VIA TECHNOLOGIES, INC.

An object recognition device and an object recognition method are provided. The object recognition device includes an image sensor, a motorized pan-tilt mechanism, at least one marker, and a computing host. The image sensor senses an imaging region to generate an image data. The motorized pan-tilt mechanism rotates the image sensor to adjust the imaging region. The at least one marker is fixed to the motorized pan-tilt mechanism. The computing host determines whether the at least one corresponding marker appears in a specific region on a frame corresponding to the image data. In response to the corresponding marker not appearing in the specific region, the computing host suspends an object recognition on the frame corresponding to the image data. In response to the corresponding marker appearing in the specific region, the computing host starts to perform the object recognition on the frame corresponding to the image data.

A circuit substrate is provided. The circuit substrate includes a core substrate, first dielectric layers, second dielectric layers, and a first conductive line. The first dielectric layer is disposed on the core substrate. The first and second dielectric layers are formed of different materials and have different thicknesses. The first conductive line is disposed in the first and second dielectric layers. The first conductive line includes first and second line segments, first conductive vias stacked on each other, and second conductive vias stacked on each other. The first line segment is disposed between the first dielectric layers. The second line segment is disposed between the second dielectric layers. The first conductive vias penetrate the first dielectric layers and connect the first line segment. The second conductive vias penetrate the second dielectric layers and connect the first conductive vias and the second line segment.

A system and method for adjusting input data of a decision-making neural network is provided, wherein the system includes a data-dividing neural network apparatus and a data processing apparatus. The data-dividing neural network apparatus receives an input data and divides the input data into a plurality of sub data including a first sub data and a second sub data. The data processing apparatus is coupled to the data-dividing neural network apparatus to receive the sub data, and process the first sub data and the second sub data by different ways when the sub data is processed, so that the first sub data and the second sub data are differently adjusted. The decision-making neural network is electrically coupled to the data processing apparatus to take the processed sub data as input data. As a result, the neural network can change the final output results.

An electrostatic discharge protection device is provided. The electrostatic discharge protection device includes first and second N-type deep well (DNW) regions in a P-type semiconductor substrate, first to fourth N-type and P-type doped regions, and first and second P-type well (PW) regions. The first N-type and P-type doped regions and the first PW region are located in the first DNW region. The second N-type and P-type doped regions and the second PW region are located in the second DNW region. The third and fourth N-type and P-type doped regions are located in the first and second PW regions. The first P-type and fourth N-type doped regions are connected to an input/output terminal. The first N-type and second P-type doped regions are connected to a power supply terminal. The third N-type and the fourth P-type doped regions are connected to a ground terminal.

A charging and discharging system and a charging and discharging method are provided. The charging and discharging system includes a battery module detection circuit, a charging and discharging controller, and a microcontroller. The battery module detection circuit receives a detection signal of a battery module and generates a battery type determination signal and a deep discharge detection signal based on the detection signal. The microcontroller controls the charge and discharge controller to perform a charging operation or a discharging operation on the battery module. When the microcontroller determines that the battery module is a first battery type based on the battery type determination signal, the microcontroller controls the charge and discharge controller to perform a deep discharge protection function based on the deep discharge detection signal. When the microcontroller determines that the battery module is a second battery type based on the battery type determination signal, the microcontroller controls the charge and discharge controller to stop the deep discharge protection function.

An electronic device includes a device body and a mounting accessory. The mounting accessory includes a first lateral bracket and a second lateral bracket. When the first lateral bracket and the second lateral bracket are mounted on the device body in a first mounting configuration, the first lateral bracket and the second lateral bracket provide a set of locking points. When the first lateral bracket and the second lateral bracket are mounted on the device body in a second mounting configuration, the first lateral bracket and the second lateral bracket provide another set of locking points.

An electrostatic discharge protection device is provided. The electrostatic discharge protection device includes first and second N-type and P-type and third P-type doped regions in the first and second N-type well regions in a P-type semiconductor substrate. First and second P-type well regions are in the first N-type well region. Third N-type, fourth P-type and N-type and fifth P-type doped regions are in the first and second P-type well regions. Fifth N-type and sixth P-type doped regions are in the third P-type well region in the second N-type well region. The first and second N-type doped regions are directly electrically connected to the fifth and sixth P-type doped regions, respectively. The first P-type and fifth N-type, the second P-type and third N-type, and the third P-type doped region and the fourth N-type and P-type doped regions are electrically connected to input/output, power supply and ground terminals.

Goodness of pronunciation (GOP) evaluation techniques with improved reliability are presented. A data preprocessing server operates a data pre-processing system and a GOP evaluation system. The data pre-processing system includes a phonetic symbol generation system and an audio recording preprocessing system. Based on a practice text as well as an audio recording of the user reading the practice text, the phonetic symbol generation system generates phonetic symbols, and the audio recording preprocessing system generates audio data. The GOP evaluation system scores the audio recording based on the phonetic symbols and the audio data. The phonetic symbol generation system operates an artificial intelligence model, which generates the phonetic symbols in response to the fact that the practice text includes polyphonic words. Polyphonic words are words with several pronunciations due to their parts of speech, or special words which are numbers or place names.

An image analysis method is provided. The method includes inputting an original image into a parameter extraction model having been pre-trained to obtain multiple parameter arrays corresponding to the original image, which are output by the parameter extraction model. The method further includes using the parameter arrays to perform a sequence of image enhancement operations on the original image to obtain an enhanced image. The method further includes inputting the enhanced image into an image analysis model having been pre-trained to obtain an inference result output by the image analysis model.

A circuit board has a surface and a contact arrangement on the surface. The contact arrangement includes contacts. The contacts are staggered. The contacts include multiple first ground contacts, multiple first signal contacts and multiple second signal contacts. The ground contacts are arranged along a first straight line. The first signal contacts are arranged on one side of the first straight line, and the two adjacent first signal contacts are grouped into a first signal contact pair. The second signal contacts are arranged on the other side of the first straight line, and the two adjacent second signal contacts are grouped into a second signal contact pair, and the transmission direction of the first signal contact pair is different from the transmission direction of the second signal contact pair.