This year, artificial intelligence has arrived in the market, powering intelligent surveillance cameras, autonomous consumer drones, and other intelligent and autonomous “things.” We are witnessing a new era of visually intelligent devices that over the next several years will push the boundaries of what microelectronics can offer, but these devices will require new levels of computational complexity at lower power to bring autonomy and intelligence to new consumer applications.
Gary Brown shares the under-the-hood technologies that are enabling devices to function at lower power and with more sophisticated deep learning computation, in turn giving device makers the critical functions that, when put together, enable AI in battery-driven consumer applications. Gary focuses on the new innovations at the silicon level fueling the realization of visually intelligent things.
Gary Brown leads product marketing and strategic partnerships for Movidius, a division of Intel’s new technology group. Gary’s background in embedded DSP and his passion for computer vision and deep learning technology help him navigate Movidius into this new era of machine intelligence. He holds an MS in electrical engineering from Stanford University.
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