GENERAL ELECTRIC COMPANY CONTROL # 2107-1522 TITLE: ''PROBABILISTIC MACHINE LEARNING FOR INVERSE DESIGN OF AERODYNAMIC SYSTEMS (PRO-ML IDEAS)'' GE PROPOSES A PROBABILISTIC INVERSE DESIGN MACHINE LEARNING FRAMEWORK – PRO-ML IDEAS TO SHIFT THE PARADIGM BY TAKING PERFORMANCE AND REQUIREMENTS AS INPUT AND PRODUCING THE DESIGNS AS OUTPUT

$2,123,823FY2021Department of EnergyDOE

General Electric Company

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GENERAL ELECTRIC COMPANY CONTROL # 2107-1522 TITLE: ''PROBABILISTIC MACHINE LEARNING FOR INVERSE DESIGN OF AERODYNAMIC SYSTEMS (PRO-ML IDEAS)'' GE PROPOSES A PROBABILISTIC INVERSE DESIGN MACHINE LEARNING FRAMEWORK – PRO-ML IDEAS TO SHIFT THE PARADIGM BY TAKING PERFORMANCE AND REQUIREMENTS AS INPUT AND PRODUCING THE DESIGNS AS OUTPUT · GrantIndex