reduce friction between the rail and cars. Due to the effect, when an airplane flies very low, it creates a cushion of high-pressure air. Despite its low-flying design, the vehicle must still be controlled around three axes - pitch, roll, and yaw - just like an airplane. The vehicle was presented at the recent International Conference on Robotics and Automation in Shanghai, China. For flying robots with a bit more agility, check out this video.

Bienvenue sur la page de Jean-Daniel Kant Last News Nouveau Site WorkSim Simulation du marché du travail New website WorkSim project (in French for the moment) Habilitation Thesis : "Agent-based approaches to the study of human behaviors" (pdf) Welcome to my homepage ! I am currently an associate professor with Habilitation (HDR) at the University Pierre et Marie Curie (UPMC) in Paris, ranked first science University in France. I work at its Computer Science Laboratory (LIP6), one of the leaders in computer science research in France, within the SMA team, devoted to Multi-Agent Systems (MAS). I am interested in modelling and simulation of complex systems, and more particularly to the contributions of Information Technologies in the Humanities and Social Sciences. I am also the co-founder and co-leader of MAGECO, the first French network of research on Agent-Based Computational Economics. I lead currently three research projects: WorkSim, started in September 2006 in collaboration with Professor G.

One Per Cent: ZeroTouch makes any screen touchable Jim Giles, contributor, Vancouver, Canada A cheap way to turn a screen of any size into a touch-sensitive device. An ultra-precise game controller. ZeroTouch senses an object's position using a series of infrared LEDs and sensors mounted on the outside of what looks like an empty picture frame. The system can be used to turn any screen, including supersized televisions, into a touchscreen. The Texas team demonstrated a ZeroTouch frame overlaid on a touchscreen that was controlled by a handheld stylus. Team leader Andruid Kerne says he would like to rig up a series of ZeroTouch frames that would be big enough for someone to walk through.

Après l’intelligence artificielle, l’intelligence « étendue » Intervenant dans un débat en ligne du New York Times autour des enjeux de l’IA, Joi Ito (@joi), le directeur du Media Lab du MIT, expliquait que même très bien intentionné, l’usage des technologies peut mal tourner. « La majeure partie de la recherche en IA se concentre sur l’apprentissage profond : des ingénieurs « entraînent » des machines pour augmenter l’intelligence collective de nos gouvernements, de nos marchés et de nos sociétés ». Pour lui, plus que d’intelligence artificielle (IA), on devrait parler d’intelligence étendue (IE) pour évoquer cette forme appelée à devenir dominante de l’IA. Les algorithmes qui façonnent l’IE sont entraînés par des humains et peuvent de ce fait propager les mêmes biais qui ruinent la société, les perpétuant sous couvert de « machines intelligentes », à l’image des biais qui affectent les systèmes de police prédictive. Devons-nous nous adapter à l’évolution technologique ? Ces principes, Joi Ito les abordait déjà en 2012. Hubert Guillaud

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