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Conventional Von Neumann microprocessors are inefficient for supporting machine intelligence due to layers of abstraction, limiting the feasibility of machine-learning frameworks in critical applications. A new approach for architecting intelligent systems, using physical equivalence and leveraging emerging nanotechnology, can pave the way to machine intelligence everywhere.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.