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Who invented backprop?

Who invented backprop?

Seppo Linnainmaa
Efficient backpropagation (BP) is central to the ongoing Neural Network (NN) ReNNaissance and “Deep Learning.” Who invented it? Its modern version (also called the reverse mode of automatic differentiation) was first published in 1970 by Finnish master student Seppo Linnainmaa.

Who is known as the father of AI and why?

John McCarthy, an American computer scientist pioneer and inventor, was known as the father of Artificial Intelligence (AI) after playing a seminal role in defining the field devoted to the development of intelligent machines.

Who is the founder of machine learning?

Arthur Samuel
History and relationships to other fields. The term machine learning was coined in 1959 by Arthur Samuel, an American IBMer and pioneer in the field of computer gaming and artificial intelligence. Also the synonym self-teaching computers was used in this time period.

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How old is Geoffrey Hinton?

74 years (December 6, 1947)
Geoffrey Hinton/Age

What is AI by John McCarthy?

John McCarthy, who coined the term in 1956, defines it as “the science and engineering of making intelligent machines.” The term artificial intelligence is also used to describe a property of machines or programs: the intelligence that the system demonstrates.

Why isinton Hinton so famous?

In 2012, Hinton gained fame and wealth from a deep learning breakthrough. With two students, he implemented a multilayered neural network that was trained to recognize objects in massive image data sets.

What did Hinton do for artificial neural networks?

Hinton’s devotion to artificial neural networks (a mid-2oth century invention) dates to the early 1970s. By 1986 he’d made considerable progress: whereas initially nets comprised only a couple of neuron layers, input and output, Hinton and collaborators came up with a technique for a deeper, multilayered network.

What goes on in our brains According to Hinton?

And dealing in yet higher dimensions, Hinton believes that what goes on in our brains involves “big vectors of neural activity.” By way of analogy, Hinton likens his glomming together of similar vectors to the dynamic of an echo chamber—the amplification of similar beliefs.

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What is Hinton’s Glom theory?

In crafting GLOM, Hinton tried to model some of the mental shortcuts—intuitive strategies, or heuristics—that people use in making sense of the world.