2.23.21-AI-Mansinghka

Conference Video|Duration: 13:30
February 23, 2021
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    Humans see, think, and learn far more robustly, flexibly, and efficiently than current AI systems. Can we achieve human-level performance, using AI architectures that people can understand and trust?

    We have been developing a new AI programming model that narrows the gaps between human and machine intelligence by unifying probabilistic, symbolic, and neural approaches. This talk will focus on three emerging AI capabilities, developed in partnership with industry: (i) inferring 3D objects from 2D images, using models of human common sense; (ii) deduplicating and cleaning dirty, denormalized databases with millions of records, using models of human domain expertise; (iii) enabling people without statistics training to solve data analysis problems, by emulating judgment calls made by human statisticians. It will highlight the common AI engineering principles and computing abstractions underlying these diverse capabilities, as well as ongoing opportunities for MIT-industry partnership.

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  • Video details
    Humans see, think, and learn far more robustly, flexibly, and efficiently than current AI systems. Can we achieve human-level performance, using AI architectures that people can understand and trust?

    We have been developing a new AI programming model that narrows the gaps between human and machine intelligence by unifying probabilistic, symbolic, and neural approaches. This talk will focus on three emerging AI capabilities, developed in partnership with industry: (i) inferring 3D objects from 2D images, using models of human common sense; (ii) deduplicating and cleaning dirty, denormalized databases with millions of records, using models of human domain expertise; (iii) enabling people without statistics training to solve data analysis problems, by emulating judgment calls made by human statisticians. It will highlight the common AI engineering principles and computing abstractions underlying these diverse capabilities, as well as ongoing opportunities for MIT-industry partnership.

Locked Interactive transcript