Autonomous video conferencing system with virtual director assistance
US-2024414437-A1 · Dec 12, 2024 · US
US11301751B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11301751-B2 |
| Application number | US-201715724281-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 4, 2017 |
| Priority date | Oct 4, 2017 |
| Publication date | Apr 12, 2022 |
| Grant date | Apr 12, 2022 |
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A method for executing a binarized neural network (BNN) using a switching chip includes describing an artificial neural network application in a binarized form to provide the BNN; configuring a parser of the switching chip to encode an input vector of the BNN in a packet header; configuring a plurality of match-action tables (MATs) of the switching chip to execute, on the input vector encoded in the packet header, one or more of the operations including XNOR, bit counting, and sign operations such that the plurality of MATs are configured to: implement a bitwise XNOR operation between the input vector and a weights matrix to produce a plurality of first stage vectors, implement an algorithm for counting a number of bits set to 1 in the plurality of first stage vectors to produce a plurality of second stage vectors, and implement a sign operation on the second stage vectors.
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What is claimed is: 1. A method for executing a binarized neural network (BNN) using a switching chip, the method comprising: describing an artificial neural network application in a binarized form to provide the BNN; configuring a parser of the switching chip to encode an input vector of the BNN in a packet header; configuring a plurality of match-action tables (MATs) of the switching chip to execute, on the input vector encoded in the packet header, one or more of the operat…
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