METHOD FOR INFORMATION PROCESSING, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250104803A1

    公开(公告)日:2025-03-27

    申请号:US18972078

    申请日:2024-12-06

    Abstract: A method for information processing, is performed by an electronic device, and the method includes: obtaining a residue sequence AT that does not carry amino acid information and a first protein backbone structure BT generated by pure noise; and performing iterative denoising on the residue sequence AT and the first protein backbone structure BT; for a tth denoising, obtaining coevolution information of a residue sequence AT+1−t, and obtaining, based on the coevolution information and a first protein backbone structure BT+1−t, a residue sequence AT−t and a first protein backbone structure BT−t after the tth denoising, until the denoising is completed and a target amino acid sequence and a second protein backbone structure are obtained, where t is a positive integer, and 1≤t≤T, and T is a number of denoising times.

    TASK EXECUTION METHOD FOR LARGE MODEL, DEVICE, AND MEDIUM

    公开(公告)号:US20250094792A1

    公开(公告)日:2025-03-20

    申请号:US18968790

    申请日:2024-12-04

    Abstract: A task execution method for a large model, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, particularly to fields of deep learning technology and large model technology. The method includes: executing a modality routing task by using a target computing unit based on a target feature to be processed to obtain a modality recognition result; executing a field routing task by using the target computing unit based on the target feature to be processed and a target field gating model parameter to obtain a field recognition result; and executing a feedforward task by using the target computing unit based on the target feature to be processed and a target feedforward task model parameter to obtain a task execution result

    QUERY ANSWERING METHOD BASED ON LARGE MODEL, ELECTRONIC DEVICE, STORAGE MEDIUM, AND INTELLIGENT AGENT

    公开(公告)号:US20250094460A1

    公开(公告)日:2025-03-20

    申请号:US18969597

    申请日:2024-12-05

    Abstract: A query answering method, an electronic device, a storage medium, and an intelligent agent are provided, which relate to a field of artificial intelligence technology, and in particular to fields of large model, intelligent search and information processing technology. The method includes: inputting, in response to a retrieval content set retrieved based on a query, the query, the retrieval content set and prompt information for answer generation into the large model, so that the large model performs operations of: processing, based on a current task in the prompt information and the query, a current text corresponding to the retrieval content set to obtain a processed text, where the current task is determined based on a task execution order in the prompt information; and obtaining, in a case of determining that the processed text meets a preset condition, an answer to the query based on the processed text.

    PERIPHERAL COMPONENT INTERCONNECT EXPRESS DEVICE RESET FOR AUTONOMOUS DRIVING SYSTEMS

    公开(公告)号:US20250086134A1

    公开(公告)日:2025-03-13

    申请号:US18248678

    申请日:2023-01-20

    Abstract: In one embodiment, a method for controlling PCIe devices on an autonomous driving system (ADS) of an autonomous driving vehicle (ADV) is disclosed. The method includes scanning PCIe ports of the ADS to discover PCIe device(s) mounted on the ADS. Next, a comparison is performed between a list of the discovered PCIe device(s) and an expected list of PCIe devices for the ADS. Next, an offline PCIe device is determined based on the comparison, the offline PCIe device corresponding to a PCIe device that is present in the expected list of PCIe devices but not in the list of the discovered PCIe devices. Then a device reset command is transmitted to a programmable logic device that manages power for PCIe devices of the ADS to reset the offline PCIe device, wherein the programmable logic device generates a reset control signal for the offline PCIe device to reset the PCIe device.

    Refrigeration system for data center

    公开(公告)号:US12238902B2

    公开(公告)日:2025-02-25

    申请号:US17814625

    申请日:2022-07-25

    Inventor: Zhiming Luo

    Abstract: A refrigeration system for a data center includes an indoor module, a main outdoor heat-dissipation module and an auxiliary outdoor heat-dissipation module, inlets of the first compressor and the second compressor are respectively connected to an outlet of the indoor module, outlets of the first compressor and the second compressor are respectively connected to a gaseous refrigerant inlet of the first condenser, liquid refrigerant outlets of the first condenser and the second condenser are respectively connected to an inlet of the indoor module, in which a refrigeration cycle passage for the data center is formed by the indoor module, the first condenser and the first compressor when the main outdoor heat-dissipation module is in a normal condition, and the refrigeration cycle passage for the data center is formed by the indoor module, the second condenser and the second compressor when the main outdoor heat-dissipation module fails.

    Method and apparatus for processing signal, computer readable medium

    公开(公告)号:US12236974B2

    公开(公告)日:2025-02-25

    申请号:US17872909

    申请日:2022-07-25

    Abstract: A method and apparatus for processing a signal. An implementation of the method includes: acquiring a reference signal of a to-be-tested voice, the reference signal being a signal output to a voice output device, where the voice output device outputs the to-be-tested voice after obtaining the reference signal; receiving, from a voice input device, an echo signal of the to-be-tested voice, the echo signal being a signal of the to-be-tested voice collected by the voice input device; performing signal preprocessing on the reference signal and the echo signal respectively; and inputting the processed reference signal and the processed echo signal into a pre-trained time delay estimation model, to obtain a time difference between the reference signal and the echo signal output by the time delay estimation model.

    TRAINING METHOD FOR A DEEP LEARNING MODEL

    公开(公告)号:US20250061305A1

    公开(公告)日:2025-02-20

    申请号:US18936686

    申请日:2024-11-04

    Abstract: A training method, an inference method, a device, an apparatus, and a medium for a deep learning model are provided. A first model includes a plurality of first parameters, a second model comprises a plurality of second parameters, which is initialized to parameter values of a plurality of target parameters selected from the plurality of first parameters. The training method includes: determining a target loss for both the first model and the second model; adjusting parameter values, including: in response to determining that the target loss indicates that the parameter values of at least part of the target parameters need to be adjusted, synchronously adjusting the parameter values of the corresponding second parameters; and in response to determining that the target loss indicates that the parameter values of at least part of the second parameters need to be adjusted, synchronously adjusting the parameter values of the corresponding target parameters.

    Method for adjusting target object, electronic device, and storage medium

    公开(公告)号:US12229882B2

    公开(公告)日:2025-02-18

    申请号:US17989996

    申请日:2022-11-18

    Abstract: Provided is a method for adjusting a target object, an electronic device, and a storage medium, relating to a field of computer technology, and in particular, to fields of intelligent transportation, automatic driving, computer vision, and the like. The method includes: acquiring a first bounding box corresponding to the target object and a second bounding box corresponding to a support of the target object; obtaining an association relationship for adjustment of the target object, according to a spatial position where the first and second bounding boxes are located; and moving, according to the association relationship, the target object towards the support, to obtain a third bounding box corresponding to the adjusted target object, where the third bounding box and the second bounding box appear to fit each other.

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