Description
This transcript from Day 2, Session 8 of the AI: Expert Systems Pioneer meeting, the last in the series, covers how the early developments in the AI and expert systems industry relate to today’s AI-based systems and what has changed since the late 1990s to make them possible. The participants explain that mainly today’s systems are hybrids that combine a variety of expert systems and AI technologies, such as in self-driving cars, which combine machine learning and rule-based systems, among other technologies. The participants also discuss the advances in computational power, sample sets, storage, and connectivity that have enabled many of today’s AI-based systems, such as language translation and unsupervised learning. Lastly, the discussion covers what would be necessary to make the next leap in AI-based systems: symbolic AI problem solving.
Date
2018-05-15
Contributor
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Allen, Brad, Speaker
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Baltes, Cheryl, Editor
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Brock, David C., Moderator
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Brown, Denny, Speaker
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Dick, Stephanie, Speaker
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Feigenbaum, Edward, Speaker
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Friedland, Peter, Speaker
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Garvey, Colin, Speaker
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Grad, Burt, Moderator
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Grier, David, Speaker
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Haigh, Thomas, Speaker
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Harmon, Paul, Speaker
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Hemmendinger, David, Speaker
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Hendrix, Gary G., Speaker
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Hsu, Hansen, Speaker
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Kunze, Fritz, Speaker
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LaHay, Edward, Speaker
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Lenat, Douglas B., Speaker
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McCune, Brian, Speaker
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McJones, Paul, Speaker
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Rappaport, Alain, Speaker
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Schorr, Herb, Speaker
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Shustek, Len, Speaker
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Smith, Reid, Speaker
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Publisher
Computer History Museum
Place of Publication
Mountain View, CA
Extent
23 p.
Format
PDF
Category
Transcription
Subject
Artificial intelligence (AI); Alphago Systems; Bayesian classification; deep learning; Expert systems; Knowledge-based systems; Machine learning; Neural networks; pattern recognition; Rule-based systems; self-driving cars; supervised classification; symbolic AI knowledge
Collection Title
AI: Expert Systems Pioneer Meeting
Credit
Computer History Museum
