Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.

Abstract: A three-layer intelligence system architecture and an exploration robot are provided.

Abstract: A computerized method trains and uses a multimodal fusion transformer (MFT) model for content moderation. Language modality data and vision modality data associated with a multimodal media source is received. Language embeddings are generated from the language modality data and vision embeddings are generated from the vision modality data. Both kinds of embeddings are generated using operations and/or processes that are specific to the associated modalities. The language embeddings and vision embeddings are combined into combined embeddings and the MFT model is used with those combined embeddings to generate a language semantic output token, a vision semantic output token, and a combined semantic output token. Contrastive loss data is generated using the three semantic output tokens and the MFT model is adjusted using that contrastive loss data. After the MFT model is trained sufficiently, it is configured to perform content moderation operations using semantic output tokens.

Abstract: A structure for connecting an aluminum cable and a terminal includes an aluminum cable and a terminal. The aluminum cable includes a cable core. The cable core is constructed with a cable welding portion. The terminal is welded to the cable welding portion. A nominal cross-sectional area of the cable core is M, and a welding area S between the cable welding portion and the terminal meets 5*M?S?6*M.

Abstract: This application discloses a method and device for determining a malicious file. The method includes: whether a plurality of received file blocks meet a preset condition is judged. Herein, the plurality of file blocks are file blocks of a file to be detected, and the preset condition at least includes: a size condition of each of the plurality of file blocks and a sorting condition of each of the plurality of file blocks. When the plurality of file blocks do not meet the preset condition, a Hash eigenvalue of at least one header file block is calculated, wherein the at least one header file block is at least one file block cached in a device cache area according to the order of the file blocks. The plurality of file blocks are divided into subfiles with a preset quantity, and the Hash eigenvalue unrelated to the order of each subfile is calculated.

Abstract: A method for simulating a solid body animation of a subject includes retrieving a first frame that includes a body image of a subject. The method also includes selecting, from the first frame, multiple key points within the body image of the subject that define a hull of a body part and multiple joint points that define a joint between two body parts, identifying a geometry, a speed, and a mass of the body part to include in a dynamic model of the subject, based on the key points and the joint points, determining, based on the dynamic model of the subject, a pose of the subject in a second frame after the first frame in a video stream, and providing the video stream to an immersive reality application running on a client device.

Abstract: An electrochemical device includes a positive electrode plate and an electrolyte, where the positive electrode plate includes a positive electrode material layer, the positive electrode material layer includes a positive electrode active material, and the positive electrode active material contains element Mn and element X, where element X includes at least one of element Co or element Al, and a molar ratio of element X to element Mn is A %, A ranging from 0.1 to 10; and the electrolyte includes a boron-containing lithium salt. Under a synergistic effect of the positive electrode active material and the electrolyte, rate performance and cycling performance of the electrochemical device can be improved.

Abstract: A polypeptide, a composition containing the polypeptide, and a use thereof in preparing a drug for preventing and/or treating neuroblastoma.

Abstract: A flow distribution control method for a hydraulic system, the hydraulic system comprising N loops L1-LN. The flow distribution control method comprises the following steps: S1: comparing pressures P1-PN at an inlet of an actuator in each loop of the hydraulic system; S2: according to the comparison result, determining a loop Lp1 which requires flow compensation; and S3: conducting flow compensation on the loop Lp1 according to the theoretical flow of the loop Lp1 and an actual flow in the loop Lp1 which flows into the actuator, wherein the number of loops in the loop Lp1 is less than or equal to N. Also disclosed are a flow distribution control device and a flow distribution control apparatus for the hydraulic system, the hydraulic system and a non-transitory computer-readable medium.

Abstract: Systems and methods are disclosed that improve performance of synthesized motion generated by a diffusion neural network model. A physics-guided motion diffusion model incorporates physical constraints into the diffusion process to model the complex dynamics induced by forces and contact. Specifically, a physics-based motion projection module uses motion imitation in a physics simulator to project the denoised motion of a diffusion step to a physically plausible motion. The projected motion is further used in the next diffusion iteration to guide the denoising diffusion process. The use of physical constraints in the physics-guided motion diffusion model iteratively pulls the motion toward a physically-plausible space, reducing artifacts such as floating, foot sliding, and ground penetration.

Abstract: In various examples, systems and methods are disclosed relating to generating a simulated environment and update a machine learning model to move each of a plurality of human characters having a plurality of body shapes, to follow a corresponding trajectory within the simulated environment as conditioned on a respective body shape. The simulated human characters can have diverse characteristics (such as gender, body proportions, body shape, and so on) as observed in real-life crowds. A machine learning model can determine an action for a human character in a simulated environment, based at least on a humanoid state, a body shape, and task-related features. The task-related features can include an environmental feature and a trajectory.

Abstract: In various examples, systems and methods are disclosed relating to generating physics-plausible whole body motion, including determining a mesh sequence corresponding to a motion of at least one dynamic character of one or more dynamic characters and a mesh of a terrain using a video sequence, determining using a generative model and based at least one the mesh sequence and the mesh of the terrain, an occlusion-free motion of the at least one dynamic character by infilling physics-plausible character motions in the mesh sequence for at least one frame of the video sequence that includes an occlusion of at least a portion of the at least one dynamic character, and determining physics-plausible whole body motion of the at least one dynamic character by applying physics-based imitation upon the occlusion-free motion.

Abstract: A flue gas purification system for hazardous waste incineration and a purification method are provided. The flue gas purification system includes a cooling deacidification coupling device. The cooling deacidification coupling device includes a reaction tower. A top of the reaction tower is installed with a spraying device, an inlet end of the spraying device is connected to a first liquid inlet pipe and a second liquid inlet pipe, the first liquid inlet pipe and the second liquid inlet pipe are configured to transmit a cooling substance and a deacidification substance. The reaction tower is connected to a gas inlet pipe and a gas outlet pipe. A bottom of the reaction tower is connected to an output pipe configured to output substances generated in the reaction tower. The spraying device is configured to mix the cooling substance and the deacidification substance with the flue gas.

Abstract: In various examples, artificial intelligence (AI) agents can be generated to synthesize more natural motion by simulated actors in various visualizations (such as video games or simulations). AI agents may employ one or more machine learning models and techniques, such as reinforcement learning, to enable synthesis of motion with enhanced realism. The AI agent can be trained based on widely-available broadcast video data, without the need for more costly and limited motion capture data. To account for the lower quality of such video data, various techniques can be employed, such as taking into account the motion of joints, and applying physics-based constraints on the actors, resulting in higher quality, more lifelike motion.

Abstract: Systems and method directed to generating a stylized image are disclosed. In particular, the method includes, in a first data path, (a) applying first stylization to an input image and (b) applying enlargement to the stylized image from (a). The method also includes, in a second data path, (c) applying segmentation to the input image to identify a face region of the input image and generate a mask image, and (d) applying second stylization to an entirety of the input image and inpainting to the identified face region of the stylized image. Machine-assisted blending is performed based on (1) the stylized image after the enlargement from the first data path, (2) the inpainted image from the second data path, and (3) the mask image, in order to obtain a final stylized image.

Abstract: The present invention provides a novel oocyte maturation medium or/and embryo culture medium with a chemically defined supplement to produce matured oocytes at high efficiency. The inventive medium or supplement comprises three growth factors, namely, fibroblast growth factor 2 (FGF2), leukemia inhibitory factor (LIF), and insulin-like growth factor 1 (IGF-1) in a synergistic combination. Methods for oocyte and embryo culture are also provided.

Abstract: Estimating motion of a human or other object in video is a common computer task with applications in robotics, sports, mixed reality, etc. However, motion estimation becomes difficult when the camera capturing the video is moving, because the observed object and camera motions are entangled. The present disclosure provides for joint estimation of the motion of a camera and the motion of articulated objects captured in video by the camera.