Abstract: A system and a method for performing unified human motion prediction (HMP) are provided. In operation, the system provides a unified HMP module, which includes an encoder configured to encode a plurality of existing two-dimensional (2D) and three-dimensional (3D) pose sequences into a shared latent space V and a decoder configured to predict a plurality of predicted future 2D and 3D pose sequences based on the encoded shared latent space V, thus forming four pathways of knowledge flow. The system then trains the unified HMP module and the shared latent space V in a weakly supervised manner with input features Xwith actual future 2D and 3D pose sequences by 10 minimizing a loss between the predicted future 2D and 3D pose sequences and the actual future 3 D and 3D pose sequences. Once the training is complete, the unified HMP may be performed using the trained encoded shared latent space V.

Abstract: The present disclosure discloses a tobacco leaf foliar spraying substance for reducing harmful ingredients in cheroot, a method for reducing carcinogenic components in flue-cured tobacco leaves and flue-cured tobacco shreds. The tobacco leaf foliar spraying substance contains a lotus leaf extract, the harmful chemical ingredients comprise N-nitrosonornicotine, 4-(N-methyl-nitrosamine)-1-(3-pyridinyl)-1-butanone, N-nitrosoanabasine and N-nitrosoanatabine. Foliar spraying is performed on a fertile field by using the lotus leaf extract before tobacco leaves are harvested and modulated, which not only significantly promotesagronomic characters and economic traits of tobacco and alleviates tobacco leaf browning but also effectively reduces harmful chemical ingredients unique to tobacco leaves, such as nitrosamine and nicotine.

Abstract: The present invention relates to a learning-oriented transferable automatic driving method and system driven by a world model. The method includes the following steps: constructing a simulation environment; collecting a large batch of data in the simulation environment, and collecting a small batch of data in the real environment; constructing a world model, and performing model training in the simulation environment by using the large batch of data, wherein the world model takes a camera image as an input to model an environment by using a generative world model; storing and transmitting historical moment information by hidden variables, and outputting an aerial view and a control instruction; and performing domain adaptive transferring training in the real environment on the basis of the small batch of data, and deploying the model in an autonomous vehicle in the real world to achieve virtuality-to-reality transferring general integrated automatic driving.

Abstract: The present application relates to the technical field of vehicle control, and in particular, to a driving world model based on a brain-like neural circuit. The driving world model includes: a perception module, an environment memory module, a brain-like neural circuit network module, and a convolutional network module; the perception module includes a two-dimensional feature encoding unit, a three-dimensional feature encoding unit, a summing pooling unit which are connected in sequence; the environment memory module is configured to acquire a current moment and memorize environment dynamics information; the brain-like neural circuit network module is configured to establish a brain-like neural circuit network. The present application uses a monocular camera image as an input image.

Abstract: A process for producing nano-scaled graphene plates with each plate comprising a sheet of graphite plane or multiple sheets of graphite plane with the graphite plane comprising a two-dimensional hexagonal structure of carbon atoms. The process includes the primary steps of: (a) providing a powder of fine graphite particles comprising graphite crystallites with each crystallite comprising one sheet or normally a multiplicity of sheets of graphite plane bonded together; (b) exfoliating the graphite crystallites to form exfoliated graphite particles, which are characterized by having at least two graphite planes being either partially or fully separated from each other; and (c) subjecting the exfoliated graphite particles to a mechanical attrition treatment to further reduce at least one dimension of the particles to a nanometer scale, <100 nm, for producing the nano-scaled graphene plates.