BUILDING CORRECT, EFFICIENT SYSTEMS THAT REASON ABOUT THE APPROXIMATIONS PRODUCED BY SENSORS, MACHINE LEARNING, BIG DATA, HUMANS, AND APPROXIMATE HARDWARE AND SOFTWARE REQUIRES NEW STANDARDS AND ABSTRACTIONS. THE UNCE...
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BUILDING CORRECT, EFFICIENT SYSTEMS THAT REASON ABOUT THE APPROXIMATIONS PRODUCED BY SENSORS, MACHINE LEARNING, BIG DATA, HUMANS, AND APPROXIMATE HARDWARE AND SOFTWARE REQUIRES NEW STANDARDS AND ABSTRACTIONS. THE UNCERTAIN < T > SOFTWARE ABSTRACTION AIMS TO TACKLE THESE PERVASIVE CORRECTNESS, OPTIMIZATION, AND programmability problems AND GUIDE HARDWARE AND SOFTWARE DESIGNERS IN PRODUCING ESTIMATES.
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