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    • 16. 发明公开
    • ELECTROMAGNETIC FIELD DETECTOR
    • US20240159809A1
    • 2024-05-16
    • US18548390
    • 2022-02-15
    • BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
    • Fraser BURTONMarco MENCHETTILiam BUSSEY
    • G01R29/08
    • G01R29/0885G01R29/0892
    • This invention provides a method of detecting an electromagnetic field, and a device for 5 performing said method, the method comprising the steps of: transmitting a probe signal at a probe frequency in a first probe signal path and a second probe signal path to an optical receiver, wherein the first probe signal path passes through a transmission medium and the probe frequency is set to excite electrons of the transmission medium from a ground state to a first excited state; transmitting a coupling signal at a coupling frequency in a first coupling signal path, wherein the first coupling signal path overlaps with the first probe signal path in the transmission medium in a first overlapping section, wherein the coupling frequency is set to excite electrons of the transmission medium to a predetermined excited state so as to induce an Electromagnetic Induced Transparency, EIT, effect in the transmission medium such that an incident electromagnetic field at the transmission medium causes a change in refractive index in the transmission medium at the first overlapping section such that there is a change in an optical path length difference between the first probe signal path and the second probe signal path; combining the first path of the probe signal, following its passage of the first overlapping section of the transmission medium, with the second path of the probe signal; and monitoring, at the optical receiver, the intensity of the combined first and second paths of the probe signal so as to detect the incident electromagnetic field at the first overlapping section of the transmission medium as a change in the intensity caused by the change in the optical path length difference between the first probe signal path and the second probe signal path.
    • 20. 发明公开
    • NEURAL NETWORK ARRANGEMENT
    • US20240078424A1
    • 2024-03-07
    • US18258761
    • 2021-12-01
    • BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
    • Robert HERCOCKAlexander HEALING
    • G06N3/08
    • G06N3/08
    • A computer implemented method of a machine learning algorithm modelling a target function mapping inputs in an input domain to outputs in an output range, the machine learning algorithm including an array of processing nodes arranged in a network of layers of nodes including an input layer for receiving an input value, an output layer for providing an output value, and one or more intermediate layers between the input and output layers, each node in the processing set being outside the input layer receiving input from at least some adjacent nodes logically closer to the input layer via weighted connections between nodes, and each node being outside the output layer generating output to at least some adjacent nodes logically closer to the output layer via weighted connections between nodes, wherein each node includes: an adjustable weight for application to each input to the node, the adjustment weight being responsive to a threshold function applied to a value of the node input; a combination function for combining outputs of the threshold function; and a node bypass function for selectively mapping one or more of the inputs to the node to the output of the node, the method comprising iteratively training the machine learning algorithm to model the target function by adjustment, at each iteration, of at least weights of connections between at least a subset of the nodes, such that the nodes of the network are programmable during operation of the algorithm by adjustment of the threshold function and the bypass function so as to selectively emphasise subsets of nodes in the network.