Category Archives: AI history

A Mirror with a Memory

On March 5th, 1839, Samuel F. B. Morse and Louis-Jacques-Mande Daguerre met in Daguerre’s studio, in Paris, France.  Read more

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RAMAC Digital Storage Launches Data Explosion

The information explosion has turned into the big digital data explosion, enabling deep learning-driven data analysis, today’s AI. Read more

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AI: The First ‘Thinking Machine’

Catalan poet and theologian Ramon Llull perfected in 1308 his method of using paper-based mechanical means to create new knowledge from combinations of concepts. Read more

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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. Read more

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When AI Met Robotics, SHAKEY Was Born

The robot that was going to start the Third Industrial Revolution. Continue reading

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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. Read more

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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. Read more

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How Computer Graphics and Big Data Gave Birth to Today’s Artificial Intelligence (AI)

The explosion of breakthroughs, investments, and entrepreneurial activity around artificial intelligence over the last decade has been driven exclusively by deep learning, a sophisticated statistical analysis technique for finding hidden patterns in large quantities of data. A term coined in … Continue reading

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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. Read more here

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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 … Continue reading

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