robots & ai

Step aside for the flex Terminator X

218.jpg

From assembly line robots to ATMs and self-checkout terminals, each year intelligent machines take over more jobs formerly held by humans; and experts predict this trend will not stop anytime soon. […]

“By 2015, robots should be able to assist teachers in the classroom. By 2018, they should be able to teach on their own, and this will cause many teachers to lose their jobs.” […]

The ultimate tool to replace doctors could be the nanorobot, a tiny microscopic-size machine that can whiz through veins replacing aging and damaged cells with new youthful ones. This nanowonder with expected development time of mid-to-late 2030s could eliminate nearly all need for human doctors. […]

Experts estimate by 2035, 50 million jobs will be lost to machines […] and by the end of the century, or possibly much sooner, all jobs will disappear. Some believe the final solution will take the form of a Basic Income Guarantee, made available as a fundamental right for everyone. […] America should create a $25,000 annual stipend for every U.S. adult, Brain says, which would be phased in over two-to-three decades. The payments could be paid for by ending welfare programs, taxing automated systems, adding a consumption tax, allowing ads on currency, and other creative ideas.

{ IEET | Continue reading }

Arianna Huffington Unveils New ‘Huffington Man’ Aggregated From 84 Different Humans

2.jpg

Many are only just getting their heads around the idea of 3D printing but scientists at MIT are already working on an upgrade: 4D printing.

At the TED conference in Los Angeles, architect and computer scientist Skylar Tibbits showed how the process allows objects to self-assemble.

It could be used to install objects in hard-to-reach places such as underground water pipes, he suggested.

It might also herald an age of self-assembling furniture, said experts.

{ BBC | Continue reading }

Some, to example, there are again whose movements are automatic. Perceive. That is his appropriate sun.

8.jpg

There’s growing privacy concern over flying robots, or “drones.” Organizations like the EFF and ACLU have been raising the alarm over increased government surveillance of US citizens. Legislators haven’t been quick to respond to concerns of government spying on citizens. But Texas legislators are apparently quite concerned that private citizens operating hobby drones might spot environmental violations by businesses.

{ Robots | Continue reading }

‘Between grief and nothing I will take grief.’ –Faulkner

342.jpg

There are good reasons for any species to think darkly of its own extinction. […]

Simple, single-celled life appeared early in Earth’s history. A few hundred million whirls around the newborn Sun were all it took to cool our planet and give it oceans, liquid laboratories that run trillions of chemical experiments per second. Somewhere in those primordial seas, energy flashed through a chemical cocktail, transforming it into a replicator, a combination of molecules that could send versions of itself into the future.

For a long time, the descendants of that replicator stayed single-celled. They also stayed busy, preparing the planet for the emergence of land animals, by filling its atmosphere with breathable oxygen, and sheathing it in the ozone layer that protects us from ultraviolet light. Multicellular life didn’t begin to thrive until 600 million years ago, but thrive it did. In the space of two hundred million years, life leapt onto land, greened the continents, and lit the fuse on the Cambrian explosion, a spike in biological creativity that is without peer in the geological record. The Cambrian explosion spawned most of the broad categories of complex animal life. It formed phyla so quickly, in such tight strata of rock, that Charles Darwin worried its existence disproved the theory of natural selection.

No one is certain what caused the five mass extinctions that glare out at us from the rocky layers atop the Cambrian. But we do have an inkling about a few of them. The most recent was likely borne of a cosmic impact, a thudding arrival from space, whose aftermath rained exterminating fire on the dinosaurs. […]

Nuclear weapons were the first technology to threaten us with extinction, but they will not be the last, nor even the most dangerous. […] There are still tens of thousands of nukes, enough to incinerate all of Earth’s dense population centers, but not enough to target every human being. The only way nuclear war will wipe out humanity is by triggering nuclear winter, a crop-killing climate shift that occurs when smoldering cities send Sun-blocking soot into the stratosphere. But it’s not clear that nuke-levelled cities would burn long or strong enough to lift soot that high. […]

Humans have a long history of using biology’s deadlier innovations for ill ends; we have proved especially adept at the weaponisation of microbes. In antiquity, we sent plagues into cities by catapulting corpses over fortified walls. Now we have more cunning Trojan horses. We have even stashed smallpox in blankets, disguising disease as a gift of good will. Still, these are crude techniques, primitive attempts to loose lethal organisms on our fellow man. In 1993, the death cult that gassed Tokyo’s subways flew to the African rainforest in order to acquire the Ebola virus, a tool it hoped to use to usher in Armageddon. In the future, even small, unsophisticated groups will be able to enhance pathogens, or invent them wholesale. Even something like corporate sabotage, could generate catastrophes that unfold in unpredictable ways. Imagine an Australian logging company sending synthetic bacteria into Brazil’s forests to gain an edge in the global timber market. The bacteria might mutate into a dominant strain, a strain that could ruin Earth’s entire soil ecology in a single stroke, forcing 7 billion humans to the oceans for food. […]

The average human brain can juggle seven discrete chunks of information simultaneously; geniuses can sometimes manage nine. Either figure is extraordinary relative to the rest of the animal kingdom, but completely arbitrary as a hard cap on the complexity of thought. If we could sift through 90 concepts at once, or recall trillions of bits of data on command, we could access a whole new order of mental landscapes. It doesn’t look like the brain can be made to handle that kind of cognitive workload, but it might be able to build a machine that could. […]

To understand why an AI might be dangerous, you have to avoid anthropomorphising it. […] You can’t picture a super-smart version of yourself floating above the situation. Human cognition is only one species of intelligence, one with built-in impulses like empathy that colour the way we see the world, and limit what we are willing to do to accomplish our goals. But these biochemical impulses aren’t essential components of intelligence. They’re incidental software applications, installed by aeons of evolution and culture. Bostrom told me that it’s best to think of an AI as a primordial force of nature, like a star system or a hurricane — something strong, but indifferent. If its goal is to win at chess, an AI is going to model chess moves, make predictions about their success, and select its actions accordingly. It’s going to be ruthless in achieving its goal, but within a limited domain: the chessboard. But if your AI is choosing its actions in a larger domain, like the physical world, you need to be very specific about the goals you give it. […]

‘The really impressive stuff is hidden away inside AI journals,’ Dewey said. He told me about a team from the University of Alberta that recently trained an AI to play the 1980s video game Pac-Man. Only they didn’t let the AI see the familiar, overhead view of the game. Instead, they dropped it into a three-dimensional version, similar to a corn maze, where ghosts and pellets lurk behind every corner. They didn’t tell it the rules, either; they just threw it into the system and punished it when a ghost caught it. ‘Eventually the AI learned to play pretty well,’ Dewey said. ‘That would have been unheard of a few years ago, but we are getting to that point where we are finally starting to see little sparkles of generality.’

{ Ross Andersen/Aeon | Continue reading }

Blow me to Bermuda

217.jpg

This research constitutes an initial investigation into key issues which arise in designing a flying humanoid robot (FHR), with a focus on human-robot interaction (HRI). The humanoid form offers an interface for natural communication; flight offers excellent mobility. Combining both will yield companion robots capable of approaching, accompanying, and communicating naturally with humans in difficult environments. Problematic is how such a robot should best fly around humans, and what effect a robot’s flight will have on a person in terms of non-verbal communicative cues. To answer these questions, we propose an extension to existing proxemics theory (“z-proxemics”) and predict how typical humanoid flight motions will be perceived (“z-kinesics”). Data obtained from participants watching animated sequences are analyzed to check our predictions. The paper also reports on the building of a flying humanoid robot, which we will use in interactions. […]

One possible design for a flying humanoid robot (FHR): “Angel”, a soft, safe companion robot intended for playful and affectionate interactions who a) approaches b) entertains, c) accompanies and guides, and d) serves humans.

{ IEEE | PDF }

‘I used to think I could change the world but now I think it changed me.’ –John Isaacs

61.jpg

Memory is a strange thing. Just using the verb “smash” in a question about a car crash instead of “bump” or “hit” causes witnesses to remember higher speeds and more serious damage. Known as the misinformation effect, it is a serious problem for police trying to gather accurate accounts of a potential crime. There’s a way around it, however: get a robot to ask the questions. […]

Two groups - one with a human and one a robot interviewer - were asked identical questions that introduced false information about the crime, mentioning objects that were not in the scene, then asking about them later. When posed by humans, the questions caused the witnesses’ recall accuracy to drop by 40 per cent - compared with those that did not receive misinformation - as they remembered objects that were never there. But misinformation presented by the NAO robot didn’t have an effect.

{ NewScientist | Continue reading }

I’m sorry, I wasn’t listening

f.jpg

Slowly, but surely, robots (and virtual ’bots that exist only as software) are taking over our jobs; according to one back-of-the-envelope projection, in ninety years “70 percent of today’s occupations will likewise be replaced by automation.” […]

If history repeats itself, robots will replace our current jobs, but, says Kelly, we’ll have new jobs, that we can scarcely imagine:

In the coming years robot-driven cars and trucks will become ubiquitous; this automation will spawn the new human occupation of trip optimizer, a person who tweaks the traffic system for optimal energy and time usage. Routine robosurgery will necessitate the new skills of keeping machines sterile. When automatic self-tracking of all your activities becomes the normal thing to do, a new breed of professional analysts will arise to help you make sense of the data.

Well, maybe. Or maybe the professional analysts will be robots (or least computer programs), and ditto for the trip optimizers and sterilizers.

{ The New Yorker | Continue reading }

Subjectivity after Wittgenstein: The Post-Cartesian Subject and the ‘Death of Man’

624.jpg

Foxconn, the maker of Apple’s iPhone and iPad, plans to rely more on robots for manufacturing over the coming years, allowing the company to invest more in research and development and save on labor costs. […]

Local Chinese media reported that Foxconn CEO Terry Gou had said the company plans on deploying 1 million robots over the next three years to complete routine assembly tasks. Foxconn currently uses 10,000 robots. […]

The Taiwan-based company has more than 1 million employees, the majority of which are located at facilities in mainland China. Foxconn is one of the world’s largest producers of electronics. Aside from Apple, the company also manufactures products for companies like HP, Sony and Nintendo.

{ IT World | Continue reading }

Each one is sister to another and he binds them all with an outer ring and giveth speed to the feet of men

6.jpg

The gap between professional race drivers and self-driven cars isn’t all that big, as a race at the Thunderhill Raceway in California proved yesterday. Although the human driver achieved victory against the self-driven Audi TTS in a head-to-head, he only managed to shave off a few seconds from the computer’s time.

{ Silicon Angle | Continue reading }

photo { Roger Minick }

‘We’re fucked.’ –Tim Geoghegan

{ Thanks Tim }

Try it with the glycerine

76.jpg

Can you determine a person’s character in a single interaction? Can you judge whether someone you just met can be trusted when you have only a few minutes together? And if you can, how do you do it?

Using a robot named Nexi, psychology professor David DeSteno and collaborators […] have figured out the answer. […]

In the absence of reliable information about a person’s reputation, nonverbal cues can offer a look into a person’s likely actions. This concept has been known for years, but the cues that convey trustworthiness or untrustworthiness have remained a mystery. Collecting data from face-to-face conversations with research participants where money was on the line, DeSteno and his team realized that it’s not one single non-verbal movement or cue that determines a person’s trustworthiness, but rather sets of cues.

{ EurekAlert | Continue reading }

photo { Garry Winogrand }

‘Mistakes are the portals of discovery.’ –James Joyce

28.jpg

Mr. Arnuk is a professional stockbroker. But suddenly, and improbably, he has emerged as a leading critic of the very market in which he works. He and his business partner, Joseph C. Saluzzi, have become the voice of those plucky souls who try to swim with Wall Street’s sharks without getting devoured. […]

These two men are taking on one of the most powerful forces in finance today: high-frequency trading. H.F.T., as it’s known, is the biggest thing to hit Wall Street in years. On any given day, this lightning-quick, computer-driven form of trading accounts for upward of half of all of the business transacted on the nation’s stock markets. […]

Proponents of high-frequency trading call them embittered relics — quixotic, old-school stockbrokers without the skills to compete in sophisticated, modern markets. And, in a sense, those critics are right: they are throwbacks. Both men say they wish Wall Street could go back to a calmer, simpler time, all the way back to, say, 2004. […]

The two want to require H.F.T. firms to honor the prices they offer for a stock for at least 50 milliseconds — less than a wink of an eye, but eons in high-frequency time. […]

Mr. Arnuk then eyed the stock’s price on dozens of other trading platforms — private ones most people can’t see. Known as the dark pools, they help hedge funds and other big-money players trade in relative secrecy.

Everywhere, different prices kept flickering on the screens. Computers at high-speed trading firms, Mr. Arnuk said, were issuing buy and sell orders and then canceling them almost as fast, testing the market. It can be hell on human brokers. On the tape, the stock’s price was unchanged, but beneath the tape, things were changing all the time. […]

On the afternoon of May 6, 2010, shortly before 3 o’clock, the stock market plummeted. In just 15 minutes, the Dow tumbled 600 points — bringing its loss for the day to nearly 1,000. Then, just as fast, and just as inexplicably, it sprang back nearly 600 points, like a bungee jumper.

It was one of the most harrowing moments in Wall Street history. And for many people outside financial circles, it was the first clue as to just how much new technology was changing the nation’s financial markets. The flash crash, a federal report later concluded, “portrayed a market so fragmented and fragile that a single large trade could send stocks into a sudden spiral.” It turned out that a big mutual fund firm had sold an unusually large number of futures contracts, setting off a feedback loop among computers at H.F.T. firms that sent the market into a free fall. […]

Since the 2010 flash crash, mini flash crashes have occurred with surprising regularity in a wide range of individual stocks. Last spring, a computer glitch scuttled the initial public offering of one of the nation’s largest electronic exchanges, BATS, and computer problems at the Nasdaq stock market dogged the I.P.O. of Facebook.

And last month, Knight Capital, a brokerage firm at the center of the nation’s stock market for almost a decade, nearly collapsed after it ran up more than $400 million of losses in minutes, because of errant technology.

{ NY Times | Continue reading }