Case Study (Literature Review)

Literature Review

Over the last decade, the most successful artificial intelligence systems, like the speech recognition software found on smartphones or Google's latest automatic translator, have been developed using a method known as "deep learning."

Deep learning is in fact a new name for an approach to artificial intelligence called neural networks, which have been going in and out of fashion for more than 70 years. Neural networks were first proposed in 1944 by Warren McCullough and Walter Pitts, two University of Chicago researchers who moved to MIT in 1952 as founding members of what’s sometimes called the first cognitive science department.

Neural nets were a major area of research in both neuroscience and computer science until 1969, when, according to computer science lore, they were killed off by the MIT mathematicians Marvin Minsky and Seymour Papert, who a year later would become co-directors of the new MIT Artificial Intelligence Laboratory (Hardesty, 2017). 

Reference List:

Hardesty, L. (2017) Explained: Neural networks, MIT News | Massachusetts Institute of Technology. Available at: https://news.mit.edu/2017/explained-neural-networks-deep-learning-0414 (Accessed: 02 June 2023).