Emotion robots learn from people— We are focusing on emotions relevant to a baby robot that has to grow and help human with every day life. ... One of the first robots built in the project is exhibiting imprinted behaviour - which is found among birds and some mammals when born. They get attached to the first object they see when born. It is usually the mother and that's what makes them follow the mother around.(23. February 2007)
Google Translate Equilibrium— A fun way to use machine translation services is to start with a text, translate it in a different language and then translate the result in the original language. Translation Party extends this idea by repeating the translation until the text is no longer modified. The service uses Google Translate's API and it translates English texts into Japanese and then back in English.(7. August 2009)
Google's search for meaning— The meaning of a word can usually be gleaned from the words used around it. Take the word "rider". Its meaning can be deduced from the fact that it is often found close to words like "horse" and "saddle". ... realised that a Google search can be used to measure how closely two words relate to each other.(28. January 2005)
Greeter robot goes rental in Japan— Japanese firms looking for an employee with tireless enthusiasm and an unrivalled work ethic can now hire a robot for an hourly wage.(22. November 2006)
How blind to change are you?— This failure to notice what should be very apparent is something we unconsciously experience every day as our brains filter the barrage of visual information which we are flooded with. And apparently it has a name; it is called change blindness.(11. June 2010)
Humanity counts in chess battle— or the first time, a machine had beaten a person in a mental struggle that Mr Kasparov himself described as "species-defining". "Brute force" programmes found it hard to cope with human strategies that involved consciously sacrificing chess pieces in order to gain an advantage later on.(18. November 2003)
In a Big Network of Computers, Evidence of Machine Learning— Inside Google’s secretive X laboratory, known for inventing self-driving cars and augmented reality glasses, a small group of researchers began working several years ago on a simulation of the human brain. There Google scientists created one of the largest neural networks for machine learning by connecting 16,000 computer processors, which they turned loose on the Internet to learn on its own. Presented with 10 million digital images found in YouTube videos, what did Google’s brain do? What millions of humans do with YouTube: looked for cats. (25. June 2012)
Intelligent agent— In artificial intelligence, an intelligent agent (IA) is an autonomous entity which observes and acts upon an environment (i.e. it is an agent) and directs its activity towards achieving goals (i.e. it is rational). Intelligent agents may also learn or use knowledge to achieve their goals. They may be very simple or very complex: a reflex machine such as a thermostat is an intelligent agent, as is a human being, as is a community of human beings working together towards a goal.
Machine versus man stunt by IBM— It will try to understand a user's question and intent and understand it at a rudimentary level and provide and accurate and confident answer. ... It will try to understand a user's question and intent and understand it at a rudimentary level and provide and accurate and confident answer.(27. April 2009)
Machines 'to match man by 2029'— Machines will achieve human-level artificial intelligence by 2029, a leading US inventor has predicted. ... The nanobots, he said, would "make us smarter, remember things better and automatically go into full emergent virtual reality environments through the nervous system".(16. February 2008)
Microsoft unveils new controller— There is technology now that recognises not just your thumb, it recognises your entire person. The technology knows who you are.(2. June 2009)
Multi-agent system— A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve.
Official Google Blog: What we’re driving at— Larry and Sergey founded Google because they wanted to help solve really big problems using technology. And one of the big problems we’re working on today is car safety and efficiency. Our goal is to help prevent traffic accidents, free up people’s time and reduce carbon emissions by fundamentally changing car use. So we have developed technology for cars that can drive themselves. Our automated cars, manned by trained operators, just drove from our Mountain View campus to our Santa Monica office and on to Hollywood Boulevard. They’ve driven down Lombard Street, crossed the Golden Gate bridge, navigated the Pacific Coast Highway, and even made it all the way around Lake Tahoe. All in all, our self-driving cars have logged over 140,000 miles. We think this is a first in robotics research.(9. October 2010)
Particle swarm optimization— Particle swarm optimization (PSO) is an algorithm modelled on swarm intelligence that finds a solution to an optimization problem in a search space, or model and predict social behavior in the presence of objectives.
Ray Kurzweil does not understand the brain— We cannot derive the brain from the protein sequences underlying it; the sequences are insufficient, as well, because the nature of their expression is dependent on the environment and the history of a few hundred billion cells, each plugging along interdependently. We haven't even solved the sequence-to-protein-folding problem, which is an essential first step to executing Kurzweil's clueless algorithm. And we have absolutely no way to calculate in principle all the possible interactions and functions of a single protein with the tens of thousands of other proteins in the cell!(17. August 2010)
Rise of the Robots - The Future of Artificial Intelligence— I am convinced that the decades-old dream of a useful, general-purpose autonomous robot will be realized in the not too distant future. By 2010 we will see mobile robots as big as people but with cognitive abilities similar in many respects to those of a lizard. The machines will be capable of carrying out simple chores, such as vacuuming, dusting, delivering packages and taking out the garbage. By 2040, I believe, we will ﬁnally achieve the original goal of robotics and a thematic mainstay of science ﬁction: a freely moving machine with the intellectual capabilities of a human being.(23. March 2009)
Robot fish could prevent crashes— Robots that mimic the behaviour of fish have been developed by Japanese car firm Nissan, who believe the technique can be used in crash avoidance systems.(2. October 2009)
Robots learn to move themselves— In the beginning, we just drop a robot into a space. But they don't know anything, so they don't do anything," Professor Der said. The neural network eventually picks up on electronic noise, which causes small motions. It eventually tries larger motions as it learns about its range of movement. "It's like a newborn baby—it doesn't know anything but tries motions that are natural for its body. Half an hour later, it's rolling and jumping. ... This approach is far more flexible than traditional programming, in which movements are painstakingly planned out in a well-defined space.(6. August 2008)
SCIgen - An Automatic CS Paper Generator— SCIgen is a program that generates random Computer Science research papers, including graphs, figures, and citations. It uses a hand-written context-free grammar to form all elements of the papers. Our aim here is to maximize amusement, rather than coherence. One useful purpose for such a program is to auto-generate submissions to fake conferences; that is, conferences with no quality standards, which exist only to make money.
Sentient cities may answer back— It may look like an ordinary rubbish bin, but don't let that fool you. Throw an aluminium can in here and you'd be none the wiser, but try chucking a plastic bottle away, and with an angry buzz it will throw it back out at you, fans whirring to rid itself of the wrong kind of rubbish.(16. October 2009)
Swarmanoid, the movie— Swarmanoid is a heterogeneous robot swarm in which different groups of robots have different capabilities: some robots are specialized in manipulating objects and climbing, some in moving on the ground and transporting objects, and some in flying and observing the environment from above. This video presents the Swarmanoid project, a 4 year research project coordinated by Marco Dorigo and funded by the Commission of the European Union.(30. November 2010)
The danger of 'emotional' machines— Last week a computer program reportedly passed the Turing test by successfully convincing humans it communicated with that it was a real person at least 30% of the time.
The digital clockwork muse: A computational model of aesthetic evolution— This paper presents a computational model of creativity that attempts to capture within a social context an important aspect of the art and design process: the search for novelty. The computational model consists of multiple novelty-seeking agents that can assess the interestingness of artworks. The agents can communicate to particularly interesting artworks to others. Agents can also communicate to reward other agents for finding interesting artworks. We present the results from running experiments to investigate the effects of searching for different degrees of novelty on the artworks produced and the social organisation of the agents.(2. August 2001)
The Future of Machine Intelligence— A conference aimed explicitly at the grand goal of the AI field, the creation of thinking machines with general intelligence at the human level and ultimately beyond.(28. February 2009)
Welcome to the Age of Robot Reporters— Nozzl Media today unveiled a demonstration of its first product, a widget intended for newspaper websites seeking to display real-time local information derived from Twitter messages, blog posts and automatically extracted public records like restaurant health inspections, building reports and public safety emergency responses. It's like a little robot reporter and the company plans on offering it as a mobile app in the future as well. Nozzl raises questions, though, about what constitutes news and whether or not human reporters are expendable in the news process.(5. January 2010)
When algorithms control the world— If you were expecting some kind of warning when computers finally get smarter than us, then think again. ... In reality, our electronic overlords are already taking control, and they are doing it in a far more subtle way than science fiction would have us believe. Their weapon of choice - the algorithm.(23. August 2011)