Geoffrey Hinton was born in 1947 and is
considered as one of the pillars of Deep Learning. He is a Computer Scientist
and Cognitive Psychologist noted for his work on artificial neural networks. He
has published 200 peer-reviewed research papers on AI and neural networks and
also guided a host of students to their PhD of which some are very well known
in AI. A Neural Network is a network of connected artificial neurons,
simulated within a computer and organized in layers
He is a British Scientist who is currently
located in Canada. Till the year 2018 he remained very optimistic about AI but
later he moved away from that thinking as he felt that AI technologies would
take away most jobs He worked for Google Brain (Google Brain was a deep learning artificial intelligence research team
that served as the sole AI branch of Google before being incorporated under the
newer umbrella of Google AI) for 10 years from 2013 onwards. He resigned from it in 2023 to speak freely about AI to the Public. By 2024 Hinton expressed the view that
AI would generate more wealth but it would only make the rich richer and also
hurt the people who lose their jobs.
Hinton is the great-great-grandson of the mathematician
Mary Everest Boole and the logician George Boole. It was George Boole who first
developed the Boolean Algebra which uses 0 and 1 and has been fundamental in
developing Digital Electronics. He is
also the descendant of Sir George Everest, who was the then Surveyor General of
India whose name has been given to Mt Everest.
George Hinton received the ‘Tuning Award” in
1918 referred to as the Nobel Prize in computing along with Yoshua Benzio
and Yann LeCun (Chief AI Scientist for Meta) for Deep Learning. These 3
are often referred to as the Godfathers of Deep Learning and give public talks
together. Currently, he is a Professor of Computers at the University of
Toronto.
Hinton now notes that “a part of him regrets
his life’s work” due to his concerns about AI. He previously believed that AI is
30 to 50 years away but now he believes that it is only 20 years away and it
would bring about drastic changes in our life comparable to the Industrial
Revolution.
In 2023 Hinton said in an interview that AI
might soon overtake the information capacity of the human brain. Hinton also
expressed concerns about an AI takeover and that it is not inconceivable that
AI could wipe out humanity. He has concerns that AI could be misused by
malevolent persons.
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