Showing 17 posts tagged ai

Today, backed by funding from the National Science Foundation, the Office of Naval Research, Google, Microsoft, and Qualcomm, Saxena and his team unveiled what they call RoboBrain, a kind of online service packed with information and artificial intelligence software that any robot could tap into. Working alongside researchers at the University of California at Berkeley, Brown University, and Cornell University, they hope to create a massive online “brain” that can help all robots navigate and even understand the world around them. “The purpose,” says Saxena, who dreamed it all up, “is to build a very good knowledge graph—or a knowledge base—for robots to use.”

Any researcher anywhere will be able use the service wirelessly, for free, and transplant its knowledge to local robots. These robots, in turn, will feed what they learn back into the service, improving RoboBrain’s know-how. Then the cycle repeats.

The Plan to Build a Massive Online Brain for All the World’s Robots | Enterprise | WIRED

The processor may thus be able to recognize that a woman in a video is picking up a purse, or control a robot that is reaching into a pocket and pulling out a quarter. Humans are able to recognize these acts without conscious thought, yet today’s computers and robots struggle to interpret them. The chip contains 5.4 billion transistors, yet draws just 70 milliwatts of power. By contrast, modern Intel processors in today’s personal computers and data centers may have 1.4 billion transistors and consume far more power — 35 to 140 watts.

IBM Develops New Computer Chip Designed to Work Like the Brain - NYTimes.com

Beginning in July, Mr. Ferrara said, these articles will be written using software from a company called Automated Insights, which The Associated Press has invested in, paired with data from Zacks Investment Research. On its website, Automated Insights says it can produce copy “written with the tone, personality and variability of a human writer.”

The A.P. Plans to Automate Quarterly Earnings Articles - NYTimes.com

The Amazon.com algorithm is very good at using what you’ve just bought to recommend things that you’ll want to buy, he observed, but it can be hard to tell why. Perhaps you’ll be attracted to the content of the recommendation–or perhaps it’s the fact that the cover is also green, or that the print is in Helvetica font. In contrast, a skilled librarian is usually going to recommend a book solely because of its intellectual value, without any lurking, contentless variables. The librarian is therefore likelier to send a person in a direction they wouldn’t otherwise have gone in a way that will advance their thinking, education, or aesthetic taste, because they’re not just meeting needs that have already been expressed.

Would You Rather Get Tips from an Expert or an Algorithm? - Conor Friedersdorf - The Atlantic

Scientists long believed humans could distinguish six basic emotions: happiness, sadness, fear, anger, surprise, and disgust. But earlier this year, researchers at Ohio State University found that humans are capable of reliably recognizing more than 20 facial expressions and corresponding emotional states—including a vast array of compound emotions like “happy surprise” or “angry fear.” Recognizing tone of voice and identifying facial expressions are tasks in the realm of perception where, traditionally, humans perform better than computers. Or, rather, this used to be the case. As facial recognition software improves, computers are getting the edge. The Ohio State study, when attempted by a facial recognition software program, achieved an accuracy rate on the order of 96.9 percent in the identification of the six basic emotions, and 76.9 percent in the case of the compound emotions. Computers are now adept at figuring out how we feel.

Computers Are Getting Better Than Humans Are at Facial Recognition - Norberto Andrade - The Atlantic

IBM’s Watson supercomputer has already mastered Jeopardy! and can even whip up an innovative recipe. Next step: it’ll be elected to the presidency after dominating against humans in a series of debates. The computer’s new Debater function is what it sounds like: after being given a topic, Watson will mine millions of Wikipedia articles until it determines the pros and cons of a controversial topic, and will the enumerate the merits of both sides. Argument over. Move along. Or, maybe not. … Watson searches Wikis for the pros and cons of banning the sale of violent videogames to minors. After less than a minute, the computer churns out a few points, but they’re conflicting: Watson suggests violent videogames both cause violent acts and that there is not a causal link between violent games and real violence. Which, in fact, is about right. Different studies have come to wildly different conclusions about the correlation between violence in games and violent acts. That’s why Watson doesn’t yet make value decisions about which side of a debate is “correct,” but only lists the points generally brought up by both sides. So you’ll still have to make up your own mind about what’s right. (Ugh, I know. Sorry.) But if nothing else, contrarianism just got a lot easier.

IBM’s Watson Can Now Argue For You | Popular Science (via myserendipities)

(via myserendipities)

For this essay, Mr. Perelman has entered only one keyword: “privacy.” With the click of a button, the program produced a string of bloated sentences that, though grammatically correct and structurally sound, have no coherent meaning. Not to humans, anyway. But Mr. Perelman is not trying to impress humans. He is trying to fool machines.

Writing Instructor, Skeptical of Automated Grading, Pits Machine vs. Machine - Technology - The Chronicle of Higher Education

Google’s “deep learning” clusters of computers churn through massives chunks of data looking for patterns—and it seems they’ve gotten good at it. So good, in fact, that Google announced at the Machine Learning Conference in San Francisco that its deep learning clusters have learned to recognize objects on their own.

How Google’s “Deep Learning” Is Outsmarting Its Human Employees ⚙ Co.Labs ⚙ code community

So you say “Why does water on the side of the glass move up?” and it can say “Well, that’s the cohesive forces of water and the glass” and it will explain Van der Waals forces or whatever it might be. But literally you’re able to have an AI answer any question you want no matter how stupid you think it might be. So you can spend your time with your fellow students and your faculty members in a way that builds empathy and builds connection and builds community, which is what you should be doing with other humans.

AI Will Deliver Education on Demand | In Their Own Words | Big Think

In the case of artificial intelligence, it seems a reasonable prediction that some time in this or the next century intelligence will escape from the constraints of biology.

Quote by Cambridge philosophy professor Huw PriceCambridge.  Quote found at phys.org website article “Cambridge to study technology’s risk to humans” (via horizonwatching)

(via horizonwatching)