Profession: Psychologist
Biography: David Rumelhart was an American cognitive psychologist and computer scientist who made significant contributions to the fields of artificial intelligence (AI), cognitive science, and neural networks. He is best known for his work on the development of the backpropagation algorithm, an essential learning technique used in training artificial neural networks, along with Geoffrey Hinton and Ronald J. Williams.
Rumelhart's research in the 1980s, together with his collaborators, led to the development of the Parallel Distributed Processing (PDP) approach to neural networks. This approach emphasizes the importance of distributed representations and parallel processing of information in the human brain. The PDP framework has had a profound impact on the fields of AI, cognitive science, and neuroscience, shaping the way researchers conceptualize and model cognitive processes.
Throughout his career, David Rumelhart was a leading figure in AI and cognitive science research, working on a wide range of topics, including natural language processing, human memory, and learning. He received numerous accolades for his work, including a MacArthur Fellowship in 1987.
Born: June 12, 1942
Birthplace: Wessington, South Dakota, USA
Generation: Silent Generation
Chinese Zodiac: Horse
Star Sign: Gemini
Daniel Kahneman
Geoffrey Hinton
John Dewey
Margaret McFarland
Sigmund Freud
William James