Abstract: The present application relates to the technical field of robots, and discloses a robot control method based on a physical engine. The method includes: obtaining the current first resultant force to which a robot is subjected and the current second resultant force to which a virtual object in a virtual environment constructed by a physical engine is subjected; determining the current motion information corresponding to the current first resultant force and the current second resultant force according to the corresponding relationship between the force and the motion information; wherein the current second resultant force is determined by the physical engine according to the previous motion information corresponding to the previous first resultant force of the robot and the previous second resultant force of the virtual object, and the current motion information enables the current first resultant force and the current second resultant force to tend to be synchronized.

Abstract: An ankle joint device comprises a base, an angle adjusting assembly, and a foot support member; the angle adjusting assembly comprises a rotation member and an anti-rotation member, wherein the rotation member is rotationally mounted on the base, and the anti-rotation member is slidably and detachably locked to the rotation member along the axial direction defined by the rotation member; the foot support member is mounted to the anti-rotation member, after the anti-rotation member slides away from the rotation member in the axial direction by a predetermined distance, the foot support member is allowed to rotate at a predetermined angle, and the foot support member is locked to the rotation member to rotate with the rotation member relative to the base after the anti-rotation member slides close to the rotation member in the axial direction by a predetermined distance in a state of being maintained at the predetermined angle.

Abstract: An electronic device may have a housing. The housing may be characterized by a vertical axis and may have housing structures such as cylindrical housing structures with a cylindrical surface. A speaker may be mounted in the housing to provide sound through openings in the housing structures. A visual output device may be mounted in the housing to provide light through openings in the housing structures. The visual output device may include an electrophoretic display, a light-emitting diode display, or other display with an array of pixels that display images or may include other components for emitting light. During operation, voice commands may be received by a microphone in the device and action taken based on the commands and other information. The action taken may include playing sound with the speaker and providing visual output with the visual output device.

Abstract: A method for synthesizing 3-bromo-5-(2-ethylimidazo[1,2-a] pyridine-3-carbonyl)-2-hydroxybenzonitrile, particularly relates to a method for synthesizing a compound represented by a formula (III), and particularly relates to step A or step B; step A: a compound represented by a formula (I) and a compound represented by a formula (II) are first heated in an organic solvent to react, and the resulting reaction product and a base are heated in the presence of water to continue the reaction to obtain a compound represented by a formula (III); and step B: a compound represented by the formula (I), a compound represented by a formula (II), and a base are heated in an organic solvent to react, and the resulting reaction product is heated in the presence of water to continue the reaction to obtain a compound represented by a formula (III).

Abstract: Systems and/or methods may include an edge-computing distributed neural processor to effectively reduce the data traffic and physical wiring congestion. A local and global networking architecture may reduce traffic among multi-chips in edge computing. A mixed-signal feature extraction approach with assistance of neural network distortion recovery is also described to reduce the silicon area. High precision in signal features classification with a low bit processing circuitry may be achieved by compensating with a recursive stochastic rounding routine, and provide on-chip learning to re-classify the sensor signals.

Abstract: A systolic neural CPU (SNCPU) including a two-dimensional systolic array of reconfigurable processing elements (PE's) fuses a conventional CPU with a convolutional neural network (CNN) accelerator in four phases of operation: row-CPU, column-accelerator, column-CPU, and row-accelerator. The SNCPU cycles through the four phases to avoid costly data movement across cores, reduce overhead, and reduce latency. The PE's communicate bidirectionally with neighboring PE's and memory units at an outer edge of the array. A row of PE's is configurable into a first deep neural network (DNN) accumulator at a first time and configurable into a first CPU pipeline at a second time. A column of PE's is configurable into a second DNN accumulator at a third time and configurable into a second CPU pipeline at a fourth time.

Abstract: The disclosed are shelf-stable beta-hydroxyisovaleric acid containing soft gel compositions and methods for making such compositions. In certain aspects, disclosed compositions comprise a plant-based capsule shell and a liquid formulation comprising beta-hydroxyisovaleric acid and at least one excipient, wherein the soft gel capsule is shelf-stable. In certain aspects, the excipient is selected from selected from choline salt, betaine, phosphatidylcholine, alpha-glycerophosphocholine, carnitine, adenosine 5?-triphosphate, or a combination thereof.

Abstract: The invention relates to a hybrid power drive system, comprising: an internal combustion engine having a crankshaft; a first electric motor (14), wherein the first electric motor (14) is an outer rotor electric motor, and comprises an outer rotor (14.2) that is rigidly connected to the crankshaft and rotates together with the crankshaft; a transmission (15) comprising an input shaft (20); and a clutch (18) that is provided between the first electric motor (14) and the transmission (15), and is connected to the input shaft (20) of the transmission. The clutch (18) is configured to be capable of switching between the following positions: an engagement position where the clutch (18) is engaged with the outer rotor (14.2); and a separation position where the clutch (18) is separated from the outer rotor (14.2). The present system is simple in structure, high in efficiency, and low in manufacturing and maintenance costs.

Abstract: A prediction method for water quality biotoxicity based on artificial intelligence neural network is provided, which relates to the field of water quality biotoxicity prediction technologies, and is used to solve a problem that water quality biotoxicity detection is limited to water quality organisms themselves. The prediction method uses a system including a water quality analysis unit configured to analyze simulated to-be-predicted waters to obtain variation values of water pollution, a fish analysis unit configured to analyze a fish situation of test fish to obtain fish abnormal values, a water quality determination unit configured to determine water quality of the simulated to-be-predicted waters to obtain an actual water quality level of the simulated to-be-predicted waters and send it to a data comparison unit, and the data comparison unit configured to compare data of water quality situation of the simulated to-be-predicted waters to obtain a prediction result of water quality biotoxicity.

Abstract: Implementations relate to updating agricultural records that include inferences gathered by one or more sensors deployed at an agricultural location. The records are matched to mapping tiles of a mapping application and the mapping tile records are updated according to the updated data that was received. Implementations further include identifying parent tiles to each of the updated records, where a parent tile is an aggregation of multiple mapping tiles that can be utilized by a mapping application to render an interface that allows a user to view the data with varying degrees of granularity.

Abstract: Systems and methods for a unified reconfigurable neural central processing unit is provided. In one aspect, a neural central processing unit is in communication with a memory, wherein the neural central processing unit is configured to transition between a binary neural network accelerator mode and a central processing unit mode, wherein, in the binary neural network accelerator mode, the memory is configured as an image memory and weight memories, wherein, in the central processing unit mode, the memory is reconfigured, from the image memory and the weight memories, to a data cache.

Abstract: A head-mounted device may have a head-mounted support structure, a gaze tracker in the head-mounted support structure, and one or more displays in the head-mounted support structure. For example, two displays may display images to two eye boxes. The display may display a virtual keyboard and may display a text input in response to a gaze location that is determined by the gaze tracker. The gaze tracker may additionally determine a gaze swipe input, or a camera in the support structure may determine a hand swipe input, and the swipe input may be used with the gaze location to determine the text input. In particular, the swipe input may create a swipe input curve that is fit to the text input to determine the text input. A user's hand may be used as a secondary input to indicate the start or end of a text input.

Abstract: In certain aspects, a system-on-a-chip (SoC) for human activity recognition includes a plurality of integrated low-noise amplifiers configured to sense electromyogram (EMG) signals. The SoC includes a mixed-signal circuitry configured to receive the EMG signals from the plurality of integrated low-noise amplifiers, wherein the mixed-signal circuitry is configured to digitalize and extract time-domain features from the EMG signals. The SoC includes an artificial intelligence (AI) core comprising a reconfigurable neural network (NN) configured to receive, from the mixed-signal circuitry, the time-domain features that were extracted, wherein the reconfigurable NN is configured to recognize a local gesture based on time-domain features that is extracted. The SoC includes an analog data path circuitry configured to sense distance measurements and to transmit the distance measurements and the local gesture that is recognized.

Abstract: In certain aspects, a compute-in-memory processor includes central computing units configured to operate in a central processing unit mode and a deep neural network mode. A data activation memory and a data cache output memory are in communication with the compute-in-memory processor. In the deep neural network mode, the data activation memory is configured as input memory and the data cache output memory is configured as output memory. In the central processing unit mode, the data activation memory is configured as a first data cache and the data cache output memory is configured as a register file and a second data cache.

Abstract: From an input image comprising a portion of text, the portion of text is extracted. The portion of text comprises text in a first natural language. The input image is classified into a candidate scene within a set of predefined scenes. The candidate scene is scored according to a quality measure. Using a predefined scene parameter of the scored candidate scene, the portion of text is translated. In the input image, the portion of text is replaced. with the translated portion of text.

Abstract: The disclosed are shelf-stable beta-hydroxyisovaleric acid containing soft gel compositions and methods for making such compositions. In certain aspects, disclosed compositions comprise a plant-based capsule shell and a liquid formulation comprising beta-hydroxyisovaleric acid and at least one excipient, wherein the soft gel capsule is shelf-stable. In certain aspects, the excipient is selected from selected from choline salt, betaine, phosphatidylcholine, alpha-glycerophosphocholine, carnitine, adenosine 5?-triphosphate, or a combination thereof.

Abstract: A machine learning based control scheme for a buck converter achieves fast and more energy efficient regulation of power supply change using a machine learning module that predicts upcoming supply droop or overshoot. The prediction results may be sent to a buck converter to provide power regulation in time so that the buck converter can mitigate the droop or overshoot. An event-based detection and reaction control circuit, serving as “safety net” may address mispredictions. The machine learning module may consider a microprocessor's internal operation states and earlier supply voltages. The event-based control circuit nay include both a fast droop response circuit and a slow droop response circuit that address different supply droop scenarios.

Abstract: Aspects of the present disclosure relate generally to UI automation in RPA and, more particularly, to automation of contextual UI element identification by RPA robots. For example, a computer-implemented method includes: receiving, by a processor set, user interface context identification information of attributes of user interface elements in user interface code of an application; constructing, by the processor set, a model of the attributes of the user interface elements including an attribute indicating functionality of at least one user interface element; obtaining from the model of the attributes of the user interface elements an identification of the at least one user interface element referenced in an action command for performing the functionality of the at least one user interface element in robotic process automation code; and storing, by the processor set, the model of the attributes of the user interface elements in persistent storage.

Abstract: The present disclosure relates to the technical field of pyrolysis and improvement of caking middling coals, in particular to a low temperature pyrolysis method of a caking middling coal. The present disclosure provides a low temperature pyrolysis method of a caking middling coal, including the following steps: conveying the caking middling coal into a pyrolysis reactor through a top of the pyrolysis reactor; dividing a reaction chamber of the pyrolysis reactor into a drying section, a softening section, a melting and depolymerization section, a solidification section, and a cooling section by means of multi-channel gas distribution; and conducting zoned temperature control-based pyrolysis to obtain semi-coke at a bottom of the reactor as well as tar and coal gas at the top of the reactor. The pyrolysis method can well avoid caking and swelling of the caking middling coal during pyrolysis.

Abstract: Disclosed are a class of URAT1 inhibitor compounds and the use of such compounds. These compounds are compounds represented by the structure of formula (I) or pharmaceutically acceptable salts thereof. Experiments show that the compounds provided by the present invention have a very good inhibitory effect on hURAT1-transported uric acid in HEK293 transfected cells, and show that such compounds have a good potential for application in the treatment of hyperuricemia or gout.