Practical AI is the successful, measurable, business use of learning from data–examples from Ely Lilly and Parexel.
AI History In Pictures: John McCarthy Playing Chess with a Mainframe Computer
John McCarthy, artificial intelligence pioneer, playing chess at Stanford’s IBM 7090
John McCarthy used an improved version of the Kotok program to play correspondence chess against a Soviet program developed at the Moscow Institute of Theoretical and Experimental Physics (ITEP) by George Adelson-Velsky and others. In 1967, a four-game match played over nine months was won 3-1 by the Soviet program.
Source: Chessprogramming.org
The Accelerating Complexity of AI Models
“The number of parameters in a neural network model is actually increasing on the order of 10x year on year. This is an exponential that I’ve never seen before and it’s something that is incredibly fast and outpaces basically every technology transition I’ve ever seen… So 10x year on year means if we’re at 10 billion parameters today, we’ll be at 100 billion tomorrow,” he said. “Ten billion today maxes out what we can do on hardware. What does that mean?”–Naveen Rao, Intel
Ramon Llull and His ‘Thinking Machine’
In 1308, Catalan poet and theologian Ramon Llull completed Ars generalis ultima (The Ultimate General Art), further perfecting his method of using paper-based mechanical means to create new knowledge from combinations of concepts.
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A Very Short History of AI, 2021 Edition
The evolution of AI from theoretical concepts to machine logic to expert systems to machine learning to artificial neural networks and big data-based deep learning.
Abusing AI
The trouble with AI is that it lacks a clear definition, that it suffers from the unique nature of its creators’ intelligence and the fuzzy language they use.
AI: The First Expert System
Expert systems represented a new stage in the evolution of AI, shifting from its initial emphasis on general problem-solving and reasoning to a new focus was on knowledge.
