01 MAR 2016 by ideonexus

 "Intelligent" Holds "Paranormal" Connotations

As soon as AI successfully solves a problem, the problem is no longer a part of AI. Pamela McCorduck calls it an "odd paradox," that "practical AI successes, computational programs that actually achieved intelligent behavior, were soon assimilated into whatever application domain they were found to be useful in, and became silent partners alongside other problem-solving approaches, which left AI researchers to deal only with the "failures," the tough nuts that couldn't yet be cracked."[3]
  1  notes

"Interesting. Seems similar to the notion that "paranormal" things become "normal" once there are scientific explanations for them."

Also: God of the gaps.

19 NOV 2015 by ideonexus

 A Single Neuron Can Recognize Patterns

Neocortical neurons have thousands of excitatory synapses. It is a mystery how neurons integrate the input from so many synapses and what kind of large-scale network behavior this enables. It has been previously proposed that non-linear properties of dendrites enable neurons to recognize multiple patterns. In this paper we extend this idea by showing that a neuron with several thousand synapses arranged along active dendrites can learn to accurately and robustly recognize hundreds of unique p...
  1  notes
 
13 NOV 2015 by ideonexus

 Artificial Intelligence VS Intelligence Augmentation

IA, or Intelligence Augmentation, is all about empowering humans with tools that make them more capable and more intelligent, while traditional AI has been about removing humans fully from the loop. The traditional torch bearer for IA is Douglas Engelbart, who laid the seeds for much of the Personal Computer revolution with his famous Mother of All Demos in 1968, where he demoed the computer mouse, hypertext, windowing, videoconferencing, and more for the first time. Douglas Engelbart was foc...
  1  notes
 
20 MAR 2015 by ideonexus

 Lojban as AI Language

Can machines feel pride? Not sure question means anything. But you've seen dogs with hurt feelings and Mike had several times as complex a neural network as a dog. What had made him unwilling to talk to other humans (except strictly business) was that he had been rebuffed: They had not talked to him. Programs, yes--Mike could be programmed from several locations but programs were typed in, usually, in Loglan. Loglan is fine for syllogism, circuitry, and mathematical calculations, but lacks fl...
  1  notes
 
14 OCT 2013 by ideonexus

 The Problem of Machine-Aggregated Knowledge

he nuts and bolts of artificial-intelligence research can often be more usefully interpreted without the concept of AI at all. For example, in 2011, IBM scientists unveiled a “question answering” machine that is designed to play the TV quiz show Jeopardy. Suppose IBM had dispensed with the theatrics, and declared it had done Google one better and come up with a new phrase-based search engine. This framing of exactly the same technology would have gained IBM’s team as much (deserved) rec...
  1  notes

If an AI works by aggregating the works of the sum total of human knowledge, should the humans that discovered that knowledge be compensated? Science works the same way, but ideas remain free.

13 MAY 2013 by ideonexus

 AI Fails Because it Uses the Wrong Kinds of Computers

My own opinion is that AI has failed to fulfill its promise because we are using the wrong kind of computers. We are using digital computers, and the human brain is probably analog rather than digital. So my guess is that AI will succeed only after we move from digital to analog computing. This is a tough intellectual problem that cannot be solved just by spending a lot of money.
Folksonomies: computer science brain ai
Folksonomies: computer science brain ai
  1  notes

Human brains are analog, computers are digital.

02 MAY 2013 by ideonexus

 AI Philosophizing

Tachikoma: So, will we be sent back to lab too? Batou: Wha...? Who's been telling you that? Tachikoma: Well, it's just that the way the Major's been looking at us lately is kinda scary. Batou: Oh, is that all? The major's always scary, remember? I think you guys are doing a fine job. Tachikoma: You really think so? Batou: What, you're still worried about that? Tachikoma: Yeah... It just seems like the Major is angry about what we've acquired recently. Batou: "Acquired"? Acquired what? ...
  1  notes

Not deep, confusing, but I like the idea that AIs are digital, but humans are analog.

23 APR 2013 by ideonexus

 Intelligence Arises out of a Need to Maximize Entropy

The researchers developed a software engine, called Entropica, and gave it models of a number of situations in which it could demonstrate behaviors that greatly resemble intelligence. They patterned many of these exercises after classic animal intelligence tests. [...] "It actually self-determines what its own objective is," said Wissner-Gross. "This [artificial intelligence] does not require the explicit specification of a goal, unlike essentially any other [artificial intelligence]." ...
 1  1  notes

The more entropy, the more possibilities. Intelligence therefore seeks to maximize "future histories" in order to keep the number of possibilities maximized.