Google algorithm works very much like the human brainDecember 11th, 2007 - 3:31 pm ICT by admin
London, December 11 (ANI): A psychologist at the University of California, Berkeley, says that human memory studies may be improved by examining the tricks employed by online search engines and vice versa.
Tom Griffiths came to this conclusion following a study, which suggested that Google’s patented and powerful search algorithm PageRank might mimic the way the human brain retrieves information.
The researcher said that a model based on the human memory could be developed, wherein each point would represent a different word and be connected with other words related to it.
Griffiths led a study to determine whether the way PageRank ranks websites by the numbers of sites that link to them is similar to the ease with which the brain retrieves words.
According to New Scientist magazine, the tests showed that compared to other word-retrieval algorithms, PageRank most clearly matched the human model. (ANI)
- Scientists tap baby brainpower for smarter computers - Mar 25, 2012
- Google's web page ranking algorithm can detect critical species in ecosystems - Sep 04, 2009
- Google revamps to keep 'low-quality' sites at bay - Feb 26, 2011
- Competition panel launches fresh enquiry against Google - Jul 09, 2012
- Psychologist test how people learn, remember in groups - Apr 30, 2011
- 3D microscopy to help crack Alzheimer's secrets - Feb 19, 2012
- Google mentor Rajeev Motwani dies - Jun 07, 2009
- Click people, not places, for memorable photos - May 25, 2011
- Scientists can now read our minds - Dec 26, 2011
- Knowledge Graph: Google unleashes the Big Boy - May 17, 2012
- Google Red Faced Over Michelle Obama Controversial Picture - Nov 26, 2009
- Improving brain plasticity could delay Alzheimer's onset in elderly - Mar 24, 2011
- Google's new browser can map human body in 3D - Dec 17, 2010
- Electric shock to brain 'might help you recall names faster' - Oct 07, 2010
- What's happening to your Google search engine? - Sep 20, 2010
Tags: conclusion, google, human brain, human memory, human model, london, memory studies, new scientist magazine, pagerank, psychologist, researcher, retrieval algorithms, search algorithm, search engines, tom griffiths, university of california, university of california berkeley, word retrieval