(Phys.org)—New York University and the University of California, Berkeley have released a comprehensive computerized study of the body language of the major-party U.S. presidential candidates, using expertise of computer ...
Social Sciences
Nov 6, 2012
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(Phys.org)—Women are twice as likely as men to use emoticons in text messages, according to a new study from Rice University.
Other
Oct 11, 2012
8
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The National Center for Educational Statistics reported that only 73% of high school freshmen graduate within four years. For those students who continue their education at the collegiate level, slightly more than half (57%) ...
Social Sciences
Oct 9, 2012
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1
A computer is being taught to interpret human emotions based on lip pattern, according to research published in the International Journal of Artificial Intelligence and Soft Computing. The system could improve the way we ...
Computer Sciences
Sep 10, 2012
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(Phys.org) -- A robotics team from the University of Pisa in Italy has a challenge for the Uncanny Valley theory made famous by the 1970 essay of that name. Masahiro Mori had said when robots get too realistic they turn people ...
China on Saturday launched its most ambitious space mission to date, sending its first female astronaut into orbit and bidding to achieve the country's first manual space docking.
Space Exploration
Jun 16, 2012
9
2
(Phys.org) -- With humans, mothers and other adults have developed a whole separate way of communicating with infants, toddlers and even teens, but that kind of purposeful conversing style is unique; among primates only the ...
(Phys.org) -- Researchers at the Massachusetts Institute of Technology (MIT) in the US have trained computers to recognize smiles, and they have turned out to be more adept at recognizing smiles of frustration than humans.
(Phys.org) -- Samsung phones of the future may tell if you are happy, sad, or altogether disgusted. Samsung has filed for a patent on a method and device that can tell a user’s emotions based on facial expressions. The ...
Inspired by the work of psychologists who study the human face for clues that someone is telling a high-stakes lie, UB computer scientists are exploring whether machines can also read the visual cues that give away deceit.
Computer Sciences
Mar 26, 2012
14
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