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Technique developed to improve machine-learning models reliability

MIT researchers have developed a machine-learning model to determine its confidence in a prediction while using no additional data.

Soumya ghoshGregory wornellMaohao shenChris vavraPrasanna sattigeriSubhro dasWatson ai labResearch laboratory of electronicsUniversity of floridaAlgorithms laboratoryResearch laboratorySumitomo professorControl engineering

Efficient technique improves machine-learning models reliability | MIT News | Massachusetts Institute of Technology

A new technique can enable a machine-learning model to quantify how confident it is in its predictions, but does not require vast troves of new data and is much less computationally intensive than other techniques. The work was led by researchers from MIT and the MIT-IBM Watson AI Lab.

Soumya ghoshGregory wornellMaohao shenPrasanna sattigeriSubhro dasWatson ai labResearch laboratory of electronicsUniversity of floridaAlgorithms laboratoryUs national science foundationResearch laboratorySumitomo professorMachine learningExplainable aiUncertainty quantificationPeta model

A technique to improve both fairness and accuracy in artificial intelligence

A technique to improve both fairness and accuracy in artificial intelligence
scienceblog.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from scienceblog.com Daily Mail and Mail on Sunday newspapers.

United statesJoshua kaGreg wornellPrasanna sattigeriAbhin shahSubhro dasResearch laboratory of electronicsAlgorithms laboratoryNational science foundationBoston scientificDepartment of electrical engineeringWatson ai labInternational conference on machineWells fargoSumitomo professorElectrical engineering

A technique to improve both fairness and accuracy in artificial intelligence

A technique to improve both fairness and accuracy in artificial intelligence
mit.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from mit.edu Daily Mail and Mail on Sunday newspapers.