Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).

Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).

Abstract: An information configuration method includes transmitting a signal to a display of an electronic apparatus at a first transmission frequency, and, upon detecting that a current frequency band of the electronic apparatus is not in the first frequency band, switching the first transmission frequency to a second transmission frequency when the display is inactive. A parameter of the electronic apparatus associated with the first transmission frequency meets a predetermined condition when the electronic apparatus operates at a first frequency band. The parameter associated with the second transmission frequency meets the predetermined condition when the electronic apparatus operates at a second frequency band.

Abstract: Embodiments of the present specification provide chips and chip-based data processing methods. In an embodiment, a method comprises: obtaining data associated with one or more neural networks transmitted from a server; for each layer of a neural network of the one or more neural networks, configuring, based on the data, a plurality of operator units based on a type of computation each operator unit performs; and invoking the plurality of operator units to perform computations, based on neurons of a layer of the neural network immediately above, of the data for each neuron to produce a value of the neuron.

Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).

Abstract: Embodiments of the present specification provide chips and chip-based data processing methods. In an embodiment, a method comprises: obtaining data associated with one or more neural networks transmitted from a server; for each layer of a neural network of the one or more neural networks, configuring, based on the data, a plurality of operator units based on a type of computation each operator unit performs; and invoking the plurality of operator units to perform computations, based on neurons of a layer of the neural network immediately above, of the data for each neuron to produce a value of the neuron.

Abstract: An FPGA hardware device obtains encrypted data of each participant of a secure computing system, where the FPGA hardware device stores at least one first key, where the at least one first key is at least one first key of all participants in the secure computing system or at least one first key of a predetermined number of trusted managers in the secure computing system, where the FPGA hardware device includes an FPGA chip. The FPGA hardware device decrypts the encrypted data of each participant by using a working key of each participant, to obtain plaintext data of each participant, where the working key of each participant is obtained based on a corresponding first key of the at least one first key. The FPGA hardware device performs computing based on the plaintext data of each participant to obtain a computing result. The FPGA hardware device outputs the computing result.

Abstract: Embodiments of the present specification provide chips and chip-based data processing methods. In an embodiment, a method comprises: obtaining data associated with one or more neural networks transmitted from a server; for each layer of a neural network of the one or more neural networks, configuring, based on the data, a plurality of operator units based on a type of computation each operator unit performs; and invoking the plurality of operator units to perform computations, based on neurons of a layer of the neural network immediately above, of the data for each neuron to produce a value of the neuron.

Abstract: Implementations of the present specification provide a model-based prediction method and apparatus. The method includes: a model running environment receives an input tensor of a machine learning model; the model running environment sends a table query request to an embedding running environment, the table query request including the input tensor, to request low-dimensional conversion of the input tensor; the model running environment receives a table query result returned by the embedding running environment, the table query result being obtained by the embedding running environment by performing embedding query and processing based on the input tensor; and the model running environment inputs the table query result into the machine learning model, and runs the machine learning model to complete model-based prediction.

Abstract: An FPGA hardware device obtains encrypted data of each participant of a secure computing system, where the FPGA hardware device stores at least one first key, where the at least one first key is at least one first key of all participants in the secure computing system or at least one first key of a predetermined number of trusted managers in the secure computing system, where the FPGA hardware device includes an FPGA chip. The FPGA hardware device decrypts the encrypted data of each participant by using a working key of each participant, to obtain plaintext data of each participant, where the working key of each participant is obtained based on a corresponding first key of the at least one first key. The FPGA hardware device performs computing based on the plaintext data of each participant to obtain a computing result. The FPGA hardware device outputs the computing result.

Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).

Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).

Abstract: An FPGA hardware device obtains encrypted data of each participant of a secure computing system, where the FPGA hardware device stores at least one first key, where the at least one first key is at least one first key of all participants in the secure computing system or at least one first key of a predetermined number of trusted managers in the secure computing system, where the FPGA hardware device includes an FPGA chip. The FPGA hardware device decrypts the encrypted data of each participant by using a working key of each participant, to obtain plaintext data of each participant, where the working key of each participant is obtained based on a corresponding first key of the at least one first key. The FPGA hardware device performs computing based on the plaintext data of each participant to obtain a computing result. The FPGA hardware device outputs the computing result.

Abstract: Embodiments of the present specification provide chips and chip-based data processing methods. In an embodiment, a method comprises: obtaining data associated with one or more neural networks transmitted from a server; for each layer of a neural network of the one or more neural networks, configuring, based on the data, a plurality of operator units based on a type of computation each operator unit performs; and invoking the plurality of operator units to perform computations, based on neurons of a layer of the neural network immediately above, of the data for each neuron to produce a value of the neuron.

Abstract: A three-dimensional (3D) microscope includes various insertable components that facilitate multiple imaging and measurement capabilities. These capabilities include Nomarski imaging, polarized light imaging, quantitative differential interference contrast (q-DIC) imaging, motorized polarized light imaging, phase-shifting interferometry (PSI), and vertical-scanning interferometry (VSI).

Abstract: An information configuration method includes transmitting a signal to a display of an electronic apparatus at a first transmission frequency, and, upon detecting that a current frequency band of the electronic apparatus is not in the first frequency band, switching the first transmission frequency to a second transmission frequency when the display is inactive. A parameter of the electronic apparatus associated with the first transmission frequency meets a predetermined condition when the electronic apparatus operates at a first frequency band. The parameter associated with the second transmission frequency meets the predetermined condition when the electronic apparatus operates at a second frequency band.

Abstract: Processes for separating CO2 from a gas mixture containing one or more of hydrogen, nitrogen, argon, CO, and methane or a combination thereof is described. The processes involve, for example, cooling and partial condensation of the gas mixture, preferably by a single loop refrigeration system with a mixed refrigerant, phase separation of the partially condensed stream, and distillation of the CO2-rich liquid stream. At least a portion of the liquid CO2 produced from the processes during the off-peak electricity demand hours can be stored and then heated, vaporized, further heated, and expanded for power generation during the peak electricity demand hours, helping balance the supply and demand of electricity of the electricity grid.

Abstract: A dual mode inspector includes an optical inspector configured to detect a defect located at a first location on a sample, a microscope configured to capture an image of the defect at the first location on the sample, and a platform that is configured to support the sample. The sample is not removed from the platform between the detecting of the defect located at the first location on the sample and the capturing of the image of the defect at the first location on the sample. The dual mode optical inspector also includes a controller that causes the optical inspector to detect the defect located at the first location on the sample and causes the microscope to capture the image of the defect at the first location on the sample. The dual mode inspector also performs scanning lens distortion correction to improve the capturing of defect images.

Abstract: An FPGA hardware device obtains encrypted data of each participant of a secure computing system, where the FPGA hardware device stores at least one first key, where the at least one first key is at least one first key of all participants in the secure computing system or at least one first key of a predetermined number of trusted managers in the secure computing system, where the FPGA hardware device includes an FPGA chip. The FPGA hardware device decrypts the encrypted data of each participant by using a working key of each participant, to obtain plaintext data of each participant, where the working key of each participant is obtained based on a corresponding first key of the at least one first key. The FPGA hardware device performs computing based on the plaintext data of each participant to obtain a computing result. The FPGA hardware device outputs the computing result.

Abstract: The invention provides a general type of porous coordination solids, metal-organic frameworks (MOFs), as an electrode additive to improve thermal stability, rate and cycle performances of batteries, and an electrode having the electrode additive. The incorporation of the MOF additive into the electrode is fully compatible with current battery manufacturing process. Activated MOF additive serves as an electrolyte modulator to enhance cationic transport and alleviates interfacial resistance by interacting liquid electrolyte with unsaturated open metal sites. Moreover, the flow-free liquid in solid configuration is realized by encapsulating liquid electrolyte into porous scaffold of MOF, which offers superior thermal stability.