Random number generator
    203.
    发明授权

    公开(公告)号:US12019510B2

    公开(公告)日:2024-06-25

    申请号:US17684198

    申请日:2022-03-01

    CPC classification number: G06F11/10 G06F7/58 G06F11/26

    Abstract: The present disclosure relates to a circuit for testing a random number generator adapted to delivering a series of random bits and comprising at least one test unit configured to detect a defect in the series of random bits, said test circuit being adapted to verifying whether, after the detection of a first defect by the test unit, the number of random bits, generated by the random number generator without the detection of a second defect by said unit test, is smaller than a first threshold.

    Voltage converter and method
    206.
    发明授权

    公开(公告)号:US11967900B2

    公开(公告)日:2024-04-23

    申请号:US17366353

    申请日:2021-07-02

    CPC classification number: H02M3/158 H02M1/0032 H02M1/0083 H02M1/36

    Abstract: An embodiment voltage converter includes a first transistor connected between a first node of the converter and a second node configured to receive a power supply voltage, a second transistor connected between the first node and a third node configured to receive a reference potential, a first circuit configured to control the first and second transistors, and a comparator including first and second inputs. The first input is configured to receive, during a first phase, a first voltage ramp and, during a second phase, a set point voltage. The second input is configured to receive, during the first phase, the set point voltage and, during the second phase, a second voltage ramp.

    ARTIFICIAL NEURON NETWORK HAVING AT LEAST ONE UNIT CELL QUANTIFIED IN BINARY

    公开(公告)号:US20240095502A1

    公开(公告)日:2024-03-21

    申请号:US18470281

    申请日:2023-09-19

    CPC classification number: G06N3/0464

    Abstract: An artificial neural network includes a unit cell. The unit cell includes a first binary two-dimensional convolution layer configured to receive an input tensor and to generate a first tensor. A first batch normalization layer is configured to receive the first tensor and to generate a second tensor. A concatenation layer is configured to generate a third tensor by concatenating the input tensor and the second tensor. A second binary two-dimensional convolution layer is configured to receive the third tensor and to generate a fourth tensor. A second batch normalization layer is configured to generate an output tensor based on the fourth tensor.

    Authentication method and circuit
    210.
    发明授权

    公开(公告)号:US11921834B2

    公开(公告)日:2024-03-05

    申请号:US16249804

    申请日:2019-01-16

    Inventor: Fabrice Marinet

    Abstract: A method of authenticating a first electronic circuit includes generating a first signature using the first electronic circuit, the generating of the first signature being based on states of a plurality of electric nodes distributed within the first electronic circuit. A second signature is generated using a second electronic circuit, the generating of the second signature being based on states of a plurality of electric nodes distributed within the second electronic circuit. The first signature is compared to the second signature. The first electronic circuit is authenticated based on the comparison of the first signature to the second signature.

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