Abstract: A computing device and related products are provided. The computing device is configured to perform machine learning calculations. The computing device includes an operation unit, a controller unit, and a storage unit. The storage unit includes a data input/output (I/O) unit, a register, and a cache. Technical solution provided by the present disclosure has advantages of fast calculation speed and energy saving.

Abstract: Provided are a pressure difference sensor, and a manufacturing method and an application thereof. A manner of bonding three layers of wafers is adopted, and the sensor includes an upper structure, an intermediate structure and a lower structure. Each of the upper structure and the intermediate structure is manufactured by a silicon-on-insulator (SOI) wafer, the lower structure is manufactured by patterned doped intrinsic silicon; and a lead pad of each of the upper electrode, and the intermediate electrode and the lower electrode is located on a corresponding one of three-stepped steps at a side of the pressure difference sensor. Annular through holes are formed around the upper electrode and the lower electrode. A constant capacitance of a capacitance signal outputted by an upper capacitor of the sensor by extending an electric field line path of the constant capacitor part.

Abstract: The Reinforcement Learning Based Machine Retirement Planning and Management Apparatuses, Processes and Systems (“MRLAPM”) transforms machine learning training input, order optimization input, withdrawal policy optimization input datastructure/inputs via MRLAPM components into machine learning training output, order optimization output, withdrawal policy optimization output outputs. A machine learning training request datastructure structured to specify an optimal policy reward function and a set of training sample configuration datastructures is obtained. A set of training sample datastructures is generated using the optimal policy reward function and a specified training sample configuration datastructure. An optimal policy is determined using a reinforcement learning technique and the generated set of training sample datastructures. An optimal policy datastructure structured to specify parameters that define the structure of the optimal policy is stored.

Abstract: Environmentally friendly, sustainable, and high-performance ultralight composite foams are disclosed. The composite foams are prepared from cellulose nanomaterial, polymeric material, and a crosslinking agent. The fabrication process is simple and uses only water. The composite foams exhibit an elastic strain exceeding the values reported for known nanocellulose-based foams with no reinforcement. The foams exhibit a thermal conductivity superior to that of traditional insulating materials and retain structural integrity after burning.

Abstract: Disclosed are a display panel, a manufacturing method thereof, and a displaying device. The display panel comprises a pixel layer, a support layer, a lens unit and a cover plate which are stacked in sequence. The support layer is located on a luminescent layer of the pixel layer. The lens unit comprises a lens layer, wherein the lens layer comprises a lens area and a non-lens area, and the lens area comprises multiple lenses arranged in an array. The display panel further comprises a polarization unit disposed on a light path between the pixel layer and the lens layer and configured to filter out light emitted from the pixel layer to the non-lens area.

Abstract: A network performance degradation detection system is provided. The system receives Key Performance Indicator (KPI) values for devices of different device types running different software versions. The system determines baseline values of a first device type by averaging the KPI values of the different software versions running on devices of the first device type. The system compares KPI values for a first software version running on devices of the first device type with the determined baseline values to produce a set of comparison results. The system applies the set of comparison results to a classification model to determine whether the first software version running on devices of the first device type causes network performance degradation.

Abstract: A client device may receive, from a remote computing system via a first communications channel, first graphics content for a virtual desktop of a computing environment hosted on the remote computing system and delivered to the client device. The first graphics content may be sent from the client device to at least one external. The client device may receive, from the remote computing system via a second communications channel, data indicative of at least one characteristic of plurality of resources hosted in the computing environment and accessible via the virtual desktop. While the virtual desktop is presented on the at least one external monitor and based at least in part on the received data, second graphics content indicative of the at least one characteristic of the plurality of resources may be presented on a touchscreen of the client device.

Abstract: The Reinforcement Learning Based Machine Asset Planning and Management Apparatuses, Processes and Systems (“MRLAPM”) transforms machine learning training input, order optimization input, withdrawal policy optimization input datastructure/inputs via MRLAPM components into machine learning training output, order optimization output, withdrawal policy optimization output outputs. A machine learning training request datastructure structured to specify a set of agent profile datastructures and an agent sample ranking function is obtained. An agent samples range is determined. A set of inverse reinforcement learning (IRL) training sample datastructures is generated. An optimal reward function having a determined reward function structure is determined using an IRL technique on the set of IRL training sample datastructures. An optimal policy is determined using a reinforcement learning technique and the optimal reward function.

Abstract: A half-bride combiner can be implemented as a coupling circuit having a common node and configured to couple the common node to one of first and second groups of filters through a first path and to couple the common node to the other group through a second path. The coupling circuit can be further configured such that the impedance provided by each filter of the one of the first and second groups for a signal in each band of the other group results in the signal being sufficiently excluded from the first path.

Abstract: A computer-program product storing instructions which, when executed by a computer, cause the computer to receive an input data from a sensor, wherein the input data includes data indicative of an image, wherein the sensor includes a video, radar, LiDAR, sound, sonar, ultrasonic, motion, or thermal imaging sensor, generate an adversarial version of the input data, utilizing a generator, in response to the input data, create a training data set utilizing the input data and the adversarial version of the input data, determine an update direction of a meta model utilizing stochastic gradient respect with respect to an adversarial loss, and determine a cross-entropy based classification loss in response to the input data and classification utilizing a classifier, and update the meta model and the classifier in response to the cross-entropy classification loss utilizing the training data set.

Abstract: A system and method for switching from a locally executing application to a remotely executing application. A method includes: detecting a launch of an application on a computing device, the application being executable locally on the computing device; rendering an element in a user interface presented within a display of the computing device, the element configured to substitute the application with a corresponding application that executes on a remote computing device; and in response to input received on the element, launching the corresponding application on the remote computing device and terminating execution of the application on the computing device.

Abstract: This application provides techniques of generating an audio resource pool based on extracting audio from target videos. The techniques comprise obtaining target videos; determining at least one to-be-processed video from the target videos based on audio features of the target videos; extracting audio from the at least one to-be-processed video; and generating an audio resource pool based on the extracted audio.

Abstract: Environmental tracking systems and methods are disclosed. An environmental tracking system receives sensor data from the one or more sensors, such as camera(s) and Light Detection and Ranging (LIDAR) sensors. The system uses trained machine learning (ML) model(s) to detect, within the sensor data, representation(s) of at least a portion of a vehicle with a door that is at least partially open. Based on these representation(s), the system generates a boundary for the vehicle that includes the door and is sized based on the door being at least partially open. The system determines a route that avoids the boundary, for example by planning the route around the boundary or by planning to stop before intersecting with the boundary. In some examples, the sensors are sensors coupled to a second vehicle, and the second vehicle traverses the route.

Abstract: Methods and apparatuses for enhancing accessibility of a target application which is for processing topology diagrams are provided. An indication of selecting a target element in a topology diagram may be received. Connection status of the target element may be determined based on topology information of the topology diagram. Connection information of the target element corresponding to the connection status of the target element may be generated. Description information of the target element may be provided to an accessibility assistant application, the description information of the target element at least comprising the connection information of the target element.

Abstract: The invention relates to a method for preparing core-shell structured particle precursor under a co-precipitation reaction. In this method, by controlling the feeding of different types of anion compositions and/or cation compositions, and adjusting the pH to match with the species, precipitated particles are deposited to form a precipitated particle slurry, filtering, and drying the precipitated particle slurry to yield the particle precursor. The invention also provides a particle precursor which includes a core-shell structure. The shell is made of gradient anions and/or cations. Such particle precursor can be used to prepare cathode of lithium-ion battery.

Abstract: The present invention discloses a kind of centrifugal detection channel, including: a first chamber, at least one inlet channel, at least one buffer valve, at least one outlet channel, and a second chamber. Specifically, at least one inlet channel is connected to the first chamber. At least one buffer valve is connected to the inlet channel, including: a valve body and a transient chamber. At least one outlet channel is connected to the buffer valve. At least one second chamber is connected to the outlet channel. In addition, the detection devices and the detection methods comprising the centrifugal detection channel have also been proposed.

Abstract: In one aspect, an example methodology implementing the disclosed techniques can include, by a first computing device, receiving information regarding a new task to be performed by a user and extracting one or more keywords from the information regarding the new task. The method can also include, by the first computing device, identifying one or more resources relevant to the new task based on relevancy scores, a relevancy score for a resource indicative of the relevancy of the one or more keywords to the resource. The method can further include, by the first computing device, sending information regarding the one or more resources relevant to the new task to a second computing device, the second computing device configured to augment the new task with the information regarding the one or more resources relevant to the new task.

Abstract: The automatic generation of malware family signatures is disclosed. A set of metadata associated with a plurality of samples is received. The samples are clustered. For members of a first cluster, a set of similarities shared among at least a portion of the members of the first cluster is determined. The similarities are evaluated for suitability as a malware family signature. Suitability is evaluated based on how well the similarities uniquely identify the members of the first cluster. In the event the similarities are determined to be suitable as a malware family signature, a signature is generated.

Abstract: Provided are a display substrate, a display apparatus and a display method therefor. The display substrate includes: a base substrate; pixel units on the base substrate; and an electrochromic structure on a side of the pixel units that is away from the base substrate. The transmittance of the electrochromic structure is positively correlated with the brightness of the pixel units when displaying an image, such that the contrast of the display substrate is improved, and the display effect is improved.

Abstract: A communication configuration apparatus for constructing a communication topology structure based on a plurality of processing nodes may be included in a combined processing apparatus. The combined processing apparatus further includes an interconnection interface and other processing apparatus. The communication configuration apparatus interacts with other processing apparatus to jointly complete a computing operation specified by a user. The combined processing apparatus further includes a storage apparatus. The storage apparatus is connected to the communication configuration apparatus and other processing apparatuses, respectively. The storage apparatus is used for storing data of the communication configuration apparatus and other processing apparatus. A technical solution of the present disclosure may improve efficiency of inter-chip communication.