SIOC Post profile for "AI3:::Adaptive Information"
type: Document
description: A SIOC profile describes the structure and contents of a weblog in a machine readable form. For more information please refer to http://sioc-project.org/.
primary topic: Spring Dawns on Artificial Intelligence
generator agent: http://rdfs.org/sioc/wp-sioc.php

Spring Dawns on Artificial Intelligence
type: Post
has container: weblog
has creator: Mike Bergman
maker: Mike Bergman
created: 2014-06-02T15:19:14Z
content: Eight Massive Trends are Waking AI from Its Dark Winters Download PDF When I inaugurated this AI3 blog in 2005 I made this statement in the about section to clarify that the "three AIs" stood for adaptive information, adaptive innovation, and adaptive infrastructure, and not the AI of artificial intelligence: . . . I personally believe artificial intelligence to be a lot of hooey and hype at best, and a misnomer and misdirection at worst. . . . ‘Artificial intelligence’ is a misdirection of attention and energy. Gulp. OK. Time to take my medicine. I am today formally retracting those statements -- probably should have done so some time ago -- and want to explain why. As much as anything, it has to do with the changing understanding of what is artificial intelligence, recently affirmed by global-scale applications and technologies, working effectively right now. Many Winters within AI Though the idea of automatons and intelligent agents standing in for humans is about as old as human storytelling, the real basic ideas around artificial intelligence became current as part of the World War II effort and were finally given a name in a famous 1956 conference at Dartmouth. Initially namers and advocates of artificial intelligence included such founders as John McCarthy, Herbert Simon, Claude Shannon and Marvin Minsky. Money to support early interest in artificial intelligence came from the part of the US military that eventually became ARPA (now DARPA), with the funding going to individual researchers to use as they wished as opposed to specific projects. Along with many futuristic visions of the 1950s to 1970s, the promises for artificial intelligence were bold, including being able to capture and automate most notable basic human capabilities. Popular movies and books promoted the ideas of autonomous robots that we could speak with and command and that would anticipate our needs and wishes so as to act as simulacrum agents lessening our burdens and adding to our leisure…
encoded: Eight Massive Trends are Waking AI from Its Dark Winters Download PDF When I inaugurated this AI3 blog in 2005 I made this statement in the about section to clarify that the “three AIs” stood for adaptive information, adaptive innovation, and adaptive infrastructure, and not the AI of artificial intelligence: . . . I personally believe artificial intelligence to be a lot of hooey and hype at best, and a misnomer and misdirection at worst. . . . ‘Artificial intelligence’ is a misdirection of attention and energy. Gulp. OK. Time to take my medicine. I am today formally retracting those statements — probably should have done so some time ago — and want to explain why. As much as anything, it has to do with the changing understanding of what is artificial intelligence, recently affirmed by global-scale applications and technologies, working effectively right now. Many Winters within AI Though the idea of automatons and intelligent agents standing in for humans is about as old as human storytelling, the real basic ideas around artificial intelligence became current as part of the World War II effort and were finally given a name in a famous 1956 conference at Dartmouth. Initially namers and advocates of artificial intelligence included such founders as John McCarthy, Herbert Simon, Claude Shannon and Marvin Minsky. Money to support early interest in artificial intelligence came from the part of the US military that eventually became ARPA (now DARPA), with the funding going to individual researchers to use as they wished as opposed to specific projects. Along with many futuristic visions of the 1950s to 1970s, the promises for artificial intelligence were bold, including being able to capture and automate most notable basic human capabilities. Popular movies and books promoted the ideas of autonomous robots that we could speak with and command and that would anticipate our needs and wishes so as to act as simulacrum agents lessening our burdens and adding to our leisure a…
topic: Adaptive Information
topic: Adaptive Innovation
topic: Artificial Intelligence
topic: Open Source
topic: Peircean Principles
topic: Semantic Web
links to: Download PDF
links to: about section
links to: artificial intelligence
links to: old as human storytelling
links to: 1956 conference at Dartmouth
links to: John McCarthy
links to: Herbert Simon
links to: Claude Shannon
links to: Marvin Minsky
links to: ARPA
links to: simulacrum
links to: [1]
links to: Turing machine
links to: Mansfield Amendments
links to: "fifth-generation" computing
links to: Lisp
links to: ontologies
links to: knowledge graphs
links to: Cyc
links to: expert systems
links to: knowledge engineers
links to: Bayesian statistics
links to: neural networks
links to: hyperlinks
links to: semantic Web
links to: intelligent agents
links to: OWL
links to: linked data
links to: knowledge representation
links to: management
links to: RDF
links to: structured data
links to: speech recognition
links to: speech synthesis
links to: language translations
links to: entity recognition
links to: image
links to: facial recognition
links to: computer vision
links to: question answering
links to: autocompletion
links to: spell correction
links to: recommendation systems
links to: sentiment analysis
links to: information extraction
links to: document categorization
links to: natural language processing
links to: machine learning
links to: reasoning
links to: optical character recognition
links to: word sense disambiguation
links to: search and information retrieval
links to: text generation
links to: summarization
links to: Grand Challenges
links to: Moore's law
links to: knowledge bases
links to: Freebase
links to: Wikipedia
links to: [2]
links to: Markov chains
links to: conditional random fields
links to: many other options
links to: deep learning
links to: NELL

Mike Bergman
type: User

Mike Bergman
type: Person

ARPA
label: DARPA

KnowItAll

Open IE

pages

Google books

entity identification

tabular data

Yahoo! directory

Open Directory

Knowledge Graph

DBpedia

schema.org

Washington Post

The Economist

Nest Technologies
label: DeepMind

Kiva Systems

self-driving cars

[3]

Peter Norvig

Ray Kurzweil

Alon Halevy

Ramanathan Guha

Geoffrey Hinton

Evgeniy Gabrilovich

IBM's Watson

AI effect

cognitive computing

Douglas Hofstadter

Tesler

functional programming

homoiconicity

now actively exploring

Charles S. Peirce

Douglas Adams

Hyperland

2007 blog post pointing to the online video

own page of research

SWEETpedia

listing of Google acquisitions

Google's SEC Edgar filings

this analysis