Abstract: Embodiments of the present disclosure relate to real-time digitally signing of a virtual object. The real-time digital signing of a virtual object is provided in a multi-user real-time context between signor and signee that enables the signor to perform the real-time digital signing and the signee to visually experience the real-time signing. The real-time digital signing may be provided to the signor and signee in parallel, and/or one or more additional viewers taking part in the digital signing. Upon completion of the digital signing, some embodiments in near-real-time generate a digital asset that is linked to the virtual object modified with the digital signature, which may be assigned to and/or otherwise linked with the signee for subsequent retrieval and/or use.

Abstract: A brush for applying a product including a cosmetic, care, or pharmaceutical product onto the keratinous surface of a user. The applying member includes a support head and a plurality of bristles extends from a distal end face of the support head along a longitudinal axis of the support head. The distal end face of the support head comprises a first distal end face and a second distal end face. The first distal end face and the second distal end face are substantially flat surfaces that intersect each other to form a ridge on the distal end face. The ridge on the distal end face extends along an axis perpendicular to a longitudinal axis of the support head.

Abstract: Embodiments of this application provide a method and system for adjusting a memory, and a semiconductor device. The method for adjusting a memory includes: acquiring a mapping relationship among a temperature of a transistor, a substrate bias voltage of a sense amplification transistor in a sense amplifier, and an actual data writing time of the memory; acquiring a current temperature of the transistor; and adjusting the substrate bias voltage on the basis of the current temperature and the mapping relationship, such that an actual data writing time corresponding to an adjusted substrate bias voltage is within a preset writing time.

Abstract: The disclosure provides a Sense Amplifier (SA), a memory and a method for controlling the SA, and relates to the technical field of semiconductor memories. The SA includes: an amplifier module; an offset voltage storage unit electrically connected to the amplifier module and configured to store an offset voltage of the amplifier module in an offset elimination stage of the SA; and a load compensation unit electrically connected to the amplifier module and configured to compensate a difference between loads of the amplifier module in an amplification stage of the SA. The disclosure may improve an accuracy of reading data of the SA.

Abstract: Obtain, at a computing device, a segment of computer code. With a classification module of a machine learning system executing on the computing device, determine a required annotation category for the segment of computer code. With an annotation generation module of the machine learning system executing on the computing device, generate a natural language annotation of the segment of computer code based on the segment of computer code and the required annotation category. Provide the natural language annotation to a user interface for display adjacent the segment of computer code.

Abstract: The sense amplifier includes: an amplification module configured to amplify a voltage transmitted by a bit line or a reference bit line, when the sense amplifier is at an amplification stage; a first switch module configured to control the amplification module to be disconnected from the reference bit line, when the sense amplifier performs a read operation for the bit line and is at the amplification stage. In the disclosure, the power consumption of the sense amplifier may be reduced.

Abstract: A sense amplifier, a memory and a method for controlling the sense amplifier are provided. The sense amplifier includes: an amplification module, arranged to read data in a memory cell; and a control module, electrically connected to the amplification module. In a first offset compensation stage of the sense amplifier, the control module is arranged to configure the amplification module to include a first inverter and a second inverter, and each of the first inverter and the second inverter is an inverter an input terminal and an output terminal connected to each other; and in a second offset compensation stage of the sense amplifier, the control module is arranged to configure the amplification module to include a current mirror structure.

Abstract: A read/write method includes: applying a read command to a memory device, the read command pointing to address information, reading to-be-read data from a storage cell corresponding to the address information to which the read command points, and if an error occurs in the to-be-read data, storing the address information to which the read command points in a preset storage space. The read/write operation is not performed on the address information stored in the preset storage space when the user executes the read or write operation on the memory device, which avoids a data error or data loss and greatly improves the reliability and prolongs the service life of the memory device.

Abstract: The embodiments provide a method for reading and writing and a memory device. The method includes: applying a read command to the memory device, the read command pointing to address information; reading data to be read out from a memory cell corresponding to the address information pointed to by the read command; and storing the address information pointed to by the read command into a preset memory space if an error occurs in the data to be read out, and backing up the address information stored in the preset memory space into a non-volatile memory cell according to a preset rule.

Abstract: A memory is provided. The memory includes: a control chip; and a plurality of storage chips, in which the plurality of storage chips are electrically connected with the control chip via a common communication channel, the plurality of storage chips are configured to perform information interaction with the control chip by adopting different clock edges of a first clock signal, the first clock signal has a first clock cycle, the different clock edges include two consecutive rising edges and/or two consecutive falling edges, the plurality of storage chips are further configured to receive a second clock signal and distinguish the different clock edges based on the second clock signal, and a second clock cycle of the second clock signal is greater than the first clock cycle.

Abstract: The present invention provides a multilingual speech recognition and translation method for a conference. The conference includes at least one attendee, and the method includes: receiving, at a server, at least one piece of audio data and at least one piece of video data generated by at least one terminal apparatus; analyzing the video data to generate a video recognition result related to an attendance, and an ethnic of the attendee and a body movement, and a facial movement of the attendee when talking; generating at least one language family recognition result according to the video recognition result and the audio data, and obtaining a plurality of audio segments corresponding to the attendee; performing speech recognition on and translating the audio segments; and displaying a translation result on the terminal apparatus. The method further determines a quantity of conference attendees according to their respective distances from their device microphones.

Abstract: A synthesis method of a targeted drug nCoVshRNA.2ACE2 of a COVID-19 virus, which includes the following steps: designing a consensus RNAi sequence siRNA of the COVID-19 virus and a variant strain thereof; synthesizing two complementary siRNAs into a small hairpin-shaped shRNA with a loop, and synthesizing ACE2 or a cell penetrating peptide ACE2 with a receptor-binding domain (RBD) as a ligand; and ligating the ACE2 to a sense strand and an antisense strand of the shRNA separately to synthesize the nCoVshRNA.2ACE2 including a shRNA region and an ACE2 region. The bivalent ACE2 functions to neutralize the RBD and deliver the shRNA in a targeted manner; an “shRNA-ACE2-RBD-virus” complex bridged by the ACE2 allows the shRNA to enter target cells with virus infection, thereby avoiding a side effect of non-specific delivery of the shRNA to uninfected cells, as well as resisting the variant strain and neutralizing the virus with the ACE2.

Abstract: An organic light emitting diode (OLED) display panel and an electronic device are provided. The OLED display includes an under-screen camera display region and a normal display region surrounding the under-screen camera display region. A pixel density of the under-screen camera display region is less than a pixel density of the normal display region. By lowering the pixel density of the under-screen camera display region, and thereby raising a light transmittance of the under-screen camera display region, an under-screen camera and a true full screen display are realized.

Abstract: A map establishment method and a map establishment system are provided. The map establishment method includes: detecting a physical motion performed by a user and generating motion sensing data by at least one motion sensor; obtaining spatial dimension information, in multiple directions, of a target place where the user is located and information of an obstacle in the target place by a deep learning model according to the motion sensing data; and generating map data according to the spatial dimension information and the information of the obstacle, wherein the map data reflects a contour of the target place where the user is located and a distribution status of at least one obstacle in the target place.

Abstract: A training method of a generator network model and an electronic device for execution thereof are provided. The training method includes: extracting a first tensor matrix and a second tensor matrix, wherein the first tensor matrix and the second tensor matrix respectively represent a first picture and a second picture and individually include a plurality of first parameters and a plurality of second parameters; generating a plurality of third pictures according to a plurality of difference values between the first parameters of the first tensor matrix and the second parameters of the second tensor matrix; performing a similarity test on a plurality of original pictures and the plurality of third pictures; and adopting at least one of the third pictures whose similarity is lower than or equal to a similarity threshold as at least one new sample picture.

Abstract: A method, computer program product, and computer system for processing instances of message sequences. Two or more instances are received. Each instance has an instance number and an associated instance Id. Each instance includes a stream of one or more messages. Each message in each stream is associated with a respective task. All messages in the two or more instances whose respective tasks have been completed are distributed into partitions in the broker. Different messages in each instance of at least one instance are distributed into different partitions. The messages distributed in the partitions include parallel task messages. The parallel task messages are sequenced by being grouped by the instance number or instance Id and are sequentially ordered in each group in an ascending order of a timestamp of arrival of each parallel task message at the broker. The parallel task messages in each instance are dispatched to a service.

Abstract: A method for correcting infant crying identification includes the following steps: a detecting step provides an audio unit to detect a sound around an infant to generate a plurality of audio samples. A converting step provides a processing unit to convert the audio samples to generate a plurality of audio spectrograms. An extracting step provides a common model to extract the audio spectrograms to generate a plurality of infant crying features. An incremental training step provides an incremental model to train the infant crying features to generate an identification result. A judging step provides the processing unit to judge whether the identification result is correct according to a real result of the infant. When the identification result is different from the real result, an incorrect result is generated. A correcting step provides the processing unit to correct the incremental model according to the incorrect result.

Abstract: Described are techniques for using a dynamic ensemble model. The techniques including training a plurality of machine learning models on training data. The techniques further include identifying a similar subset of the training data that is similar to a dataset for evaluation. The techniques further include assembling a subset of models from the plurality of machine learning models based on performance of the subset of models on the similar subset of the training data. The techniques further include generating an output from the subset of models for the dataset for evaluation.

Abstract: The present invention provides a multilingual speech recognition and translation method for a conference. The conference includes at least one attendee, and the method includes: receiving, at a server , at least one piece of audio data and at least one piece of video data generated by at least one terminal apparatus; analyzing the video data to generate a video recognition result related to an attendance, and an ethnic of the attendee and a body movement, and a facial movement of the attendee when talking; generating at least one language family recognition result according to the video recognition result and the audio data, and obtaining a plurality of audio segments corresponding to the attendee; performing speech recognition on and translating the audio segments; and displaying a translation result on the terminal apparatus.

Abstract: A method for correcting infant crying identification includes the following steps: a detecting step provides an audio unit to detect a sound around an infant to generate a plurality of audio samples. A converting step provides a processing unit to convert the audio samples to generate a plurality of audio spectrograms. An extracting step provides a common model to extract the audio spectrograms to generate a plurality of infant crying features. An incremental training step provides an incremental model to train the infant crying features to generate an identification result. A judging step provides the processing unit to judge whether the identification result is correct according to a real result of the infant. When the identification result is different from the real result, an incorrect result is generated. A correcting step provides the processing unit to correct the incremental model according to the incorrect result.