Abstract: In a method for AI model optimization, an optimization device receives an original AI model and search configuration information that comprises a plurality of search items each indicating its search categories for performing optimization information search on the original AI model. The device obtains a plurality of search operators corresponding to the plurality of search items, and arranges the search operators in an operation sequence based on the search configuration information. The device then executes the search operators in the arranged operation sequence on the original AI model to obtain an optimized AI model. In the execution of the operation sequence, each search operator, except for the first search operator in the operation sequence, is executed utilizing operation results of a preceding search operator in the operation sequence, the operation results including generated network structures and search space information.

Abstract: A single-axis optical free-space communication device is described. The optical communication device may interact with entities that include or utilize elements such as retroreflectors. The optical communication device may be utilized for applications such as positioning, navigation, and/or timing (PNT), two-way communication, and/or other appropriate applications. The communication device may generate an optical output via a laser transmitter, optical fiber, and collimation lens. The optical communication device may receive optical inputs via the collimation lens, a photodetector, and receiver electronics. The optical communication device may utilize a single communication axis for transmission and reception by running an optical fiber transmission output through the center of an annular photodetector that receives reflected responses from the retroreflectors.

Abstract: Disclosed relates to novel Pyrimidine annulated derivatives of Formula (I) and the preparation methods of these compounds, and to their use as P2Y12 receptor antagonists in the treatment and/or prevention of thrombosis or related disorders.

Abstract: An optoelectronic device apparatus using active, frequency-selective metasurfaces to achieve retroreflection at a pre-determined single frequency and optionally provide signal modulation on the reflected light beam. The apparatus may use several active, frequency-selective metasurfaces to replace traditional optical lens and mirrors.

Abstract: Systems and methods of imaging a sample using a charged-particle beam apparatus are disclosed. The charged-particle beam apparatus may include a compound objective lens comprising a magnetic lens and an electrostatic lens, the magnetic lens comprising a cavity, and an electron detector located immediately upstream from a polepiece of the magnetic lens and inside the cavity of the magnetic lens. In some embodiments, deflectors may be located between the electron detector and the opening of the polepiece adjacent to the sample to achieve a large field of view. Electron distributions among the detectors can be manipulated without changing the landing energy by changing the potential of the control electrode(s) in the electrostatic objective lens. The electron source can be operated with several discrete potentials to cover different landing energies, while the potential difference between electron source and the extractor is fixed.

Abstract: The disclosure relates to isolated oligonucleotides comprising duplex regions targeting Proprotein convertase subtilisin kexin 9 (PCSK9), and delivery systems, kits and compositions comprising same, and methods of using same for inhibiting or downregulating PCSK9.

Abstract: Systems and methods of providing a probe spot in multiple modes of operation of a charged-particle beam apparatus are disclosed. The method may comprise activating a charged-particle source to generate a primary charged-particle beam and selecting between a first mode and a second mode of operation of the charged-particle beam apparatus. In the flooding mode, the condenser lens may focus at least a first portion of the primary charged-particle beam passing through an aperture of the aperture plate to form a second portion of the primary charged-particle beam, and substantially all of the second portion is used to flood a surface of a sample. In the inspection mode, the condenser lens may focus a first portion of the primary charged-particle beam such that the aperture of the aperture plate blocks off peripheral charged-particles to form the second portion of the primary charged-particle beam used to inspect the sample surface.

Abstract: Systems and methods of imaging a sample using a charged-particle beam apparatus are disclosed. The charged-particle beam apparatus may include a compound objective lens comprising a magnetic lens and an electrostatic lens, the magnetic lens comprising a cavity, and an electron detector located immediately upstream from a polepiece of the magnetic lens and inside the cavity of the magnetic lens. In some embodiments, deflectors may be located between the electron detector and the opening of the polepiece adjacent to the sample to achieve a large field of view. Electron distributions among the detectors can be manipulated without changing the landing energy by changing the potential of the control electrode(s) in the electrostatic objective lens. The electron source can be operated with several discrete potentials to cover different landing energies, while the potential difference between electron source and the extractor is fixed.

Abstract: A neural network architecture search method includes: receiving an optimization request, where the optimization request includes a model file and an optimization requirement of a to-be-optimized model, and the optimization requirement includes a performance requirement and a hardware requirement; performing neural architecture search processing in search space based on the model file, to obtain a neural network architecture that meets the optimization requirement; and returning the neural network architecture.

Abstract: A model weight obtaining method includes obtaining structure information of a first neural network model; searching, based on the structure information of the first neural network model, a weight library that stores a plurality of groups of historical weights to obtain a reference weight, where the reference weight is a weight of a second neural network model having a structure similar to that of the first neural network model in the plurality of groups of historical weights; and converting the reference weight to obtain a weight of the first neural network model. In the method, a weight of a neural network model having a structure similar to that of a to-be-trained neural network model is searched for in a weight library, and the weight is converted, to obtain a weight that can be used by the to-be-trained neural network model.

Abstract: An optoelectronic device apparatus using active, frequency-selective metasurfaces to achieve retroreflection at a pre-determined single frequency and optionally provide signal modulation on the reflected light beam. The apparatus may use several active, frequency-selective metasurfaces to replace traditional optical lens and mirrors.

Abstract: The present application provides a shoe box, comprising a box body, the box body comprises a hollow storage cavity, the storage cavity comprises a front opening; a box door, which is configured to close the box body, and the box door has an open state and a closed state; the box body comprises a first driving component for driving the box door to open or close, and the first driving component reciprocates along a depth direction of the storage cavity; the box door is accommodated in the storage cavity, when the box door is in the open state; the box door is stopped by the front opening, when the box door is in the closed state. In the present application, the box door is driven by a first driving component reciprocated along the depth direction of the storage cavity on the box body.

Abstract: In a method for AI model optimization, an optimization device receives an original AI model and search configuration information that comprises a plurality of search items each indicating its search categories for performing optimization information search on the original AI model. The device obtains a plurality of search operators corresponding to the plurality of search items, and arranges the search operators in an operation sequence based on the search configuration information. The device then executes the search operators in the arranged operation sequence on the original AI model to obtain an optimized AI model. In the execution of the operation sequence, each search operator, except for the first search operator in the operation sequence, is executed utilizing operation results of a preceding search operator in the operation sequence, the operation results including generated network structures and search space information.

Abstract: The present application provides a shoe box, comprising a box body, the box body comprises a hollow storage cavity, the storage cavity comprises a front opening; a box door, which is configured to close the box body, and the box door has an open state and a closed state; the box body comprises a first driving component for driving the box door to open or close, and the first driving component reciprocates along a depth direction of the storage cavity; the box door is accommodated in the storage cavity, when the box door is in the open state; the box door is stopped by the front opening, when the box door is in the closed state. In the present application, the box door is driven by a first driving component reciprocated along the depth direction of the storage cavity on the box body.

Abstract: A neural network optimization method includes receiving a model file of a to-be-optimized neural network; obtaining a search space of a target neural network architecture based on the model file of the to-be-optimized neural network, where the search space includes a value range of each attribute of each neuron in the target neural network architecture; obtaining the target neural network architecture based on the search space; training the target neural network architecture based on the model file of the to-be-optimized neural network, to obtain a model file of a target neural network; and providing the model file of the target neural network to a user.

Abstract: The present application provides a cabinet with a bendable drying device, comprising a cabinet body provided with a storage cavity and a dryer, and the dryer comprises a main body, a bracket, a heater and a fan, the bracket is provided with a first air duct and a first air outlet, the heater and the fan are arranged in the first air duct or communicated with the first air duct, and a first included angle is formed between the bracket and the main body, so that the bracket can be inserted into shoes. The hot airflow generated by the fan and heater flows into the shoes through the first air channel and the first air outlet for drying. The bracket comprises a first end and a second end that are relatively rotatable or deformable, and a variable second included angle is formed between the first end and the second end.

Abstract: A method, apparatus and system for performing optical positioning. The apparatus comprises a laser transmitter configured to transmit a laser beam toward a retroreflector, where the location of retroreflector is known and the retroreflector reflects the laser beam and imparts modulation onto the laser beam. An optical receiver receives the reflected laser beam reflected from the retroreflector and a processor extracts a code from the modulation, determines the location of the retroreflector and calculates the distance from the apparatus to the retroreflector and uses the code and distance to determine a position of the apparatus.

Abstract: This application provides a neural architecture search method, applied to a search system. The search system includes a generator and a searcher. The method includes: The generator generates a plurality of neural network architectures based on a search space; the searcher obtains evaluation indicator values of a plurality of child models obtained based on the plurality of neural network architectures on first hardware; and the searcher determines, based on the neural network architectures corresponding to the plurality of child models and the evaluation indicator values of the plurality of child models on the first hardware, a first target neural network architecture that meets a preset condition. In this way, different initial child model training processes are decoupled, and a neural architecture search process is decoupled from an initial child model training process, so that search duration is reduced and search efficiency is improved.

Abstract: Systems and methods of providing a probe spot in multiple modes of operation of a charged-particle beam apparatus are disclosed. The method may comprise activating a charged-particle source to generate a primary charged-particle beam and selecting between a first mode and a second mode of operation of the charged-particle beam apparatus. In the flooding mode, the condenser lens may focus at least a first portion of the primary charged-particle beam passing through an aperture of the aperture plate to form a second portion of the primary charged-particle beam, and substantially all of the second portion is used to flood a surface of a sample. In the inspection mode, the condenser lens may focus a first portion of the primary charged-particle beam such that the aperture of the aperture plate blocks off peripheral charged-particles to form the second portion of the primary charged-particle beam used to inspect the sample surface.

Abstract: Systems and methods of providing a probe spot in multiple modes of operation of a charged-particle beam apparatus are disclosed. The method may comprise activating a charged-particle source to generate a primary charged-particle beam and selecting between a first mode and a second mode of operation of the charged-particle beam apparatus. In the flooding mode, the condenser lens may focus at least a first portion of the primary charged-particle beam passing through an aperture of the aperture plate to form a second portion of the primary charged-particle beam, and substantially all of the second portion is used to flood a surface of a sample. In the inspection mode, the condenser lens may focus a first portion of the primary charged-particle beam such that the aperture of the aperture plate blocks off peripheral charged-particles to form the second portion of the primary charged-particle beam used to inspect the sample surface.