Abstract: A method, an apparatus, and an electronic device for providing product object information are disclosed. The method includes: providing an interactive content in a process of playing a live video content associated with a product object, the interactive content being generated according to a material associated with the product object, and the material being used to describe attributes of the product object; and providing a change process of the interactive content according to the material in a process of responding to interactive operation information inputted by a user, to enable a presentation of multiple attributes of the product object. Through the embodiments of the present disclosure, the product object information can be provided to consumers in a more comprehensive and intuitive manner, so as to help the users to make better shopping decisions.

Abstract: A control circuit for a multi-phase power conversion circuit and a multi-phase power supply are provided. The conversion circuit includes a plurality of switching circuits which have output terminals being coupled together to supply power to a load. The control circuit includes an error amplifier, a pulse width modulation circuit, and a multi-phase logic control circuit. The multi-phase logic control circuit generates a plurality of PWM signals according to an on time signal, which are delayed phase by phase and control on and off states of the plurality of switching circuits, and each of which has a pulse width being consistent with the on time signal. This reduces the circuit size and cost of the multi-phase power supply controller, and solves the problem of phase-to-phase current oscillation in a case that the switching circuits operate under duty ratios independent for various phases.

Abstract: A plurality of similar video pairs may be determined based on one or more similarity information types. Each video pair of the plurality of similar video pairs may include a first respective video and a second respective video. For each video pair, one or more similar scene pairs may be determined. Each of the one or more similar scene pairs may include a respective first scene from the first respective video and a second respective scene from the second respective video. An encoder may be trained using a contrastive learning model that contrasts a plurality of similar scene pairs with a plurality of random scenes. The plurality of similar scene pairs may include the one or more scene pairs for each video pair. One or more scene features of one or more other scenes of one or more other videos may be determined using the encoder.

Abstract: A system can be utilized to retrieve media content and rating schemas, to determine maturity ratings for media content. The media content can be utilized to determine segments of data as building blocks associated with mature content. The building blocks can be mapped to content descriptors and rating levels associated with the rating schemas. The building blocks can be compared the media content to identify portions of the media content that have characteristics represented by the building blocks. The building blocks representing the characteristics in the portions of the media content can be utilized to select content descriptors and rating levels associated with the media content. The selected content descriptor and selected rating levels can be utilized to control how, and/or whether, the media content is made available for output to the consumers.

Abstract: A resonance conversion device and a universal serial bus circuit are provided. The resonance conversion device includes an input filter circuit, a full-bridge LLC converter circuit, a transformer circuit, a rectifier filter circuit, and a controller. The controller is configured to determine whether an indication voltage of a voltage command is less than or equal to a threshold value and to perform the following steps: in response to the indication voltage being less than or equal to the threshold value, controlling the full-bridge LLC converter circuit into a half-bridge operation mode, and regulating the DC output voltage by performing half-bridge burst mode control on the full-bridge LLC converter circuit based on the DC output voltage; and in response to the indication voltage being greater than the threshold value, regulating the DC output voltage by performing full-bridge burst mode control on the full-bridge LLC converter circuit based on the DC output voltage.

Abstract: Techniques for temporal localization of mature content in long-form videos using only video-level labels are described.

Abstract: Devices, systems, and methods are provided for context-based abusive language detection and responses. A method may include identifying text associated with first video content, and determining that a first word in the text matches a first keyword indicative of abusive language. The method may include determining a first label associated with the first word, the first label indicating that the first word is ambiguous. The method may include identifying a first sentence of the text, the first sentence including the first word. The method may include determining first and second context of the first word and the first sentence. The method may include determining, based on the first and second context, using a machine learning model, a second label associated with the first sentence, the second label indicating a probability that the first sentence includes abusive language. The method may include generating second video content for presentation.

Abstract: Methods, systems, and computer-readable media for media classification using local and global audio features are disclosed. A media classification system determines local features of an audio input using an audio event detector model that is trained to detect a plurality of audio event classes descriptive of objectionable content. The local features are extracted using maximum values of audio event scores for individual audio event classes. The media classification system determines one or more global features of the audio input using the audio event detector model. The global feature(s) are extracted using averaging of clip-level descriptors of a plurality of clips of the audio input. The media classification system determines a content-based rating for media comprising the audio input based (at least in part) on the local features of the audio input and based (at least in part) on the global feature(s) of the audio input.

Abstract: Methods and apparatus are relating to the use of machine learning techniques to identify unrated content that will be appealing to particular demographics. Using explicit feedback (e.g., star ratings) and implicit feedback (e.g., viewing behavior) for a given demographic, feature sets are extracted from the rated titles and then used to recognize similar titles in unrated content.

Abstract: Methods and apparatus are described that relate to the use of machine learning techniques to accurately predict ratings for various types of content across multiple mature themes.

Abstract: Techniques for providing video content are described, where portions of the video content may be determined based an artificial intelligence model. In an example, a computer system may input, to a neural network, a vector representation of a frame. The neural network may be configured based on an error of associating the frame with an incorrect category. The error may be based on timing of the frame and on an error time margin relative to a start time or an end time of the incorrect category. The computer system may receive back an association between the vector representation and a category and may generate, based on the association, an identifier of a portion of the video content. The identifier may associate the portion of the video content with the category and identify a start time or an end time of the portion of the video content.

Abstract: An image quality assessment solution analyzes an image quality and a correlation of an image to an item description associated with the item. The content quality assessment may assign a quality score to the image based on a composition of the image and/or correlation with the image description. The score may be based on a model that is trained to analyze images using a learning model. Based on the image score, a correlation score, or other scores, the user may be given feedback on how to improve an image. A service provider providing this service may use the score to influence recommendation results that use the images.

Abstract: This invention discloses a super-resolution microscopy method and device, of which the method comprises the following steps: converting laser beam into linearly polarized light after collimation; linearly polarized light is deflected and phase modulated by a spatial light modulator; the deflected beam is focused, collimated and then converted into circularly polarized light for projection on the sample to collect signal light from various scanning points on the sample, and obtaining the first signal light intensity; switching over modulation function to project linearly polarized light modulated by the second phase modulation on the sample to collect signal light from various scanning points on the sample, and obtaining the second signal light intensity; calculating valid signal light intensity to obtain the super-resolution image.

Abstract: This invention discloses a super-resolution microscopy method and device, of which the method comprises the following steps: converting laser beam into linearly polarized light after collimation; linearly polarized light is deflected and phase modulated by a spatial light modulator; the deflected beam is focused, collimated and then converted into circularly polarized light for projection on the sample to collect signal light from various scanning points on the sample, and obtaining the first signal light intensity; switching over modulation function to project linearly polarized light modulated by the second phase modulation on the sample to collect signal light from various scanning points on the sample, and obtaining the second signal light intensity; calculating valid signal light intensity to obtain the super-resolution image.

Abstract: The present invention constructs a compound type combined public key system on the basis of a combined public key CPK system. The combined key is combined by an identity key and a randomly defined key. The randomly defined key can be defined by a center, called a system key; and can be self-defined, called updating key. Combination of the identity key and the system key generates a first-order combined key. The first-order combined key is then combined with the updating key to generate a second-order combined key. The first-order combined key can be used for centralized digital signature and key exchange. The second-order combined key can be used for distributed digital signature, to provide individual with convenient key exchange and absolute privacy. A combining matrix, as a trust root, provides proof of integrity of identity and key, with no need of third party proof.

Abstract: Disclosed are compositions and methods related to PAS Kinase (PASK) and various diseases and disorders associated therewith. Included are methods for treating insulin resistance, cancer, and diabetes comprising administering a composition that inhibits PAS Kinase. Further included are methods, including high throughput screening methods, for identifying test compounds that modulate PAS Kinase.