MOUNTAIN VIEW, Calif. — Anyone driving the twists of Highway 1 between San Francisco and Los Angeles recently may have glimpsed a Toyota Prius with a curious funnel-like cylinder on the roof. Harder to notice was that the person at the wheel was not actually driving. The car is a project of Google, which has been working in secret but in plain view on vehicles that can drive themselves, using artificial-intelligence software that can sense anything near the car and mimic the decisions made by a human driver...
Tag Archives | Artificial Intelligence
DARPA and Google seemed to be joined at the hip these days… From the New York Times:
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Give a computer a task that can be crisply defined — win at chess, predict the weather — and the machine bests humans nearly every time. Yet when problems are nuanced or ambiguous, or require combining varied sources of information, computers are no match for human intelligence.
Few challenges in computing loom larger than unraveling semantics, understanding the meaning of language. One reason is that the meaning of words and phrases hinges not only on their context, but also on background knowledge that humans learn over years, day after day.
Since the start of the year, a team of researchers at Carnegie Mellon University, supported by grants from the Defense Advanced Research Projects Agency and Google, and tapping into a research supercomputing cluster provided by Yahoo, has been fine-tuning a computer system that is trying to master semantics by learning more like a human.
There’s just not something right about this. Duncan Geere writes in Wired UK:
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Researchers at the Georgia Institute of Technology may have made a terrible, terrible mistake: They’ve taught robots how to deceive.
It probably seemed like a good idea at the time. Military robots capable of deception could trick battlefield foes who aren’t expecting their adversaries to be as smart as a real soldier might be, for instance. But when machines rise up against humans and the robot apocalypse arrives, we’re all going to be wishing that Ronald Arkin and Alan Wagner had kept their ideas to themselves.
The pair detailed how they managed it in a paper published in the International Journal of Social Robotics. Two robots — one black and one red — were taught to play hide and seek. The black, hider, robot chose from three different hiding places, and the red, seeker, robot had to find him using clues left by knocked-over colored markers positioned along the paths to the hiding places.
Arthur C. Clarke’s 2010: Odyssey Two predicted this was the year when humanity would make contact with an alien intelligence. But if you’ve seen the work of U-Ram Choe, you know the shocking truth: They’re already here.
The brainchild of the South Korean sculptor, “New Urban Species” is an art show disguised as a natural history exhibit from the future, and it’s one of the most engaging displays on tour this year.
U-Ram Choe builds art that comes from a not-to-distant-tomorrow, where organic life and mechanized objects have become one. His kinetic sculptures are not only creepy-fun marvels, they also create a compelling dialog about machine consciousness and the coming Singularity.
In his book Vehicles: Experiments in Synthetic Psychology, brain researcher Valentino Braitenberg demonstrates how human beings invest the increasingly complex behaviors of mechanical devices with a range of values and abilities including aggression, creative thinking, personality and free will, and how we project ourselves into these moving forms.… Read the rest
Vancouver, British Columbia “I actually think most people don’t want Google to answer their questions,” said the search giant’s chief executive, Eric Schmidt, in a recent and controversial interview. “They want Google to tell them what they should be doing next.” Do we really desire Google to tell us what we should be doing next? I believe that we do, though with some rather complicated qualifiers. Science fiction never imagined Google, but it certainly imagined computers that would advise us what to do. HAL 9000, in “2001: A Space Odyssey,” will forever come to mind, his advice, we assume, eminently reliable — before his malfunction. But HAL was a discrete entity, a genie in a bottle, something we imagined owning or being assigned. Google is a distributed entity, a two-way membrane, a game-changing tool on the order of the equally handy flint hand ax, with which we chop our way through the very densest thickets of information. Google is all of those things, and a very large and powerful corporation to boot...
For those who don't know the premise of the 1987—88 series, where every episode begins with the tagline "twenty minutes into the future," here's a quick recap. Investigative reporter Edison Carter works for Network 23 in an undefined cyberpunk future, where all media is ad-supported and ratings rule all. Reporters carry "rifle cameras," gun-shaped video cameras, which are wirelessly linked back to a "controller" in the newsroom. Edison's controller is Theora, who accesses information online — everything from apartment layouts to secret security footage — to help him with investigations. They're aided in their investigations by a sarcastic AI named Max Headroom, built by geek character Bryce and based on Edison's memories. Sometimes producer Murray (Jeffrey Tambor) helps out, as does Reg, a pirate TV broadcaster known as a "blank" because he's erased his identity from corporate databases. In the world of Max Headroom, it's illegal for televisions to have an off switch. Terrorists are reality TV stars. And super-fast subliminal advertisements called blipverts have started to blow people up by overstimulating the nervous systems of people who are sedentary and eat too much fat...
From Surfdaddy Orca on h+ magazine:
The military is funding a project to create neural computing using memristors, a sophisticated circuit component which HP Labs describes as a stepping stone to “computers that can make decisions” and “appliances that learn from experience.”
In a video, HP researcher R. Stanley Williams explains how his team created the first memristor in 2008, while the article also explains how U.C. researchers made an even more startling discover: the memristor “already existed in nature.”
It matches the electrical activity controlling the flux of potassium and sodium ions across a cell membrane, suggesting memristors could ultimately function like a human synapse, providing the “missing link” of memory technology.
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HP believes memristors “could one day lead to computer systems that can remember and associate patterns in a way similar to how people do.” But DARPA’s SyNAPSE project already appears committed to scaling memristor technology to perform like a human synapse.