Abstract: A heat dissipation system of an electronic device including a body, a plurality of heat sources disposed in the body, and at least one centrifugal heat dissipation fan disposed in the body is provided. The centrifugal heat dissipation fan includes a housing and an impeller disposed in the housing on an axis. The housing has at least one inlet on the axis and has a plurality of outlets in different radial directions, and the plurality of outlets respectively correspond to the plurality of heat sources.

Abstract: A method of performing automatic tuning on a deep learning model includes: utilizing an instruction-based learned cost model to estimate a first type of operational performance metrics based on a tuned configuration of layer fusion and tensor tiling; utilizing statistical data gathered during a compilation process of the deep learning model to determine a second type of operational performance metrics based on the tuned configuration of layer fusion and tensor tiling; performing an auto-tuning process to obtain a plurality of optimal configurations based on the first type of operational performance metrics and the second type of operational performance metrics; and configure the deep learning model according to one of the plurality of optimal configurations.

Abstract: A method for driving an electronic device includes the following steps: receiving a first image data, detecting a first frame rate corresponding to the first image data, generating at least one first scanning signal according to the first image data, receiving a second image data, detecting a second frame rate corresponding to the second image data, and generating at least one second scanning signal according to the second image data. The at least one first scanning signal has a first high voltage level value. The at least one second scanning signal has a second high voltage level value. When the first frame rate is different from the second frame rate, the first high voltage level value is different from the second high voltage level value.

Abstract: A semiconductor structure includes a functional die, a dummy die, a redistribution structure, a seal ring and an alignment mark. The dummy die is electrically isolated from the functional die. The redistribution structure is disposed over and electrically connected to the functional die. The seal ring is disposed over the dummy die. The alignment mark is between the seal ring and the redistribution structure, wherein the alignment mark is electrically isolated from the dummy die, the redistribution structure and the seal ring. The insulating layer encapsulates the functional die and the dummy die.

Abstract: A centrifugal heat dissipation fan including a housing and an impeller disposed in the housing on an axis is provided. The housing has at least one inlet on the axis and has a plurality of outlets in different radial directions. A heat dissipation system of an electronic device is also provided.

Abstract: The present disclosure provides a system and method for determining condition of wafers during processing of the wafers. The system and method include detecting vibrations of a wafer transfer robot, generating signals based upon the vibrations, and processing the signals for determining a condition of the wafers held by the wafer transfer robot.

Abstract: The present disclosure provides a system and method for determining condition of wafers during processing of the wafers. The system and method include detecting vibrations of a wafer transfer robot, generating signals based upon the vibrations, and processing the signals for determining a condition of the wafers held by the wafer transfer robot.

Abstract: A system configured to reduce false positives when performing human presence detection is provided. In addition to calculating a Human Detection (HD) confidence score during human presence detection, the system may use human keypoint detection (HKD) techniques to calculate a true positive (TP) confidence score and detect false positives based on a combination of the two confidence scores. For example, the device system may generate keypoint data, which indicates a location and maximum confidence value for individual keypoints associated with a human body. The system may input the keypoint data to a model configured to generate the TP confidence score, such as a logistic regression model that is configured to receive numerical values as inputs (e.g., HD confidence score and 17 keypoint confidence values) and generate the TP confidence score. The system then detects false positives using the TP confidence score and may remove corresponding bounding boxes.

Abstract: Semiconductor processing systems and methods are provided in which an amount or concentration of a chemical in a chemical mixture contained in a tank is automatically controlled based on a sensed properties of the chemical mixture. In some embodiments, a semiconductor processing system includes a processing tank that is configured to contain a chemical mixture. A chemical sensor is configured to sense one or more properties of the chemical mixture. The system further includes an electrically controllable valve that is configured to adjust an amount of the first chemical in the chemical mixture based on the sensed one or more properties of the chemical mixture.

Abstract: Semiconductor processing systems and methods are provided in which an amount or concentration of a chemical in a chemical mixture contained in a tank is automatically controlled based on a sensed properties of the chemical mixture. In some embodiments, a semiconductor processing system includes a processing tank that is configured to contain a chemical mixture. A chemical sensor is configured to sense one or more properties of the chemical mixture. The system further includes an electrically controllable valve that is configured to adjust an amount of the first chemical in the chemical mixture based on the sensed one or more properties of the chemical mixture.

Abstract: Semiconductor processing systems and methods are provided in which an amount or concentration of a chemical in a chemical mixture contained in a tank is automatically controlled based on a sensed properties of the chemical mixture. In some embodiments, a semiconductor processing system includes a processing tank that is configured to contain a chemical mixture. A chemical sensor is configured to sense one or more properties of the chemical mixture. The system further includes an electrically controllable valve that is configured to adjust an amount of the first chemical in the chemical mixture based on the sensed one or more properties of the chemical mixture.

Abstract: A device capable of autonomous motion may process image data determined by one or more cameras to determine one or more properties of objects represented in the image data. The device may determine that two or more computer vision components correspond to a particular property. A first computer vision component may process the image data to determine first output data, and the second computer vision component may process the first output data to determine second output data corresponding to the property.

Abstract: An autonomous mobile device (AMD) or other device may perform various tasks during operation. The AMD includes a camera to acquire an image. Some tasks, such as presenting information on a display screen or a video call, may involve the AMD determining whether a user is engaged with the AMD. The AMD may move a component, such as the camera or the display screen, to provide a best experience for an engaged user. Images from the camera are processed to determine attributes of the user, such as yaw of the face of the user, pitch of the face of the user, distance from the camera, and so forth. Based on the values of these attributes, a user engagement score is determined. The score may be used to select a particular user from many users in the image, or to otherwise facilitate operation of the AMD.

Abstract: Devices, systems and methods are disclosed for improving facial recognition and/or speaker recognition models by using results obtained from one model to assist in generating results from the other model. For example, a device may perform facial recognition for image data to identify users and may use the results of the facial recognition to assist in speaker recognition for corresponding audio data. Alternatively or additionally, the device may perform speaker recognition for audio data to identify users and may use the results of the speaker recognition to assist in facial recognition for corresponding image data. As a result, the device may identify users in video data that are not included in the facial recognition model and may identify users in audio data that are not included in the speaker recognition model. The facial recognition and/or speaker recognition models may be updated during run-time and/or offline using post-processed data.

Abstract: Semiconductor processing systems and methods are provided in which an amount or concentration of a chemical in a chemical mixture contained in a tank is automatically controlled based on a sensed properties of the chemical mixture. In some embodiments, a semiconductor processing system includes a processing tank that is configured to contain a chemical mixture. A chemical sensor is configured to sense one or more properties of the chemical mixture. The system further includes an electrically controllable valve that is configured to adjust an amount of the first chemical in the chemical mixture based on the sensed one or more properties of the chemical mixture.

Abstract: The present disclosure provides a system and method for determining condition of wafers during processing of the wafers. The system and method include detecting vibrations of a wafer transfer robot, generating signals based upon the vibrations, and processing the signals for determining a condition of the wafers held by the wafer transfer robot.

Abstract: A video capture device may include multiple cameras that simultaneously capture video data. The video capture device and/or one or more remote computing resources may stitch the video data captured by the multiple cameras to generate stitched video data that corresponds to 360° video. The remote computing resources may apply one or more algorithms to the stitched video data to identify one or more frames that depict content that is likely to be of interest to a user. The video capture device and/or the remote computing resources may generate one or more images from the one or more frames, and may send the one or more images to the user.

Abstract: Devices, systems and methods are disclosed for improving facial recognition and/or speaker recognition models by using results obtained from one model to assist in generating results from the other model. For example, a device may perform facial recognition for image data to identify users and may use the results of the facial recognition to assist in speaker recognition for corresponding audio data. Alternatively or additionally, the device may perform speaker recognition for audio data to identify users and may use the results of the speaker recognition to assist in facial recognition for corresponding image data. As a result, the device may identify users in video data that are not included in the facial recognition model and may identify users in audio data that are not included in the speaker recognition model. The facial recognition and/or speaker recognition models may be updated during run-time and/or offline using post-processed data.

Abstract: A viewing device, such as a virtual reality headset, allows a user to view a panoramic scene captured by one or more video capture devices that may include multiple cameras that simultaneously capture 360° video data. The viewing device may display the panoramic scene in real time and change the display in response to moving the viewing device and/or changing perspectives by switching to video data being captured by a different video capture device within the environment. Moreover, multiple video capture devices located within an environment can be used to create a three-dimensional representation of the environment that allows a user to explore the three-dimensional space while viewing the environment in real time.

Abstract: Devices, systems and methods are disclosed for improving facial recognition and/or speaker recognition models by using results obtained from one model to assist in generating results from the other model. For example, a device may perform facial recognition for image data to identify users and may use the results of the facial recognition to assist in speaker recognition for corresponding audio data. Alternatively or additionally, the device may perform speaker recognition for audio data to identify users and may use the results of the speaker recognition to assist in facial recognition for corresponding image data. As a result, the device may identify users in video data that are not included in the facial recognition model and may identify users in audio data that are not included in the speaker recognition model. The facial recognition and/or speaker recognition models may be updated during run-time and/or offline using post-processed data.