Love Robot Holds Female Lab Intern Prisoner The robot Kenji at Toshiba's Akimu Robotic Research Institute was programmed by Dr. Akito Takahashi and his team to emulate certain human emotions, including love. However, Kenji began to display surprising behavior. The robot held a young female intern within its lab enclosure for a few hours, until she was freed by senior staff members. “Despite our initial enthusiasm, it has become clear that Kenji’s impulses and behavior are not entirely rational or genuine,” conceded Dr. Un bras bionique connecté au système nerveux Un bras bionique connecté au système nerveux Todd Kuiken est un ingénieur et chirurgien de talent qui a mis au point une prothèse de bras robotisée capable de se connecter avec le système nerveux humain. Cela permet au porteur de la diriger dans des mouvements souples et précis et même de ressentir les choses (au touché). Il est passé chez TED avec sa patiente Amanda Kitts qui est équipée de ce bras bionique et c'est franchement très impressionnant. Merci à Yoann pour le partage. Vous avez aimé cet article ?
Maze A maze is a tour puzzle in the form of a complex branching passage through which the solver must find a route. The pathways and walls in a maze are fixed, and puzzles in which the walls and paths can change during the game are categorised as tour puzzles. The Cretan labyrinth is the oldest known maze.[1] Technically the maze is distinguished from the labyrinth, which has a single through-route with twists and turns but without branches, and is not designed to be as difficult to navigate. Maze construction[edit] A small maze with one entrance and one exit Mazes have been built with walls and rooms, with hedges, turf, corn stalks, hay bales, books, paving stones of contrasting colors or designs, and brick,[3] or in fields of crops such as corn or, indeed, maize. Generating mazes[edit] Maze generation is the act of designing the layout of passages and walls within a maze. There are two main mechanisms used to generate mazes. Solving mazes[edit] Mazes in psychology experiments[edit] Block maze
Meet Nao: The first robot able to develop emotions and form a bond with humans By Daily Mail Reporter Updated: 11:52 GMT, 13 August 2010 The first robot capable of developing emotions and forming bonds with humans has been unveiled by scientists. Nao has been designed to mimic the emotional skills of a one-year-old child and is capable of forming bonds with people who treat it kindly. The robot has been developed to use the same types of expressive and behavioural cues that babies use to learn to interact socially and emotionally with others. It is able to detect human emotions by studying body-language and facial expressions and becomes better at reading someone's mood over time as it grows to 'know' the person. It is also able to remember its interactions with different people and memorise their faces. Nao have been created through modelling the early attachment process that human and chimpanzee infants undergo when they are very young. 'This behaviour is modelled on what a young child does,' said Dr Cañamero.
Universal robotic gripper Robert Barker/University Photography The human hand is an amazing machine that can pick up, move and place objects easily, but for a robot, this "gripping" mechanism is a vexing challenge. Opting for simple elegance, researchers from Cornell, the University of Chicago and iRobot Corp. have created a versatile gripper using everyday ground coffee and a latex party balloon, bypassing traditional designs based on the human hand and fingers. They call it a universal gripper, as it conforms to the object it's grabbing, rather than being designed for particular objects, said Hod Lipson, Cornell associate professor of mechanical engineering and computer science. John Amend The robotic gripper conforms to the shape of the item it is lifting. "This is one of the closest things we've ever done that could be on the market tomorrow," Lipson said. Here's how it works: An everyday party balloon filled with ground coffee -- any variety will do -- is attached to a robotic arm.
Lovotics, the new science of human-robot love By harnessing a new sphere of science called “lovotics”, Hooman Samani, an artificial intelligence researcher at the Social Robotics Lab at the National University of Singapore, believes it is possible to engineer love between humans and robots. Across 11 research papers, Samani has outlined — and begun to develop — an extremely complex artificial intelligence that simulates psychological and biological systems behind human love. To do this, Samani’s robots are equipped with artificial versions of the human “love” hormones — Oxytocin, Dopamine, Seratonin, and Endorphin — that can increase or decrease, depending on their state of love. On a psychological level, by using MRI scans of human brains to mirror the psychology of love, the robots are also equipped with an artificial intelligence that tracks their “affective state”; their level of affection for their human lover. Read more at Technology Review
Do Kids Care If Their Robot Friend Gets Stuffed Into a Closet? "Please don't put me in the closet," cries the robot. Last week, we wrote about a study that looked at whether humans attribute moral accountability and emotions to robots. This week, we've got a study from the same group, the Human Interaction With Nature and Technological Systems Lab (HINTS) at the University of Washington, that takes a look at what kind of relationships children are likely to form with social robot platforms, and it involves forcing their new robot friend into a dark, lonely closet. The 90 children in this study were separated into three groups by age: 9 year olds, 12 year olds, and 15 year olds, with an equal mix of boys and girls. The core of the study was a 15-minute, very carefully structured "interaction session" between Robovie, a child, and several adult researchers. The session involves a game of "I Spy," a guessing game where Robovie gives the child verbal clues to help them locate objects around the room. Geez. "What then are these robots? [ HINTS Lab ]
Les dents de l’aster Les dents de l’aster Des scientifiques ont mis au point des micro robots (ou microbots) baptisés les "asters", capables de nager dans un environnement liquide et d'attraper des "objets" pesant plusieurs fois leur poids, en utlisant leurs machoires ou en les emprisonnant. Ne dépassant pas le millimétre, ces robots sont aussi capables de se reconstituer s'ils perdent des morceaux d'eux-même. Les Asters sont constitués de petites particules qui s'assemblent et se déplacent grâce à l'application de champs magnétiques. Voici 2 vidéos tournées sous un microscope : Ce genre de robots pourront aider en science, en médecine ou pourquoi pas déboucher ces cartouches d'encre bas de gamme que vous utilisez une fois par an et qui vous coûtent presque aussi cher qu'une imprimante neuve. [Source] Vous avez aimé cet article ?
The Limits of Intelligence Santiago Ramón y Cajal, the Spanish Nobel-winning biologist who mapped the neural anatomy of insects in the decades before World War I, likened the minute circuitry of their vision-processing neurons to an exquisite pocket watch. He likened that of mammals, by comparison, to a hollow-chested grandfather clock. Indeed, it is humbling to think that a honeybee, with its milligram-size brain, can perform tasks such as navigating mazes and landscapes on a par with mammals. At the other extreme, an elephant, with its five-million-fold larger brain, suffers the inefficiencies of a sprawling Mesopotamian empire. We humans may not occupy the dimensional extremes of elephants or honeybees, but what few people realize is that the laws of physics place tough constraints on our mental faculties as well. Do the laws of thermodynamics, then, impose a limit on neuron-based intelligence, one that applies universally, whether in birds, primates, porpoises or praying mantises? It is a momentous insight.
IBM’s Watson Tries to Learn…Everything Steven Cherry: Hi, this is Steven Cherry for IEEE Spectrum’ s “Techwise Conversations.” Computers aren’t just getting better, they’re getting smarter. Sixteen years ago, a software program beat the reigning chess champion . Two years ago, IBM’s Watson software beat the world’s two best players in the television game show “Jeopardy!” Since then, Watson has been put to work learning something a lot less trivial—medical diagnosis. But IBM is also looking to the long term. My guest today is Jim Hendler . Jim, welcome to the podcast. Jim Hendler: Thanks very much, Steve. Steven Cherry: I called this an open-ended three-year charter to make Watson smarter. Jim Hendler: That’s pretty much correct. Steven Cherry: So your students and colleagues will tackle a wide variety of problems, but there’s one that interests you personally, and that’s the thousands and thousands of open data sets around the world. Jim Hendler: Yeah, so there’s issues to do with standards, but the real issue is semantics.
RAY KURZWEIL - That Singularity Guy - Vice Magazine In the year 2050, if Ray Kurzweil is right, nanoscopic robots will be zooming throughout our capillaries, transforming us into nonbiological humans. We will be able to absorb and retain the entirety of the universe’s knowledge, eat as much as we want without gaining weight, shape-shift into just about any physical form imaginable, live free from disease, and die at the time of our choosing. All of this will be thrust on us by something that Kurzweil calls the Singularity, a theorized point in time in the not-so-distant future when machines become vastly superior to humans in every way, aka the emergence of true artificial intelligence. Computers will be able to improve their own source codes and hardware in ways we puny humans could never conceive. This will result in a paradigm shift that sees mankind coalescing with its own creations: man and machine, merging into one. That kind of correspondence will only be possible if we develop advanced artificial intelligence and nanotechnology.
Brain-like computing a step closer to reality The development of 'brain-like' computers has taken a major step forward today with the publication of research led by the University of Exeter. Published in the journal Advanced Materials and funded by the Engineering and Physical Sciences Research Council, the study involved the first ever demonstration of simultaneous information processing and storage using phase-change materials. This new technique could revolutionise computing by making computers faster and more energy-efficient, as well as making them more closely resemble biological systems. Computers currently deal with processing and memory separately, resulting in a speed and power 'bottleneck' caused by the need to continually move data around. This is totally unlike anything in biology, for example in human brains, where no real distinction is made between memory and computation. Their study demonstrates conclusively that phase-change materials can store and process information simultaneously.