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.

Remember that GEF robot Nuvation showed off late last month? Yeah, apparently that thing is bad ass. Designed by General Electric Fanuc (GEF) and programmed by Nuvation Research, this thing has been able to crush any human opponent that dared step up to its 32-bit automated ways. In fact, it can typically score around three times as many goals as even the mightiest Earthling, and while folks have been smart enough to find loopholes in the 8-bit software, this guy is pretty much invincible when running the real deal. Need more video? You're just one click away.

[Via Slashdot]

Frighteningly enough, this isn't the first (or second) time that we've seen scientists pat themselves on the back for creating a mind-reading machine, but a dedicated team from Carnegie Mellon has just announced a computer that "has been trained to read people's minds by looking at scans of their brains as they thought about specific words." In a completely unsurprising move, gurus familiar with the development are suggesting that the breakthrough could be used to better understand how the brain organizes knowledge, and eventually, treat language disorders and learning disabilities more effectively. That's all gravy from here, but when this stuff starts passing as evidence in court, you'll know it's time to seriously investigate a relocation to Mars.

Wondering just how we mere mortals were going to even give a robot enough smarts to completely overtake our societies? Oddly enough, some of that artificial brain power could come from studying the way fruit flies, um, fly. A completely bizarre flight simulator at Caltech actually plays "scenes" that flys react to, and considering that the fly is constantly held, researchers can closely examine how the insect attempts to navigate away from lines, blobs and all manners of incoming obstacles. Those working with the installation suggest that these studies could one day help autonomous robots function better, potentially taking some of the load off of our human workforce. We know, you've got three bold letters and a question mark running through your noggin right now -- just hit the read link to see what it's all about.

[Thanks, Dave]

Believe it or not, this isn't the first time we've seen software created in order to determine whether a subject is drop-dead gorgeous, but scientists at Tel Aviv University have seemingly concocted a program of their own that can "interpret attractiveness in women." Before you ask, the researchers have yet to perfect the art of computing the beauty of males, but they're attributing said omission to the difficulty in "defining" attractiveness in dudes. Nevertheless, the software was purportedly able to reach nearly the same conclusion as humans about how lovely (or not) a hundred different ladies were, as it broke down features like face symmetry, smoothness of the skin and hair color. We're told the development could eventually be used in "plastic and reconstructive surgery and computer visualization programs," but c'mon, this is totally meant to automate the grueling Hot or Not process.

[Via Physorg]

So the military is continuing down the totally inevitable path of computer-controlled autonomous robo-warriors capable of fighting deadly human battles on our behalf -- and out come the naysayers like U of Sheffield prof Noel Sharkey, who, at The Ethics of Autonomous Military Systems conference in London, decried the bots' self-determined killing abilities as "a threat to humanity" -- especially if they're captured and re-purposed by terrorists to do their evil bidding. Sharkey exclaimed that he's "worked in artificial intelligence for decades, and the idea of a robot making decisions about human termination terrifies [him]," but -- and we're just gonna throw this out there -- what if being oppressed by a race of automatons run amok were actually an improvement over our corrupt governments of men? Isn't that a possibility, too? We're certainly going to keep telling ourselves it is, thankful we've somehow managed to not be overthrown by our own creations. Thus far.

P.S. -We dare you, commenters, NOT to bust out the welcoming our robot overlords cliché.

Famed technologist and futurist Ray Kurzweil is on the record about human-machine intelligence parity: it's going down by 2029, so be prepared to get digital on entirely new levels. Apparently, machines "will have both the hardware and the software to achieve human level artificial intelligence" by then, but even if it's not in the form of meatbag-terminating cyborgs, Kurzweil thinks one future of intelligent machines is on the nano scale, with interfaces to enhance our own physiology and intelligence. Oh sure, this stuff is completely pie in the sky -- but it's still absurdly fun to think of what kinds of crazy crap the 21st century's going to hold.

[Thanks to everyone who sent this in]

iRobot has unleashed yet another semi-autonomous robot ready to take on whatever the battlefield throws at it, but this one's got a much better feel of where it's headed. The PackBot with Mapping Kit ups the ante by "creating a real-time two-dimensional structural map for the soldier while on the move in theater," essentially enabling the operator (and his / her squad) to see what's just ahead without having to slip into potentially dangerous scenarios to find out. Apparently, the kit utilizes an array of sensors and artificial intelligence to relay the structural map while "simultaneously detecting and avoiding obstacles in its path." Heck, let's just strap a railgun on this thing and let the soldier kick back at the base.

[Thanks, Jonas]
Read - Press release
Read - PackBot with Mapping Kit homepage

Dr. Honghai Liu, one of the two researchers heading up a project to craft an exceptionally deft robotic hand, has called such a device "one of the holy grails of science," and honestly, we can't say we disagree. He, along with Professor Xiangyang Zhu, was recently award a Royal Society grant to further research the possibility of using artificial intelligence to create software that could "learn and copy human hand movements." A sensor-laden cyberglove has been used to capture data about how the human hand moves, and the duo hopes to eventually use the findings to produce the "perfect artificial limb." Of course, there's no telling how long it'll take for such technology to actually be perfected, but we can already see the line forming with folks eager to swap out their own hand for one a bit more adept.

[Via The Raw Feed]

While it's no shock that artificial intelligence as a whole is making strides, a pair of Hungarian researchers have seemingly unlocked a secret that gamers are sure to detest. Laszlo Laufer and Bottyan Nemeth, both from the Budapest University of Technology and Economics, have reportedly "discovered that a gamer's button presses can be predicted two seconds before they make them, through measurements of skin conductance." To make such a bold claim, the duo had guinea pigs play a simple game while their heart rate and skin conductance were measured, and after utilizing "neural networks to analyze the biofeedback signals and input records," the data showed that we humans aren't as unpredictable as we sometimes hope to be. Notably, this unearthing could be used in quite a few applications outside of infuriating gamers, but we all know where the real fun in this is.

[Via The Raw Feed]

It apparently wasn't easy, but a pair of top human poker players managed to narrowly beat a brash young artificial intelligence program yesterday in a poker match scientists had touted as a "milestone" comparable to Garry Kasparov's 1997 bout with the IBM's chess-playing Deep Blue. According to the AFP, the four-round match stretched on until 11pm, with poker players Phil Laak and Ali Eslami ultimately edging out the program, dubbed Polaris, by 570 points. Eslami seems to have been particularly impressed by his competitor, saying that he found playing against Polaris more exhausting than any previous game in his career, adding that "it's already so good it will be tough to beat in future." No word on a rematch just yet, but don't be surprised if you run into Polaris the next time you play a little online poker -- it's gotta recoup its losses somehow.

[Photo courtesy of AP]

A team of researchers at the University of Alberta in Canada claim to have "solved" the game of checkers, using a computer program named Chinook which has been playing matches against itself for the past 18 years. The program played 500 billion billion possible positions in the 5,000-year-old game, also known as draughts, before concluding that perfect play by both sides leads to a draw (a concept which grandmaster players have apparently hypothesized for years). One of the researchers said in a statement that he believes they have "Raised the bar... in terms of what can be achieved in computer technology and artificial intelligence." Next up, Chinook is to be renamed W.O.P.R., and then will begin playing a series of tic-tac-toe games against itself.

Although a coffee machine that slowly but surely learns your daily preferences in regard to cups of java may sound outlandish, the already-created RFID-enabled refrigerator certainly brings things back into focus. A "provisional patent exploration into coffee machines that learn and react to their users" is underway in Lafayette, Indiana, as James Pappas is hoping to take ubiquitous computing to the next level on coffee makers of the future. While internet-connected and weather-displaying renditions are already on store shelves, Pappas is hoping to utilize some form of GPS / RFID technology to create a machine that learns and adapts to your coffee drinking ways so it can automatically have a white chocolate cappuccino ready and waiting each weekday (except Monday, which is your straight-up black coffee day, right?) without you having to touch a thing. Furthermore, he's hoping to take the idea to the mobile front, as he refers to a cellphone interface to dial-in your next request so that it's ready to go by the time you hit the kitchen. Still, it sounds like the invention is a few years off at best, but serious drinkers better hope this thing automatically alerts you when the beans are running low, too.

[Image courtesy of CoffeeToThePeople]