Abstract: Automated systems and methods of using an end-effector mounted on a robot arm to remove a tape from an object surface are provided. The end-effector includes a gripping mechanism and a force sensor, which is instructed by a controller to automatically detect the peeling state and adjust its peeling parameters to optimize the removal while the end-effector moves along the object surface to remove the tape.

Abstract: A computing system is provided for generating a label for an input image using process supervision. The computing system includes a processing circuitry and memory storing instructions that, when executed, cause the processing circuitry to receive the input image and an input text, generate a token sequence by integrating features from the input image and the input text, and incorporating a plurality of questions, including a final question, into the token sequence, process the token sequence using a transformer language model to generate a sequence of hidden representations, project a plurality of question hidden representations corresponding to the plurality of questions into a predicted answer space to generate a plurality of answers, project a final hidden representation of the final question into the predicted answer space to generate and output the label for the input image and the input text.

Abstract: The disclosed method of training a language model includes generating, based on corpus data, clustered data, performing, based on the clustered data, a plurality of bootstrapping operations to train a first predictor model and generate a mixture configuration, generating, based on the mixture configuration and the clustered data, mixture data, and performing, based on the mixture data, one or more training operations to train a first untrained language model to generate a first trained language model, where the first trained language model processes first input data to generate first output data.

Abstract: Embodiment of the disclosure provides a method and apparatus for virtual garment replacing based on a garment replacement model The method includes: obtaining first feature information comprising garment information of a first garment from a first image, and obtaining second feature information comprising body shape and pose information of an object to be garment-replaced from a second image corresponding to the first image; with the feature extraction module, determining a plurality of first feature maps based on the first feature information, and determining a plurality of second feature maps based on the second feature information; and with the deformation generative module, determining a target generative image based on the plurality of first feature maps, the plurality of second feature maps, an initial intermediate feature and a corresponding initial generative image.

Abstract: Embodiments of the present disclosure relate to vehicle mounting kits for installing a vehicle light without modifying the vehicle body. The mounting kit may include a front plate and one or more back members. The front plate may have a vehicle-specific profile, thereby, providing a vehicle-specific mounting solution for installers to effortlessly attach auxiliary vehicle lights, such as strobe lights, drive lights, signal lights, and work lights, without cutting or drilling into the vehicle body. Embodiments also provide a method of installing lights on a vehicle grille without grille removal, significantly cutting installation time and the risk of damaging factory parts.

Abstract: The present application discloses a voice dialogue processing method and apparatus. The voice dialogue processing method includes: determining a voice semantics corresponding to a user voice to be processed; determining a reply sentence for the voice semantics based on a dialogue management engine, a training sample set of which is constructed from a dialogue business customization file including at least one dialogue flow, and the dialogue flow includes a plurality of dialogue nodes in a set order; and generating a customer service voice for replying to the user voice according to the determined reply sentence.

Abstract: Described herein is an implementation of a classification of content collection using process supervision with a chain-of-thought reasoning capable machine-learned (ML) model. In an example aspect, a process supervision system includes processing circuitry and memory storing a content source of a ML model. The content source includes text-labeled content of a first type. The processing circuitry is configured to obtain a collection of multiple first-typed content items of the content source. The collection has text metadata associated therewith. The processing circuitry is further configured to produce supervised fine-tuning (SFT) queries regarding the collection based, at least in part, on one or more of the first-typed content items of the collection and/or the text metadata of the collection. The processing circuitry is still further configured to, based on the SFT queries, assemble a chain-of-thought reasoning request for submission to a chain-of-thought reasoning capable ML classifier.

Abstract: The hybrid-head architecture model can be used to train a language model (LM). It uses a combination of attention heads and state space models (SSMs) to improve the speed and efficiency of inferencing a received input sequence. This disclosure combines the high-resolution recall capabilities of attention heads with the efficient context summarization of SSM heads. The model can be separated into a set of layers, and the input sequence can be processed layer by layer. Each layer can have its own number of attention heads and SSM heads. Fine-tuning and optimization can be applied to each layer, as well as normalization and scaling. To further optimize the performance of the hybrid-head architecture model, learnable meta tokens can be used, which act as a learned cache for attention and SSM heads, enhancing the model's focus on salient information. The attention heads and the SSMs can be processed in parallel.

Abstract: This present disclosure provides a perovskite-silicon-based laminated solar cell and a manufacturing method therefor. In one aspect, a method for manufacturing a solar cell includes: providing a substrate, where the substrate includes a silicon-based bottom solar cell, a charge combination layer, and a first carrier transport layer sequentially laminated. The first carrier transport layer has a textured structure. The method further includes forming, on the first carrier transport layer, a perovskite light absorption layer. Forming the perovskite light absorption layer includes forming a first perovskite layer based on a solution method performed with a perovskite solution, and forming the second perovskite layer based on a perovskite skeleton vacuum evaporation method.

Abstract: A video classification system receives an input video comprising video frames and video audio, generates visual tokens based on the video frames, generates audio embeddings based on the video audio, and inputs the visual tokens into a multi-modal language model to generate contextually informed answers. The contextually informed answers and the audio embeddings are concatenated to generate concatenated tokens, which are inputted into a fully connected layer to generate a vector of class probabilities. Then a video label for the input video is generated and outputted based on the vector of class probabilities.

Abstract: Methods, systems, and media for partitioning neural networks are provided. In some embodiments, a method comprises obtaining a training set. The method comprises training a plurality of neural networks using the training set, wherein neural networks differ based on dimensions of one or more layers of the neural networks and a location of a compression block positioned between a first set of layers of a neural network and a second set of layers of the neural network. The method comprises selecting a neural network based on hardware constraints of a system on which the neural network is to be implemented, wherein the first set of layers of the selected neural network are executed by one or more sensor devices of the system, and wherein the second set of layers of the selected neural network are executed by an aggregator computing device of the system.

Abstract: A use of Apicidin combined with Bevacizumab in preparing a drug for treating cervical cancer is provided. Studies have shown that Apicidin increases the sensitivity of cervical cancer cells to the targeted drug Bevacizumab. The combined use of Apicidin and Bevacizumab can more effectively inhibit the growth of cervical cancer cells and enhance the ability to induce apoptosis of cervical cancer cells, showing a good synergistic effect. Therefore, the use prospects of Apicidin combined with the targeted drug Bevacizumab are huge, which provides a more effective and feasible solution for the clinical treatment of cervical cancer, and proposes a new theoretical basis for the combined treatment of clinical cervical cancer recurrence and drug resistance.

Abstract: Embodiments of the present disclosure relate to vehicle mounting kits for installing a vehicle light without modifying the vehicle body. The mounting kit may include a front plate and one or more back members. The front plate may have a vehicle-specific profile, thereby, providing a vehicle-specific mounting solution for installers to effortlessly attach auxiliary vehicle lights, such as strobe lights, drive lights, signal lights, and work lights, without cutting or drilling into the vehicle body. Embodiments also provide a method of installing lights on a vehicle grille without grille removal, significantly cutting installation time and the risk of damaging factory parts.

Abstract: Disclosed is an earphone, including an earbud structure and an earphone handle; the earphone handle is rotatably connected to the earbud structure to adjust a wearing posture of the earphone handle. The main objective of the present application is to provide an earphone that can adjust the wearing posture of the earphone handle, thereby improving the user's wearing comfort.

Abstract: A crawler robot has a proximal end section, a distal end section and a core section. Each of the proximal end section, the distal end section and core section has a hollow core. The core section has a flexible body and is surrounded by at least one balloon that is supplied by a fluid carrying conduit. The proximal end section and the distal end section are connected to fluid carrying conduits and have at least three thrust vents each for venting the supplied fluid to generate a thrust force.

Abstract: A crawler robot comprising a proximal end section, a distal end section and a central core section, through each section passes a central channel; the distal end section comprises a rigid core surrounding a deformable foot, the proximal end section comprises a rigid core surrounding a deformable foot, and the central core section comprises a deformable annular body surrounding an extension spring, surrounding the annular body is at least one balloon, and wherein fluid carrying conduits are connected to the balloon in the central core section, and to the deformable foot in the distal end section and the deformable foot in the proximal end section.

Abstract: System and method including an artificially intelligent assistant are described. An example method includes, in response to initiation of an artificially intelligent assistant at a head-wearable device, capturing contextual data. The contextual data includes one or more of image data, audio data, and/or sensor data. The method includes determining, based on the contextual data, a contextual cue, and providing a portion of the contextual data and a portion of the contextual cue to the artificially intelligent assistant. The method includes determining, by the artificially intelligent assistant, a user request based on the portion of the contextual data and the contextual cue, and receiving a response to the user request. The response is generated using a machine learning model. The method further includes causing the head-wearable device to present the response.

Abstract: The present invention provides a method for determining endometrial receptivity and an application thereof. Specifically, the present invention provides a method for determining endometrial receptivity and markers for determining an endometrial receptivity status. The markers of the present invention could greatly reduce the error rate during the determination of the endometrial receptivity.

Abstract: An isolated gate drive circuit and a driver, the isolated gate drive circuit includes signal restoration module, modulation module with first terminal and second terminal, high-pass filter module, and falling edge monitoring module; first pulse signal output from the first and second terminals are rail-to-rail differential pulse signals; When the isolated gate drive circuit restores the pulse width modulation signal, the isolated gate drive circuit monitors the first pulse signals output from the first and second terminals of the modulation module. When the pulse signal in the first pulse signal output from the first terminal or the second terminal of the modulation module is in a falling edge state, the falling edge monitoring module outputs a third pulse signal to the signal restoration module, the signal restoration module can quickly output the restored the pulse width modulation signal, improving the reliability of the isolated gate drive circuit.

Abstract: A sensing system for a continuum arm robot, the sensing system comprising at least one camera ring system mounted to the continuum robot, the camera ring system having at least two forward-facing cameras that face along the axis of the robot towards the tip.