Abstract: Embodiments of the present disclosure relate to configuration-based sampling of run segments for simulating autonomous vehicle behavior. In at least one implementation, a method comprises: providing a set of run segments corresponding to scenarios for simulating operation of an autonomous vehicle; receiving a user-specified configuration comprising parameters for identifying target run segments within the set of run segments; applying the user-specified configuration to the set of run segments to identify the target run segments; and causing one or more simulations to be performed using the target run segments to generate a simulation output.

Abstract: A diffused field-effect transistor (FET) is disclosed. The diffused FET is dually optimized in voltage resistance by incorporating both a trench isolation structure and a thick second oxide layer and thus has a more significantly improved breakdown voltage. With the thick second oxide layer ensuring suitable voltage resistance of the transistor device, its on-resistance can be reduced either by reducing the size of the trench isolation structure or increasing an ion dopant concentration of a drift region. As such, a good tradeoff between voltage resistance and on-resistance is achievable.

Abstract: The disclosure relates to running simulations in order to test software used to control a vehicle in an autonomous driving mode. For instance, logged data may be identified for a simulation. The logged data may have been collected by a first vehicle and may identifying an agent that is a road user. The logged data may be analyzed to identify one or more signals of intent of the agent including a logged path of the agent. One or more characteristics may be identified based on the one or more signals. The simulation may be run using the logged data by replacing the agent with an interactive agent having the one or more characteristics. The interactive agent may be capable of responding to actions performed by a simulated vehicle in the simulation using software for controlling a vehicle in an autonomous driving mode.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing a backward looking surprise metric for autonomously driven vehicles. One of the methods includes obtaining first data representing one or more previously predicted states of an agent along one or more predicted trajectories of the agent at a first time step. Second data representing one or more states of the agent at a subsequent time step is obtained. A surprise score is computed from a measure of a difference between the first data computed for the one or more predicted trajectories for the prior time step and the second data computed for the one or more predicted states for the subsequent time step.

Abstract: This application provides techniques for projecting content from a device to other device. The techniques comprise performing a first device discovery operation by using a first network, wherein the first network comprises a local area network, and wherein the performing a first device discovery operation by using a first network further comprises sending broadcast information in the local area network; performing a second device discovery operation by using a second network, wherein the second network comprises a wide area network, and wherein the performing a second device discovery operation by using a second network further comprises communicating with a server via the wide area network; determining the other device to which the content is to be projected based on the first device discovery operation and the second device discovery operation; and establishing a network connection with the other device for content projection.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing a backward looking surprise metric for autonomously driven vehicles. One of the methods includes obtaining first data representing one or more previously predicted states of an agent along one or more predicted trajectories of the agent at a first time step. Second data representing one or more states of the agent at a subsequent time step is obtained. A surprise score is computed from a measure of a difference between the first data computed for the one or more predicted trajectories for the prior time step and the second data computed for the one or more predicted states for the subsequent time step.

Abstract: An efficient and scarless gene editing system for Salmonella and the use thereof are provided. ?Red recombinase is used to promote a double crossover of a DNA template with a genomic target site, the CRISPR/Cas9 system is used for screening, and one-step homologous recombination is used to rapidly construct a targeting plasmid, which can realize insertion, substitution or knock-out of genes. Genomic DNA is completely substituted according to a design of homologous template, and without other fragment residues. Genome editing can be completed efficiently within 3-4 days, thereby reducing the experimental workload and shortening the experimental cycle.

Abstract: The present disclosure discloses techniques for multi-screen interactive display. The techniques comprise receiving a screen projection request from a screen projection device, and establishing an audio and video data connection channel with the screen projection terminal device; acquiring audio and video data through the audio and video data connection channel, and displaying the audio and video data on a target display window; receiving an interactive request from the screen projection terminal device, and determining a type of interactive data based on the interactive request; establishing an interactive data connection channel with the screen projection terminal device based on the type of the interactive data; and receiving the interactive data of the screen projection terminal device through the interactive data connection channel, and displaying the interactive data on the target display window.

Abstract: The disclosure relates to running simulations in order to test software used to control a vehicle in an autonomous driving mode. For instance, logged data may be identified for a simulation. The logged data may have been collected by a first vehicle and may identifying an agent that is a road user. The logged data may be analyzed to identify one or more signals of intent of the agent including a logged path of the agent. One or more characteristics may be identified based on the one or more signals. The simulation may be run using the logged data by replacing the agent with an interactive agent having the one or more characteristics. The interactive agent may be capable of responding to actions performed by a simulated vehicle in the simulation using software for controlling a vehicle in an autonomous driving mode.

Abstract: The disclosure relates to testing software for operating an autonomous vehicle. In one instance, a simulation may be run using log data collected by a vehicle operating in an autonomous driving mode. The simulation may be run using the software to control a simulated vehicle and by modifying a characteristic of an agent identified in the log data. During the running of the simulation, that a first type of interaction between the first simulated vehicle and the modified agent will occur may be determined. In response to determining that the particular type of interaction will occur, the modified agent may be replaced by a interactive agent that simulates a road user corresponding to the modified agent that is capable of responding to actions performed by simulated vehicles. That the particular type of interaction between the simulated vehicle and the interactive agent has occurred in the simulation may be determined.

Abstract: The present application discloses a data transmission method, including: receiving a screen mirroring request from a screen mirroring terminal device, and establishing an audio and video data connection channel with the screen mirroring terminal device; obtaining audio and video data through the audio and video data connection channel and playing the audio and video data; monitoring a network status of the audio and video data connection channel; and when the network status deteriorates, selecting a transmission mode from preset transmission strategies corresponding to an indicator value of the network status and performing the transmission mode.

Abstract: The disclosure relates to running simulations in order to test software used to control a vehicle in an autonomous driving mode. For instance, logged data may be identified for a simulation. The logged data may have been collected by a first vehicle and may identifying an agent that is a road user. The logged data may be analyzed to identify one or more signals of intent of the agent including a logged path of the agent. One or more characteristics may be identified based on the one or more signals. The simulation may be run using the logged data by replacing the agent with an interactive agent having the one or more characteristics. The interactive agent may be capable of responding to actions performed by a simulated vehicle in the simulation using software for controlling a vehicle in an autonomous driving mode.

Abstract: The present application discloses techniques of implementing multi-screen display of interactive data. The techniques comprise receiving an interaction request from another computing device; establishing an interactive data connection channel with the other computing device according to the interaction request; receiving interactive data for the other computing device through the interactive data connection channel; determining a plurality of types of interactive data and corresponding interactive instructions included in the interactive data by analyzing field data in a data format of the interactive data based on a predetermined data format table; and performing display of the plurality of types of interactive data based on the corresponding interactive instructions.

Abstract: The present application discloses a data transmission method, including: receiving a screen mirroring request from a screen mirroring terminal device, and establishing an audio and video data connection channel with the screen mirroring terminal device; obtaining audio and video data through the audio and video data connection channel and playing the audio and video data; monitoring a network status of the audio and video data connection channel; and when the network status deteriorates, selecting a transmission mode from preset transmission strategies corresponding to an indicator value of the network status and performing the transmission mode.

Abstract: The present disclosure discloses techniques for multi-screen interactive display. The techniques comprise receiving a screen projection request from a screen projection device, and establishing an audio and video data connection channel with the screen projection terminal device; acquiring audio and video data through the audio and video data connection channel, and displaying the audio and video data on a target display window; receiving an interactive request from the screen projection terminal device, and determining a type of interactive data based on the interactive request; establishing an interactive data connection channel with the screen projection terminal device based on the type of the interactive data; and receiving the interactive data of the screen projection terminal device through the interactive data connection channel, and displaying the interactive data on the target display window.

Abstract: The disclosure relates to testing software for operating an autonomous vehicle. In one instance, a simulation may be run using log data collected by a vehicle operating in an autonomous driving mode. The simulation may be run using the software to control a simulated vehicle and by modifying a characteristic of an agent identified in the log data. During the running of the simulation, that a first type of interaction between the first simulated vehicle and the modified agent will occur may be determined. In response to determining that the particular type of interaction will occur, the modified agent may be replaced by a interactive agent that simulates a road user corresponding to the modified agent that is capable of responding to actions performed by simulated vehicles. That the particular type of interaction between the simulated vehicle and the interactive agent has occurred in the simulation may be determined.

Abstract: The disclosure relates to testing software for operating an autonomous vehicle. In one instance, a simulation may be run using log data collected by a vehicle operating in an autonomous driving mode. The simulation may be run using the software to control a simulated vehicle and by modifying a characteristic of an agent identified in the log data. During the running of the simulation, that a first type of interaction between the first simulated vehicle and the modified agent will occur may be determined. In response to determining that the particular type of interaction will occur, the modified agent may be replaced by a interactive agent that simulates a road user corresponding to the modified agent that is capable of responding to actions performed by simulated vehicles. That the particular type of interaction between the simulated vehicle and the interactive agent has occurred in the simulation may be determined.

Abstract: The disclosure relates to running simulations in order to test software used to control a vehicle in an autonomous driving mode. For instance, logged data may be identified for a simulation. The logged data may have been collected by a first vehicle and may identifying an agent that is a road user. The logged data may be analyzed to identify one or more signals of intent of the agent including a logged path of the agent. One or more characteristics may be identified based on the one or more signals. The simulation may be run using the logged data by replacing the agent with an interactive agent having the one or more characteristics. The interactive agent may be capable of responding to actions performed by a simulated vehicle in the simulation using software for controlling a vehicle in an autonomous driving mode.

Abstract: The present application discloses techniques of implementing multi-screen display of interactive data. The techniques comprise receiving an interaction request from another computing device; establishing an interactive data connection channel with the other computing device according to the interaction request; receiving interactive data for the other computing device through the interactive data connection channel; determining a plurality of types of interactive data and corresponding interactive instructions included in the interactive data by analyzing field data in a data format of the interactive data based on a predetermined data format table; and performing display of the plurality of types of interactive data based on the corresponding interactive instructions.

Abstract: A diffused field-effect transistor (FET) is disclosed. The diffused FET is dually optimized in voltage resistance by incorporating both a trench isolation structure and a thick second oxide layer and thus has a more significantly improved breakdown voltage. With the thick second oxide layer ensuring suitable voltage resistance of the transistor device, its on-resistance can be reduced either by reducing the size of the trench isolation structure or increasing an ion dopant concentration of a drift region. As such, a good tradeoff between voltage resistance and on-resistance is achievable.