The CubeStormer 3 robot cracked the tricky puzzle in an incredible 3.253 seconds.
The triumph took place at the Big Bang Fair at the NEC.
The robot, which uses ARM(r) processor technology, needed to spin like mad to beat the record of 5.27 seconds set just over two years ago by its predecessor CubeStormer II.
Just found out about this, even through the video is about two years old, I just had to show you guys this. I hope no one posted anything on this here before.
From the youtube video description,
At CES 2011, Fujitsu’s Paul Moore talks about their concept teddy bear, which includes a webcam in its nose and has a bunch of sensors that can react to objects around it. Aimed at an aging population in Japan, the robot bear at first seems creepy, but when it waves back at you, it will melt your heart.
Robot Teddy Bear by Fujitsu (2011)
It’s a real-life version of the teddy bear from A.I. — complete with a webcam in its nose. That couldn’t possibly lead to embarrassment.
I wonder what become of this thing. I haven’t seen anything written on it post 2011. I’d be interested to hear whether or not they’re selling this thing in Japan yet.
While I’m impressed by this artificial intelligence technology, its shocking how many sexual predators there are out there who target unsuspecting children. Make no mistake, I’m glad they created this thing, despite what it reveals about how depraved people can be. Maybe law enforcement here in the US could use similar software to catch child predators here.
A Dutch organization called Terre des Hommes has identified some 1,000 alleged child-sex predators by luring them in with a computer-animated prepubescent Philippine girl on Internet chat rooms. The online victimization of children, it would appear, is far worse than imagined.
The virtual girl, named Sweetie, was created by TDH Netherlands to notify the public — and police organizations — about how frequently children in developing countries are being victimized online.
Imagine taking a college exam, and, instead of handing in a blue book and getting a grade from a professor a few weeks later, clicking the “send” button when you are done and receiving a grade back instantly, your essay scored by a software program.
And then, instead of being done with that exam, imagine that the system would immediately let you rewrite the test to try to improve your grade.
EdX, the nonprofit enterprise founded by Harvard and the Massachusetts Institute of Technology to offer courses on the Internet, has just introduced such a system and will make its automated software available free on the Web to any institution that wants to use it. The software uses artificial intelligence to grade student essays and short written answers, freeing professors for other tasks.
The new service will bring the educational consortium into a growing conflict over the role of automation in education. Although automated grading systems for multiple-choice and true-false tests are now widespread, the use of artificial intelligence technology to grade essay answers has not yet received widespread endorsement by educators and has many critics.
The Obama administration is planning a decade-long scientific effort to examine the workings of the human brain and build a comprehensive map of its activity, seeking to do for the brain what the Human Genome Project did for genetics.
The project, which the administration has been looking to unveil as early as March, will include federal agencies, private foundations and teams of neuroscientists and nanoscientists in a concerted effort to advance the knowledge of the brain’s billions of neurons and gain greater insights into perception, actions and, ultimately, consciousness.
Scientists with the highest hopes for the project also see it as a way to develop the technology essential to understanding diseases like Alzheimer’s and Parkinson’s, as well as to find new therapies for a variety of mental illnesses.
Moreover, the project holds the potential of paving the way for advances in artificial intelligence.
The project, which could ultimately cost billions of dollars, is expected to be part of the president’s budget proposal next month. And, four scientists and representatives of research institutions said they had participated in planning for what is being called the Brain Activity Map project.
Prototype software can give early warnings of disease or violence outbreaks by spotting clues in news reports.
Researchers have created software that predicts when and where disease outbreaks might occur based on two decades of New York Times articles and other online data. The research comes from Microsoft and the Technion-Israel Institute of Technology.
The system could someday help aid organizations and others be more proactive in tackling disease outbreaks or other problems, says Eric Horvitz, distinguished scientist and codirector at Microsoft Research. “I truly view this as a foreshadowing of what’s to come,” he says. “Eventually this kind of work will start to have an influence on how things go for people.” Horvitz did the research in collaboration with Kira Radinsky, a PhD researcher at the Technion-Israel Institute.
The system provides striking results when tested on historical data. For example, reports of droughts in Angola in 2006 triggered a warning about possible cholera outbreaks in the country, because previous events had taught the system that cholera outbreaks were more likely in years following droughts. A second warning about cholera in Angola was triggered by news reports of large storms in Africa in early 2007; less than a week later, reports appeared that cholera had become established. In similar tests involving forecasts of disease, violence, and a significant numbers of deaths, the system’s warnings were correct between 70 to 90 percent of the time.
Horvitz says the performance is good enough to suggest that a more refined version could be used in real settings, to assist experts at, for example, government aid agencies involved in planning humanitarian response and readiness. “We’ve done some reaching out and plan to do some follow-up work with such people,” says Horvitz.
Rex the bionic man shows how close technology is to catching up with – and exceeding – the abilities of the human body
He cuts a dashing figure, this gentleman: nearly seven feet tall, and possessed of a pair of striking brown eyes. With a fondness for Ralph Lauren, middle-class rap and sharing a drink with friends, Rex is, in many ways, an unexceptional chap.
Except that he is, in fact, a real-world bionic man. Housed within a frame of state-of-the-art prosthetic limbs is a functional heart-lung system, complete with artificial blood pumping through a network of pulsating modified-polymer arteries. He has a bionic spleen to clean the blood, and an artificial pancreas to keep his blood sugar on the level. Behind the deep brown irises are a pair of retinal implants, giving him a vista of the crowds of curious humans who meet his gaze.
He even has a degree of artificial intelligence: talk to him, and he’ll listen (through his cochlear implants), before using a speech generator to respond. Although, like us, he sometimes stumbles over his words, memorably describing his idol Eminem as a “well-known crapper”, before quickly correcting himself.
Nonprofit Common Crawl Offers a Database of the Entire Web, for Free, and Could Open Up Google to New Competition
Common Crawl supplies a database of over five billion Web pages in the hope that it will inspire new research or online services.
Why It Matters
A freely available copy of billions of Web pages could create competition for established giants such as Google.
Google famously started out as little more than a more efficient algorithm for ranking Web pages. But the company also built its success on crawling the Web—using software that visits every page in order to build up a vast index of online content.
A nonprofit called Common Crawl is now using its own Web crawler and making a giant copy of the Web that it makes accessible to anyone. The organization offers up over five billion Web pages, available for free so that researchers and entrepreneurs can try things otherwise possible only for those with access to resources on the scale of Google’s.
“The Web represents, as far as I know, the largest accumulation of knowledge, and there’s so much you can build on top,” says entrepreneur Gilad Elbaz, who founded Common Crawl. “But simply doing the huge amount of work that’s necessary to get at all that information is a large blocker; few organizations … have had the resources to do that.”
New search engines are just one of the things that can be built using an index of the Web, says Elbaz, who points out that Google’s translation software was trained using online text available in multiple languages. “The only way they could do that was by starting with a massive crawl. That’s put them on the way to build the Star Trek translator,” he says. “Having an open, shared corpus of human knowledge is simply a way of democratizing access to information that’s fundamental to innovation.”
Kamakshi Sivaramakrishnan calls herself an “advertising quant.” Most people with a PhD in her field of information theory are recruited onto Wall Street if they decide to leave the halls of academia, she says.
She chose to go into advertising instead, and, with her startup, Drawbridge, is applying her expertise to a problem central to the bottom line of a wide swath of digital companies: how to make advertising pay as audiences move over to mobile devices. Founded in 2010, Drawbridge is using statistical methods that rely on anonymous data to track people as they move between their smartphones, tablets, and PCs.
The company’s technology has attracted attention both because of its high-profile backers—Kleiner Perkins Caufield & Byers and Sequoia Capital, two top Silicon Valley funders, have invested $6.5 million—and because it claims its approach will protect an individual’s privacy while also filling an important gap in the still-nascent mobile advertising technology market.
“Retargeting is a powerful strategy on the Web, and we are bridging that to mobile devices as well,” Sivaramakrishnan says. For example, Drawbridge might know that I visited a retailer’s site on my home computer, and show me an advertisement on my smartphone at work the next day. Drawbridge says it has matched more than 200 million devices so far to create anonymous user profiles. These profiles, Sivaramakrishnan says, allow it to buy ads for customers such as travel websites and online retailers and improve their investment return by two to three times. The company is also using these methods to help mobile app makers recruit users who are more likely to stick with their software.
Today, a number of startups are working on improved tracking of people tied to particular devices, and, as Drawbridge is now doing, across different computers they regularly use.
Creative Blocks: The Very Laws of Physics Imply That Artificial Intelligence Must Be Possible. What’s Holding Us Up?
It is uncontroversial that the human brain has capabilities that are, in some respects, far superior to those of all other known objects in the cosmos. It is the only kind of object capable of understanding that the cosmos is even there, or why there are infinitely many prime numbers, or that apples fall because of the curvature of space-time, or that obeying its own inborn instincts can be morally wrong, or that it itself exists. Nor are its unique abilities confined to such cerebral matters. The cold, physical fact is that it is the only kind of object that can propel itself into space and back without harm, or predict and prevent a meteor strike on itself, or cool objects to a billionth of a degree above absolute zero, or detect others of its kind across galactic distances.
But no brain on Earth is yet close to knowing what brains do in order to achieve any of that functionality. The enterprise of achieving it artificially — the field of ‘artificial general intelligence’ or AGI — has made no progress whatever during the entire six decades of its existence.
Why? Because, as an unknown sage once remarked, ‘it ain’t what we don’t know that causes trouble, it’s what we know for sure that just ain’t so’ (and if you know that sage was Mark Twain, then what you know ain’t so either). I cannot think of any other significant field of knowledge in which the prevailing wisdom, not only in society at large but also among experts, is so beset with entrenched, overlapping, fundamental errors. Yet it has also been one of the most self-confident fields in prophesying that it will soon achieve the ultimate breakthrough.