Beijing Baidu Netcom Science and Technology Co., Ltd.

Other

Future Wei Technologies, Inc.

Beijing University of Technology

Beihang University

Suzhou Surgi-master High Tech Co., Ltd.

Tsinghua University

Nuctech Company Limited

Pu Wang

Zhiqiang Chen

Yuanjing Li

Ziran Zhao

Wanlong Wu

Xinyu Wang

Qi Wu

Chen Bo Li

Yingkang Jin

Bo Zhao

Yingfei Xue

Jingzhou He

Le Tang

Chunbo Lai

Yingying Wang

Di Jiang

Zhiyuan Wang

Feng Zheng

Yufang Sun

Lisheng Wang

Qixin Li

Xun Chen

Shuhua Yue

Yibin Wei

Shoufei Gao

The present disclosure relates to a multi-modal imaging device. The multi-modal imaging device includes: a Raman spectroscopic analysis module configured to obtain Raman spectroscopic information of a target object on a first sampling position by using excitation light; an optical coherence tomography module configured to obtain a tissue structure image of the target object on a second sampling position by using imaging detection light; and a co-localization module configured to control the first sampling position of the excitation light in the Raman spectroscopic analysis module and/or the second sampling position in the optical coherence tomography module according to a determined concerned area of the target object, so that the first sampling position and the second sampling position are spatially co-localized in the concerned area.

Multi-modal imaging device

Embodiments of the present disclosure disclose a method, an apparatus, a server, and a storage medium for recalling for a search. The method for recalling for a search includes: acquiring a search term inputted by a user; calculating a semantic vector of the search term using a pre-trained neural network model; and recalling, according to a pre-established index, target documents related to the semantic vector of the search term from candidate documents, the index being established based on the semantic vectors of the candidate documents, and the semantic vectors of the candidate documents being calculated using the pre-trained neural network model. The embodiments of the present disclosure may solve a problem in the existing method for recalling that the recalling accuracy is affected by failing to generalize semantics, to improve the accuracy of recalling for a search.

Method, apparatus, server, and storage medium for recalling for search

An anti-resonant hollow core optical fiber having multiple resonant layers. The optical fiber comprises a low-refractive index core region () and a high-refractive index cladding region. The high-refractive index cladding region comprises an inner cladding region () and an outer cladding region (). The outer cladding region () clads the inner cladding region () and the core region (). The inner cladding region () comprises a first anti-resonant layer () and a second anti-resonant layer (), and the first anti-resonant layer () and the second anti-resonant layer () surround the core region (); and the first anti-resonant layer () comprises several layers of microcapillary tubes, and the second anti-resonant layer () supports the first anti-resonant layer (). The optical fiber adopts a double-cladding structure and uses two or more anti-resonant layers such that theoretically simulated loss is reduced to 0.1 dB/km, and has the features of ultralow transmission loss, wide spectral bandwidth, low bending loss, low transmission loss, high damage threshold and single-mode transmission.

Anti-resonant hollow core optical fiber having multiple resonant layers

The present application discloses an instance-based distributed data recovery method. A specific implementation of the method includes: detecting a non-master down node; allocating multiple secondary storage units corresponding to the down node to at least one online node; performing hash grouping on instances stored on logs and allocating the instances to multiple threads; and recovering data of multiple primary storage units in parallel inside the online node. Embodiments of the present invention recover data of a down node in a distributed database in parallel in nodes.

Instance-based distributed data recovery method and apparatus

A method and apparatus for storing time series data are disclosed. A method may include: saving an index value of time series data to a time interval data table according to a time point of the time series data, wherein the time series data includes: a time point and an index value associated with the time point, and each data row in the time interval data table records index values associated with at least one time point within a time interval of a predetermined length; performing data compression processing on a storage area having no written data, to obtain compressed time interval data; and writing the compressed time interval data to a magnetic disk.

Method and apparatus for storing time series data

A method of testing an interconnect between an electronic component and an external memory comprises receiving a data word having data bits and translating the data word into multiple cycles. The multiple cycles are transmitted through the interconnect to the external memory one after another such that a value of the data bit being transmitted is switched for each cycle. In another embodiment, an electronic component comprises an interface, a translation unit, and a test module. The translation module is configured to receive a burst from the external memory through the interface and is configured to translate the burst into a data word. The test module is configured to receive the data word from the translation module and is configured to compare the data word to a test pattern to detect an interconnect defect.

PRBS test memory interface considering DDR burst operation

Growing community of inventors

Beijing, China

Pu Wang