Abstract: A system obtains scene context data characterizing the environment. The scene context data includes data that characterizes a trajectory of an agent in a vicinity of a vehicle up to a current time point. The system identifies a plurality of initial target locations, and generates, for each of a plurality of target locations that each corresponds to one of the initial target locations, a respective predicted likelihood score that represents a likelihood that the target location will be an intended final location for a future trajectory of the agent. For each target location in a first subset of the target locations, the system generates a predicted future trajectory for the agent given that the target location is the intended final location for the future trajectory. The system further selects, as likely future trajectories of the agent, one or more of the predicted future trajectories.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for predicting future trajectories for an agent in an environment. A system obtains scene context data characterizing the environment. The scene context data includes data that characterizes a trajectory of an agent in a vicinity of a vehicle in an. environment up to a current time point. The system identifies a plurality of initial target locations in the environment. The system further generates, for each of a plurality of target locations that each corresponds to one of the initial target locations, a respective predicted likelihood score that represents a likelihood that the target location will be an intended final location for a future trajectory of the agent starting from the current time point.

Abstract: This application relates to the artificial intelligence field, and discloses a neural network search method and a related apparatus. The neural network search method includes: constructing attention heads in transformer layers by sampling a plurality of candidate operators during model search, to construct a plurality of candidate neural networks, and comparing performance of the plurality of candidate neural networks to select a target neural network with higher performance. In this application, a transformer model is constructed with reference to model search, so that a new attention structure with better performance than an original self-attention mechanism can be generated, and effect in a wide range of downstream tasks is significantly improved.

Abstract: An antenna structure includes a first signal connector and a second signal connector. The antenna structure further includes a cavity antenna defined by a set of planar walls. The cavity antenna is coupled to the first signal connector and configured to emit a field polarized linearly in a first direction when driven by a signal at the first signal connector. The antenna structure further includes a dipole antenna defined by a pair of arms that are integrated with a wall of the cavity antenna. The dipole antenna is coupled to the second signal connector and configured to a field polarized linearly in a second direction offset from the first direction when driven by a signal at the second signal connector.

Abstract: A Y-type molecular sieve and a preparation method therefor are provided. The grain size of the molecular sieve is 20-100 nm, preferably 40-70 nm, and more preferably 50-60 nm. The molar ratio of silica/alumina in the molecular sieve is 4.5-7, preferably 5.0-6.5, and more preferably 6.0-6.5. The proportion of 40-70 nm grains in the molecular sieve that is measured by means of a dynamic photoelectron scattering method is 80%-95%, and preferably 85%-93%. The Y-type molecular sieve has a small grain size, concentrated grain distribution, high silica-alumina ratio and good hydrothermal stability, and can meet the needs of industrial production.

Abstract: The present disclosure provides a method, an apparatus, a computer device and a computer-readable storage medium for positioning, and relates to the field of autonomous driving. The method obtains point cloud data collected by a LiDAR on a device at a current time; determines, based on the point cloud data and a global map built in a global coordinate system, global positioning information of the device in the global coordinate system at the current time; and determine, based on the point cloud data and a local map built in a local coordinate system, local positioning information of the device in the local coordinate system at the current time. A positioning result of the device at the current time is determined based on at least the global positioning information and the local positioning information. Techniques of the present disclosure can provide an effective and stable positioning service.

Abstract: The present disclosure provides a method, an apparatus, a computer device and a computer-readable storage medium for positioning, and relates to the field of autonomous driving. The method obtains inertial measurement data of a device to be positioned at a current time and point cloud data collected by a LiDAR on the device at the current time; determines, by integrating the inertial measurement data, inertial positioning information of the device in an inertial coordinate system at the current time; and determines, based on the inertial positioning information, the point cloud data and at least one local map built in a local coordinate system, a positioning result of the device in the local coordinate system at the current time. Techniques of the present disclosure can provide an effective and stable local positioning result.

Abstract: The present disclosure provides a method, an apparatus, a computing device and a computer readable storage medium for detecting an environmental change, and relates to the field of autonomous driving. The method obtains a global map for an area and a first local map built in real time for a sub-area in the area; and determines an environmental change in the first sub-area by comparing the first local map and the global map and determining a first probability of the environmental change. Techniques of the present disclosure can automatically detect environmental changes that affect the positioning of autonomous driving, thereby facilitating the updating of positioning maps.

Abstract: A chip testing method and apparatus, and an electronic equipment are provided. The method includes: determining, according to pad distribution information of a target chip, positions of set state pads and positions of non-set state pads in the target chip, the set state pads being pads with set states, and the set states including a first state or a second state; determining a plurality of pad state setting schemes according to the positions of the set state pads and the positions of the non-set state pads, the pad state setting schemes including setting each of the non-set state pads to the first state or the second state; and determining a test voltage setting scheme satisfying a preset condition according to information of differential voltage pad pairs in each of the pad state setting schemes, the differential voltage pad pair comprising two adjacent pads in different states.

Abstract: The present disclosure discloses a drilling machine. The drilling machine may include a base, a mast arranged on the base, an iron roughneck, a drill floor mechanical arm, a top drive arranged on the mast, a pipe racker on a finger board, a power finger board, a power catwalk arranged on the ground, and an elevator arranged on the top drive. The drill machine and a corresponding tripping out and tripping in method may be used to vertically transport a stand between a well center and a region of at least one pipe setback efficiently, which may improve the efficiency of tripping out and tripping in, and reduce the risk of accidents in the well. In addition, the present disclosure provides a corresponding method for offline connecting and disconnecting stands during a drilling operation, which may reduce a preparation time during the drilling, improve the drilling efficiency, and reduce the cost of oilfield development.

Abstract: The present disclosure discloses a drilling machine. The drilling machine may include a base, a mast arranged on the base, an iron roughneck, a drill floor mechanical arm, a top drive arranged on the mast, a pipe racker on a finger board, a power finger board, a power catwalk arranged on the ground, and an elevator arranged on the top drive. The drill machine and a corresponding tripping out and tripping in method may be used to vertically transport a stand between a well center and a region of at least one pipe setback efficiently, which may improve the efficiency of tripping out and tripping in, and reduce the risk of accidents in the well. In addition, the present disclosure provides a corresponding method for offline connecting and disconnecting stands during a drilling operation, which may reduce a preparation time during the drilling, improve the drilling efficiency, and reduce the cost of oilfield development.

Abstract: A modified Y-type molecular sieve contains 0.5-2 wt. % of Na2O based on the total amount of the modified Y-type molecular sieve. In the modified Y-type molecular sieve, the ratio between the total acid amount measured by pyridine and infrared spectrometry and total acid amount measured by n-butyl pyridine and infrared spectrometry is 1-1.2. The total acid amount measured by pyridine and infrared spectrometry of the modified Y-type molecular sieve is 0.1-1.2 mmol/g. The acid center sites of the molecular sieve of the modified Y-type molecular sieve are distributed in the large pore channels. The molecular sieve is used in the hydrocracking reaction process of a wax oil.

Abstract: The present invention relates to method and apparatus for recommending a charging station, the method includes: determining, based on personal preference information of a user of an electric vehicle, a specific area reachable by the electric vehicle and suitable for charging the electric vehicle, when receiving a request for searching for a charging station for the electric vehicle; recommending a suitable charging station located in the specific area to the electric vehicle for charging. A suitable charging station may be recommended to the electric vehicle for charging with the method and apparatus.

Abstract: The present disclosure provides a method, an apparatus, a computing device and a computer readable storage medium for detecting an environmental change, and relates to the field of autonomous driving. The method obtains a global map for an area and a first local map built in real time for a sub-area in the area; and determines an environmental change in the first sub-area by comparing the first local map and the global map and determining a first probability of the environmental change. Techniques of the present disclosure can automatically detect environmental changes that affect the positioning of autonomous driving, thereby facilitating the updating of positioning maps.

Abstract: The present disclosure provides a method, an apparatus, a computer device and a computer-readable storage medium for positioning, and relates to the field of autonomous driving. The method obtains inertial measurement data of a device to be positioned at a current time and point cloud data collected by a LiDAR on the device at the current time; determines, by integrating the inertial measurement data, inertial positioning information of the device in an inertial coordinate system at the current time; and determines, based on the inertial positioning information, the point cloud data and at least one local map built in a local coordinate system, a positioning result of the device in the local coordinate system at the current time. Techniques of the present disclosure can provide an effective and stable local positioning result.

Abstract: The present disclosure provides a method, an apparatus, a computer device and a computer-readable storage medium for positioning, and relates to the field of autonomous driving. The method obtains point cloud data collected by a LiDAR on a device at a current time; determines, based on the point cloud data and a global map built in a global coordinate system, global positioning information of the device in the global coordinate system at the current time; and determine, based on the point cloud data and a local map built in a local coordinate system, local positioning information of the device in the local coordinate system at the current time. A positioning result of the device at the current time is determined based on at least the global positioning information and the local positioning information. Techniques of the present disclosure can provide an effective and stable positioning service.

Abstract: A neural network-based error compensation method for 3D printing includes: compensating an input model by a deformation network/inverse deformation network constructed and trained according to a 3D printing deformation function/inverse deformation function, and performing the 3D printing based on the compensated model. Training samples of the deformation network/inverse deformation network include to-be-printed model samples and printed model samples. The deformation network constructed according to the 3D printing deformation function is marked as a first network. During training of the first network, the to-be-printed model samples are used as real input models, and the printed model samples are used as real output models. The inverse deformation network constructed according to the 3D printing inverse deformation function is marked as a second network.

Abstract: A neural network-based error compensation method for 3D printing includes: compensating an input model by a deformation network/inverse deformation network constructed and trained according to a 3D printing deformation function/inverse deformation function, and performing the 3D printing based on the compensated model. Training samples of the deformation network/inverse deformation network include to-be-printed model samples and printed model samples. The deformation network constructed according to the 3D printing deformation function is marked as a first network. During training of the first network, the to-be-printed model samples are used as real input models, and the printed model samples are used as real output models. The inverse deformation network constructed according to the 3D printing inverse deformation function is marked as a second network.

Abstract: A modified Y-type molecular sieve contains 0.5-2 wt. % of Na2O based on the total amount of the modified Y-type molecular sieve. In the modified Y-type molecular sieve, the ratio between the total acid amount measured by pyridine and infrared spectrometry and total acid amount measured by n-butyl pyridine and infrared spectrometry is 1-1.2. The total acid amount measured by pyridine and infrared spectrometry of the modified Y-type molecular sieve is 0.1-1.2 mmol/g. The acid center sites of the molecular sieve of the modified Y-type molecular sieve are distributed in the large pore channels. The molecular sieve is used in the hydrocracking reaction process of a wax oil.

Abstract: The present disclosure provides a hydrocracking catalyst, a method for preparing the same and a use of the same, and a method for hydrocracking catalytic diesel oil. The catalyst comprises a support, an active metal component, and carbon, wherein, based on the total weight of the catalyst, the content of the support is 60 to 90 wt %, the content of the active metal component calculated in metal oxides is 15 to 40 wt %, and the content of carbon calculated in C element is 1 to 5 wt %; measured with an infrared acidimetric estimation method, the acid properties of the hydrocracking catalyst are: the total infrared acid amount is 0.4 to 0.8 mmol/g, wherein, the infrared acid amount of strong acid with desorption temperature greater than 350° C. is 0.08 mmol/g or lower, and the ratio of the total infrared acid amount to the infrared acid amount of strong acid with desorption temperature greater than 350° C. is 5 to 50.