Abstract: Provided method for training an autonomous driving model including a video prediction model, and the method including: determining, according to at least one of an initial video frame collected by a target vehicle or scenario description metadata of an initial video frame, a scenario context of the initial video frame; determining a vehicle movement instruction of the target vehicle according to at least one of the initial video frame or trajectory data of the target vehicle corresponding to the initial video frame; and training an initial model using the initial video frame and a control text corresponding to the initial video frame, to obtain the video prediction model, where the control text comprises the scenario context and the vehicle movement instruction, and the video prediction model is configured to output a predicted video frame.

Abstract: The present application provides a method and a unified framework system for full-stack autonomous driving planning. The method comprises: acquiring an image of a scene and converting the image into an image feature, and converting the image feature into a bird's-eye view feature map; detecting agents from the bird's-eye view feature map through track query vectors, and continuously tracking the agents; segmenting different types of map elements from the bird's-eye view feature map through map query vectors, and continuously updating the map elements; predicting a future trajectory of each agent using an interaction between the agents and the different map elements; predicting, according to the predicted future trajectory of each agent, an occupancy grid map over multi-steps into the future; and decoding an ego-vehicle query vector to generate a planned path of an ego-vehicle, and optimizing the planned path using the predicted future multi-step occupancy grid map.

Abstract: An oral care composition is provided and includes a natural flavor extract, a sulfur source such as dimethyl disulfide, a stannous ion source, and a soluble metal ion source that prevents the formation of methyl mercaptan. The natural flavor extract may contain dimethyl disulfide as an impurity. The soluble metal ion source may include a metal salt, a metal oxide, or a combination thereof, and the soluble metal ion source may include a copper ion source, a silver ion source, a zinc ion source, or combinations thereof.

Abstract: An oral care composition is provided and includes hops acid, a tin ion source, a sulfur source, and a soluble metal salt that prevents the formation of methyl mercaptan. The soluble metal salt may include a copper salt, a silver salt, a zinc salt, or combinations thereof. The hops acid may be from a hops extract. The sulfur source may be an impurity, and the soluble metal salt may prevent the formation of unacceptable off-notes, which may be produced in the composition under reducing conditions.

Abstract: This application provides a battery cell assembly, a battery, and an electronic device. The battery cell assembly includes a battery cell and a first tab glue. The battery cell includes a battery cell body and a tab. The tab extends relative to the battery cell body. The tab includes a fixed tab portion and a bent tab portion. The fixed tab portion is fastened to the battery cell body, and the bent tab portion is fastened to an end that is of the fixed tab portion and that is away from the battery cell body. The first tab glue is provided on an inner side surface of the fixed tab portion, and an inner side surface of the bent tab portion is exposed relative to the first tab glue.

Abstract: The embodiments of the present application discloses an image processing method, an image processing apparatus, an image processing device and a computer-readable storage medium. The method comprises: obtaining a plurality of view images captured by a plurality of acquisition apparatuses at different views on a vehicle and an aerial view feature at a previous moment of a current moment; extracting temporal information from the aerial view feature at the previous moment according to a preset aerial view query vector, extracting spatial information from a plurality of view image features corresponding to the plurality of view images, and combining the temporal information and the spatial information to generate an aerial view feature at the current moment, wherein the preset aerial view query vector corresponds to a three-dimensional physical world which is a preset range away from the vehicle in a real scene at the current moment.

Abstract: Embodiments of the present invention disclose a binocular image matching method, apparatus, device, and storage medium. The method comprises: performing target detection on a first image to obtain a first bounding box of a target in the first image; determining a second bounding box corresponding to the first bounding box in a second image; and obtaining a third bounding box of the target in the second image by regressing the second bounding box. The technical solutions realize accurate matching of targets in a binocular image without requiring performing target detection on both images in the binocular image, and then use a matching algorithm to match the targets detected in the two images, thereby greatly reducing the calculation overhead of target matching in the binocular image.

Abstract: A process for the production of a mixed metal hydroxide material for use as a cathode active material precursor is described, wherein the process utilizes cavitation to produce high quality materials through elimination of some processing steps and ingredients. In particular, a method of producing a mixed metal hydroxide material combining a first metal, a second metal, an oxidant and a liquid to form a reaction slurry is disclosed. The method may include applying cavitation to the liquid prior to the formation of the reaction slurry and/or applying cavitation to the liquid when the liquid is part of the reaction slurry. A method of forming an active material and a mixed metal hydroxide material for use as an active material precursor is also disclosed.

Abstract: Provided method for training an autonomous driving model including a video prediction model, and the method including: determining, according to at least one of an initial video frame collected by a target vehicle or scenario description metadata of an initial video frame, a scenario context of the initial video frame; determining a vehicle movement instruction of the target vehicle according to at least one of the initial video frame or trajectory data of the target vehicle corresponding to the initial video frame; and training an initial model using the initial video frame and a control text corresponding to the initial video frame, to obtain the video prediction model, where the control text comprises the scenario context and the vehicle movement instruction, and the video prediction model is configured to output a predicted video frame.

Abstract: A method, computer system, and a computer program product for personalized disease progression modeling is provided. The present invention may include receiving patient data, wherein the patient data is comprised of at least genetic data and clinical observations. The present invention may include building a personalized disease progression framework using one or more patient groupings and one or more disease progression pathways. The present invention may include determining a disease stage and progression pattern for each of the one or more patient groupings using a personalizes disease progression model.

Abstract: Provided method for training an autonomous driving model including a video prediction model, and the method including: determining, according to at least one of an initial video frame collected by a target vehicle or scenario description metadata of an initial video frame, a scenario context of the initial video frame; determining a vehicle movement instruction of the target vehicle according to at least one of the initial video frame or trajectory data of the target vehicle corresponding to the initial video frame; and training an initial model using the initial video frame and a control text corresponding to the initial video frame, to obtain the video prediction model, where the control text comprises the scenario context and the vehicle movement instruction, and the video prediction model is configured to output a predicted video frame.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising memory configured to store convolutional artificial neural network information comprising at least one filter definition, and at least one processing core configured to generate, from a preceding layer, a convolutional result of a succeeding layer of the artificial neural network in accordance with the at least one filter definition, and generate, from the convolutional result, an activation result of the succeeding layer by using an activation function, the activation function taking three arguments, the three arguments being derived from the convolutional result.

Abstract: The present application provides a method and a unified framework system for full-stack autonomous driving planning. The method comprises: acquiring an image of a scene and converting the image into an image feature, and converting the image feature into a bird's-eye view feature map; detecting agents from the bird's-eye view feature map through track query vectors, and continuously tracking the agents; segmenting different types of map elements from the bird's-eye view feature map through map query vectors, and continuously updating the map elements; predicting a future trajectory of each agent using an interaction between the agents and the different map elements; predicting, according to the predicted future trajectory of each agent, an occupancy grid map over multi-steps into the future; and decoding an ego-vehicle query vector to generate a planned path of an ego-vehicle, and optimizing the planned path using the predicted future multi-step occupancy grid map.

Abstract: An information synchronization method, a terminal and a system, which relates to the technical field of communication. The method includes: by the first terminal, sending a controlling request of a target terminal to the controlling server; by the first terminal, receiving a state feedback information sent by the first terminal, according to the state feedback information, updating an information of the first terminal; and by the first terminal, sending the state feedback information to each of the at least one second terminal, so that the second terminal updates an information of the second terminal according to the state feedback information.

Abstract: The embodiments of the present application discloses an image processing method, an image processing apparatus, an image processing device and a computer-readable storage medium.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising memory configured to store convolutional artificial neural network information comprising at least one filter definition, and at least one processing core configured to generate, from a preceding layer, a convolutional result of a succeeding layer of the artificial neural network in accordance with the at least one filter definition, and generate, from the convolutional result, an activation result of the succeeding layer by using an activation function, the activation function taking three arguments, the three arguments being derived from the convolutional result.

Abstract: Disclosed is a slag discharging method in a process of producing ultra-low phosphorus steel, which relates to the technical field of iron and steel smelting, and in which molten steel is mixed with lime first to produce basic slag; then converting is performed with oxygen to increase the oxidizability of the basic slag; and a carbon-containing reducing agent is finally added, so that in the process that the carbon is oxidized to release a large amount of carbon monoxide gas, phosphates are captured, and the basic slag is rapidly foamed and overflows from the opening of the steel ladle, so that conditions are no longer available for rephosphorization. Also disclosed is a method for producing ultra-low phosphorus steel, which includes the above-described slag discharging method in a process of producing ultra-low phosphorus steel, and refining and ingotting after slag discharge.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising memory configured to store convolutional artificial neural network information comprising at least one filter definition, and at least one processing core configured to generate, from a preceding layer, a convolutional result of a succeeding layer of the artificial neural network in accordance with the at least one filter definition, and generate, from the convolutional result, an activation result of the succeeding layer by using an activation function, the activation function taking three arguments, the three arguments being derived from the convolutional result.

Abstract: Methods and apparatus, including computer program products, are provided for machine learning including deep convolutional neural networks. In some example embodiments, there may be provided a method that includes receiving, at a trained machine learning model, a portion of a test image; activating, at the machine learning model, a convolutional result formed based on the portion of the test image, the activation based on neighboring regions in the test image; and providing, by the machine learning model, an activated output. Related systems, methods, and articles of manufacture are also described.

Abstract: Embodiments of the present invention disclose a binocular image matching method, apparatus, device, and storage medium. The method comprises: performing target detection on a first image to obtain a first bounding box of a target in the first image; determining a second bounding box corresponding to the first bounding box in a second image; and obtaining a third bounding box of the target in the second image by regressing the second bounding box. The technical solutions realize accurate matching of targets in a binocular image without requiring performing target detection on both images in the binocular image, and then use a matching algorithm to match the targets detected in the two images, thereby greatly reducing the calculation overhead of target matching in the binocular image.