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Generative Artificial Intelligence – Foundations, Use Cases and Economic Potential

Generative Artificial Intelligence – Foundations, Use Cases and Economic Potential
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Deepmind googleBard googleDigital serviceEu councilCa comprehensiveEuropean commissionEuropean ai act commissionEu parliamentCornell universityRegulation of the european parliamentFoundation model regulationEuropean artificial intelligence actLanguage modelDialogue applicationsBig techBloomberg intelligence

UT names assistant vice chancellor, deputy director of AI initiative - Claiborne Progress

UT names assistant vice chancellor, deputy director of AI initiative - Claiborne Progress
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United statesUniversity of tennesseeOak ridgeVasileios maroulasLynne parkerJohn reitmanUt haslam college of businessAssociation for computing machineryDepartment of mathematicsInterdisciplinary researchNational science foundationUniversity of bathUniversity of north carolina at chapel hillDepartment of defenseEconomic developmentAmerican institute of mathematical sciences

Maroulas Named Assistant Vice Chancellor, Deputy Director of AI Tennessee Initiative

Vasileios Maroulas will explore AI opportunities that benefit both UT’s students and the state of Tennessee through strategic partnerships.

Oak ridgeUnited statesUniversity of tennesseeVasileios maroulasLynne parkerAmerican institute of mathematical sciencesEconomic developmentLockheed martinInterdisciplinary researchUniversity of bathMathematical sciences leverhulme trustInternational statistical instituteUniversity of north carolina at chapel hillDepartment of defenseUt haslam college of businessUniversity of minnesota

Managing the Explosion of Healthcare Data to Harness its Power

Rapid developments in healthcare-associated technology have improved how patients are treated and influenced healthcare outcomes.

Health insurance portabilityA more comprehensive research framework for multimorbilityBig dataAccountability actProbabilistic machine learningAnnual reviewBiomedical data scienceMore comprehensive research frameworkClinical medicineDecision makingBig data

Strengthening trust in machine-learning models

To build trust in probabilistic machine learning, MIT's Tamara Broderick and colleagues developed a “taxonomy of trust,” identifying where in data analysis processes confidence in its results might break down.

Tamara broderickAnna smithLondon school of economicsLaboratory for informationAndrew gelman at columbia universityDepartment of electrical engineeringUniversity of kentuckyElectrical engineeringComputer scienceDecision systemsProfessor anna smithTian zhengAndrew gelmanColumbia universityProfessor rachael meagerLondon school