A survey of more than 350 artificial
intelligence researchers predicts how long it will take for machines to beat us at all tasks
Not exact matches
In May 2017, a team of
researchers at the University of Oxford published the results of a survey of the world's best artificial
intelligence experts, who
predicted that there was a 50 percent chance of AI outperforming humans in all tasks within 45 years.
Now, UCLA
researchers have developed a way to use brain scans and machine learning — a form of artificial
intelligence — to
predict whether people with OCD will benefit from cognitive behavior therapy.
Interestingly, Ioannidis
predicted that more
researchers in the field are not necessarily better — especially if they are overly competitive and furtive, like the fractured U.S.
intelligence community, which failed to share information that might have prevented the September 11, 2001, terrorist strikes on the World Trade Center and the Pentagon.
The price fluctuation of fine wines can now be
predicted more accurately using a novel artificial
intelligence approach developed by
researchers at UCL.
Now a team of
researchers in Kyoto has used neural network - based artificial
intelligence to decode and
predict what a person is seeing or imagining, referring to a significantly larger catalog of images.
- presentation by one of the leading
researchers in the field on what emotional
intelligence is, the research behind it, what tests are showing relating to parental emotional
intelligence and how that
predicts children's emotional
intelligence, and much more.
The judicial decisions of the European Court of Human Rights (ECtHR) have been
predicted to 79 % accuracy using an artificial
intelligence (AI) method developed by
researchers in UCL, the University of Sheffield and the University of Pennsylvania.
Researchers have created an artificial
intelligence system that has accurately
predicted the outcomes of many cases heard at the European Court of Human Rights (ECHR).