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Robovie rescue bot hunts high and low for lost princesses (video)

If you've been feeling blue because you haven't got enough green to keep the old bank account in the black, we've got just the tonic for you, dear friend. There's nothing that gets us all perked up and cheerful quite like an adorable humanoid robot negotiating an obstacle course in the performance of a rescue mission. In fact, if you layer on your own "save the princess" narrative atop the on-screen events, the pep in your step should be back in no time. The smile-inducing video can be found after the break.

MIT's Affective Intelligent Driving Agent is KITT and Clippy's lovechild (video)

If we've said it once, we've said it a thousand times, stop trying to make robots into "friendly companions!" MIT must have some hubris stuck in its ears, as its labs are back at it with what looks like Clippy gone 3D, with an extra dash of Knight Rider-inspired personality. What we're talking about here is a dashboard-mounted AI system that collects environmental data, such as local events, traffic and gas stations, and combines it with a careful analysis of your driving habits and style to make helpful suggestions and note points of interest. By careful analysis we mean it snoops on your every move, and by helpful suggestions we mean it probably nags you to death (its own death). Then again, the thing's been designed to communicate with those big Audi eyes, making even our hardened hearts warm just a little. Video after the break.

eviGroup's Pad is a 10-inch 3G tablet with personality

Time to freshen up the old netbook market with a dash of Windows 7, a pinch of touchscreen functionality, and a generous helping of... Seline10? eviGroup, the crew responsible for the attractive 5-inch Wallet MID, has announced the 10.2-inch Pad, whose pièce de résistance is the Seline10 artificial intelligence software that's been in development for a decade, if you can believe it. Its purpose is to act as your secretary / assistant, and while the novelty's good, we all know how well Clippy worked out. Fret not though, it's just an optional extra and shouldn't detract from the appeal of a device that offers 3G and a/b/g WiFi connectivity, one VGA and three USB ports, multicard reader, webcam, microphone, and the old faithful 1.6GHz of Atom power. A price of under €500 is being touted, with further details set to emerge over the coming days.

Movie Gadget Friday: Weird Science

Ariel Waldman contributes Movie Gadget Friday, where she highlights the lovable and lame gadgets from the world of cinema.


We last left off on the cyberpunk streets of LA in Strange Days. This week, in honor of the loss of the man behind so many 1980's icons, Movie Gadget Friday is paying homage to filmmaker John Hughes with a look into the 1985 cult-classic Weird Science. Tapping into the geek-fiction fantasies of most tinkering teenagers, real-life gadget specs are stretched to surreal capabilities to create the ultimate female bombshell. It's without surprise that the character's name, Lisa, was inspired by the Apple Lisa, Apple's first GUI computer.

Are memristors the future of Artifical Intelligence? DARPA thinks so


New Scientist has recently published an article that discusses the memristor, the long theorized basic circuit element that can generate voltage from a current (like a resistor), but in a more complex, dynamic manner -- with the ability to "remember" previous currents. As we've seen, HP has already made progress developing hybrid memristor-transistor chips, but now the hubbub is the technology's applications for artificial intelligence. Apparently, synapses have complex electrical responses "maddeningly similar" to those of memristors, a realization that led Leon Chua (who first discovered the memristor in 1971) to say that synapses are memristors, "the missing circuit element I was looking for" was with us all along, it seems. And of course, it didn't take long for DARPA to jump into the fray, with our fave DoD outfit recently announcing its Systems of Neuromorphic Adaptive Plastic Scalable Electronics Program (SyNAPSE -- cute, huh?) with the goal of developing "biological neural systems" that can "autonomously process information in complex environments by automatically learning relevant and probabilistically stable features and associations." In other words, they see this as a way to make their killer robots a helluva lot smarter -- and you know what that means, don't you?

Read - New Scientist: "Memristor minds: The future of artificial intelligence"
Read - DARPA: "Systems of Neuromorphic Adaptive Plastic Scalable Electronics"

Researchers develop a robot that reads your intentions, says you're 'thick'


Robots won't be able to wrest control of the planet from us silly humans until they learn how to collaborate. Sure, they can mow the lawn or mix a drink, but only when you give 'em explicit instructions. Luckily for our future robot overlords, The EU's JAST project is studying the ways that humans work together, in the hope that it can someday teach robots to anticipate the actions and intentions of a human partner. "In our experiments the robot is not observing to learn a task," explains Wolfram Erlhagen from the University of Minho. "The JAST robots already know the task, but they observe behavior, map it against the task, and quickly learn to anticipate [partner actions] or spot errors when the partner does not follow the correct or expected procedure." This bad boy has a neural architecture that mimics what happens when two people interact, and the video below shows the rather melancholy automaton trying to convince his human partner to pick up the right pieces to complete a simple task. Watch it in action after the break.

IBM's Watson to rival humans in round of Jeopardy!


IBM's already proven that a computer from its labs can take on the world's best at chess, but what'll happen when the boundaries of a square-filled board are removed? Researchers at the outfit are obviously excited to find out, today revealing that its Watson system will be pitted against brilliant Earthlings on Jeopardy! in an attempt to further artificial intelligence when it comes to semantics and searching for indexed information. Essentially, the machine will have to be remarkably labile in order to understand "analogies, puns, double entendres and relationships like size and location," something that robotic linguists have long struggled with. There's no mention of a solid date when it comes to the competition itself, but you can bet we'll be setting our DVRs whenever it's announced. Check out a video of the progress after the break.

[Via The New York Times]

Artificial Intelligence solves boring science experiments, makes interns obsolete


Researchers at Aberystwyth University in Wales have developed a robot that is being heralded as the first machine to have discovered new scientific knowledge independently of a human operator. Named Adam, the device has already identified the role of several genes in yeast cells, and has the ability to plan further experiments to test its own hypotheses. Ross King, from the university's computer science department, remarked that the robot is meant to take care of the tedious aspects of the scientific method, freeing up human scientists for "more advanced experiments." Across the pond at Cornell, researchers have developed a computer that can find established laws in the natural world -- without any prior scientific knowledge. According to PhysOrg, they've tested the AI on "simple mechanical systems" and plan on applying it to more complex problems in areas such as biology to cosmology where there are mountains of data to be poured through. It sure is nice to hear about robots doing something helpful for a change.

[Thanks, bo3of]

Read: Robo-scientist's first findings
Read: Being Isaac Newton: Computer derives natural laws from raw data

Gesture recognizing QB1 computer attends to your every desire


Scouting a computer that's "attentive to one's desires?" Good news, friends! Frédéric Kaplan's QB1, which was unveiled at the LIFT Conference in Geneva this past week, aims to be just that. Reportedly, the machine was designed in order to "alter the fundamentals of human-machine interaction," and rather than relying on the traditional mouse and keyboard approach, this one works entirely via gestures. QB1 is capable of recognizing inputs from both hands at once, with one example having a human select a record and adjust the volume by simply flicking their fingers through an on-screen album collection. We're told that the related patents behind the sophisticated 3D gesture interaction technology have been filed, but there's no word yet on when we'll be able to actually buy one. 'Til then, it's up to you to handle those "desires" yourself.

[Via The Inquirer]

Navy report warns of robot uprising, suggests a strong moral compass


You know, when armchair futurists (and jive talkin' bloggists) make note of some of the scary new tech making the rounds in defense circles these days it's one thing, but when the Doomsday Scenarios come from official channels, that's when we start to get nervous. According to a report published by the California State Polytechnic University (with data made available by the U.S. Navy's Office of Naval Research) the sheer scope of the military's various AI projects is so vast that it is impossible for anyone to fully understand exactly what's going on. "With hundreds of programmers working on millions of lines of code for a single war robot," says Patrick Lin, the chief compiler of the report, "no one has a clear understanding of what's going on, at a small scale, across the entire code base." And what we don't understand can eventually hunt us down and kill us. This isn't idle talk, either -- a software malfunction just last year caused US. Army robots to aim at friendly targets (fortunately, no shots were fired). The solution, Dr. Lin continues, is to teach robots "battlefield ethics... a warrior code." Of course, the government has had absolutely no problems with ethics over the years -- so programming its killer robots with some rudimentary values should prove relatively simple.

IBM develops computerized voice that actually sounds human


If there's one thing that still grates our nerves, it's automated calling systems. Or, more specifically, the robotic beings that simply fail to understand our slang and incomprehensible rants. IBM's working hard and fast to change all that, with a team at the company's Thomas J Watson research division developing and patenting a computerized voice that can utter "um," "er" and "yes, we're dead serious." The sophisticated system adds in the minutiae that makes conversation believable to Earthlings, and it's even programmed to learn new nuances and react to phrases such as "shh." The technology has been difficulty coined "generating paralinguistic phenomena via markup in text-to-speech syntheses," and while exact end uses have yet to be discussed publicly, we can certainly imagine a brave new world of automated CSRs.

Basil the Robot trained for symbolic recognition, beer toting


Though not much of a looker -- feel free to insert your own beer goggles joke here -- Basil the Robot is an experiment by Jim and Louise Gunderson to train an AI to identify its surroundings symbolically. That way, the couple hopes, he can react dynamically in new environments. Basil was intended to be shown off at a Cafe Scientifique meeting by having him go to the bar and order drinks for his creators, but that proved unsuccessful when Basil's battery died. The couple did videotape a successful trial run from the night before, which you can see after the break. Basil will next receive a microphone for voice commands and be upgraded from his current sonar navigation to a video sight system. The eventual goal is to teach Basil to go to the local brewery and pick up beer. Sure, we're still terrified of the robot revolution, but let's get serious here -- who are we to deny our mechanical overlords if they keep proffering us six-packs? Hit up the read link for the full story.

[Via Metafilter]

A closer look at Elbot's Turing test conversation


Earlier this week, Elbot made a fairly impressive showing (comparatively speaking, at least) when fooling three judges into thinking it was human; had it fooled one more on the dozen deep panel, it would have successful passed the famed Turing test. Auntie Beeb now has a report on what exactly Elbot said when asked a litany of questions away from the competition, and there's also a video with the related experts dissecting its performance. To be totally honest, its responses weren't too far from being completely passable as ones from a tired, potentially inebriated Earthling (in our humble opinion), but we'll leave the final determination to you. Touch the read link for a one-on-one with ones and zeros.

Cognition Technologies' Semantic Map paves the way for the robot uprising


Cognition Technologies' new Semantic Map lets computers -- and, conceivably, evil robots -- "understand" the English language in much the same way humans do, based on word tenses and context in a sentence. With this technology, a computer or search engine can understand virtually every word in the English language -- for a vocabulary about ten times that of a typical American college graduate. The system is already being employed in search engines, allowing people to ask questions in human-phrasing instead of unnatural, machine formatted word strings. Researchers say the ability to understand language is an important building block of the nascent Semantic Web, and will make the Replicants of the future extremely difficult to detect.

Stanford's autonomous helicopters learn new tricks by watching


While a great many scientists are attempting to create autonomous bots for uses in surgery, a team of Stanford whiz-kids are having a bit more fun with it all. The crew in question has concocted an artificial intelligence system that "enables robotic helicopters to teach themselves to fly difficult stunts by watching other helicopters perform the same maneuvers." Dubbed a demonstration in "apprenticeship learning," the robots can actually learn by observing rather than having to be programmed, meaning that entire airshows could be reeled off by planes that simply keep an open mind when warm-ups are underway. Of course, they could also be used for more serious applications -- mapping out hot spots of California wildfires, finding land mines in war zones, etc. -- but even if none of that pans out, we're cool with inventions being used purely for entertainment.
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