AI « eripsa

On Chalmers' and the Singularity

David Chalmers at Singularity Summit 2009 — Simulation and the Singularity.

First, an uncontroversial assumption: humans are machines. We are machines that create other machines, and as Chalmers points out, all that is necessary for an ‘intelligence explosion’ is that the machines we create [...]

Why Robotics is less important than AI

Augmented (hyper)Reality: Domestic Robocop from Keiichi Matsuda on Vimeo.

nobody is watching

finally

Jon links to Forbes’ special edition on AI. I’ll go through most of these, commenting when appropriate. For instance:

Dumb Like Google

While the switch to “stupid” statistically based computing has given us tools like Google, it came with a steep price, namely, abandoning the cherished notion that computers will one day be like [...]

the ethos of internet

at least it’s an ethos

This viddie is a rather boring demonstration of Wolfram Alpha. It does basically what it has claimed to be able to do: it can process data in a variety of domains, answer queries in natural language that pertain to the data, and present answers and other relevant or [...]

i spent spring break thinking about the singularity

Discussing the singularity is often confusing because it makes claims about both technology and artificial intelligence, and its hard to see how the two fit together. In fact, some philosophers have argued that technology is entirely irrelevant to studying the mind using the techniques of artificial intelligence. The idea is that cognitive science is [...]

search is solved

Next we solve knowledge.

From Wolfram Alpha Computes Answers To Factual Questions. This Is Going To Be Big.

There is no risk of Wolfram Alpha becoming too smart, or taking over the world. It’s good at answering factual questions; it’s a computing machine, a tool — not a mind.

I predict that this will [...]

this robot uses language

From Chaos filter helps robots make sense of the world

The Oxford group’s FabMap software tackles those problems by having a robot assign a visual “vocabulary” of up to a thousand individual “words” for each scene, every two seconds.

The “words” describe particular objects in a scene, for example a bicycle seat, and the software learns to link words that occur together into groups that are given words of their own. For example, the word “bicycle seat” is almost always found associated with the words “bicycle wheel” and “bicycle chain”, so they linked together in a so-called “bag of words” – “bicycle”.

That means when the robot revisits a scene that now lacks, say, a bicycle, it notes a single change rather than the disappearance of many smaller features. That prevents too much significance being attached to the bike’s disappearance and means the robot is more likely to recognise the scene as familiar, says Newman.

Video of this bot posted below the break because its shitty ad autoplays.
Continue reading this robot uses language

synthetic sapience

As workers in the field fully understand, the phrase “artificial intelligence” is a terrible way to pick out the topic. Artificial intelligence is to be real intelligence, created by artifice. But artificial diamonds are not real diamonds created by artifice. They are fake diamonds. Real diamonds created in a laboratory are synthetic diamonds. And [...]

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