Abstract: When a chatbot application is in a mode of live chat conversation with a user, a trained intent classifier determines an intent that underlies a first live question received by the trained intent classifier from the user. A trained next predictor receives the intent from the intent classifier. The trained next intent predictor generates a set of predicted next intents responsive to receiving the intent. A trained re-ranker selects at least one of the predicted next intents responsive to receiving the set of predicted next intents. A question selection engine sends at least one suggested question to the user responsive to receiving the at least one predicted next intent. As a result of the above, the chatbot application provides to the user at least one suggested next question the user may wish to ask in response to the first question from the user.

Abstract: A method for determining that a terminal device is located inside a geofence includes obtaining, based on a positioning library, a first geographical location corresponding to communication access information of the terminal device. If a location relationship between the first geographical location and the geofence meets a first preset condition, starting a positioning module to obtain a second geographical location of the terminal device and determining, based on the second geographical location, that the terminal device is located inside the geofence.

Abstract: Methods, systems and computer program products for tracking, encoding and decoding the code-location of runtime events. The system modifies a request packet to access a resource initiated by a source address to indicate the request packet was sent by an intermediary address. The system injects an identifier pre-allocated for the source address into the request packet. The system updates the modified request packet by replacing the intermediary address with a substitute address that corresponds with the source address' pre-allocated identifier. The system sends the updated request packet to the resource, the updated request packet indicating a response to the updated request packet is to be sent back to the substitute address.

Abstract: An ADV includes a method to combine data from multiple sensors. The method compresses video data from a camera to generate compressed video data. The compressed video data are segmented. The method time synchronizes each segment of the compressed video data with data from other sensors. The method then combines each segment of the compressed video data with the corresponding time-synchronized sensor data for the other sensors. In one embodiment, each segment of the compressed video data is independently decodable. In another embodiment, each segment of the compressed video data includes a compressed video unit that is prepended with a buffered portion of the compressed video data that immediately precede the compressed video unit. The length of the compressed video unit is smaller than the length of the independently decodable segment to offer finer granularity in time synchronizing the compressed video data with the other sensor data with a tradeoff.

Abstract: A method of manufacturing flexible display is disclosed. The method includes the steps of: providing a substrate, wherein the substrate includes a display area and a bending area; forming an inorganic layer on the substrate; etching the inorganic layer of the bending area of the substrate, and replacing the inorganic layer with a first organic layer; forming a metal wiring layer on the first organic layer; patterning the metal wiring layer; and forming a second organic layer on the metal wiring layer. By utilizing the method of manufacturing flexible display, the risk of metal wiring peeling and cracking during the bending process of the flexible display is reduced.

Abstract: Methods, systems, and computer-readable media for event extraction from documents with co-reference are disclosed. An event extraction service identifies one or more trigger groups in a document comprising text. An individual one of the trigger groups comprises one or more textual references to an occurrence of an event. The one or more trigger groups are associated with one or more semantic roles for entities. The event extraction service identifies one or more entity groups in the document. An individual one of the entity groups comprises one or more textual references to a real-world object. The event extraction service assigns one or more of the entity groups to one or more of the semantic roles. The event extraction service generates an output indicating the one or more trigger groups and one or more entity groups assigned to the semantic roles.

Abstract: The disclosure provides PARP PROTAC molecules comprising a PARP inhibitor linked to an E3 ligase binder, and their use in treating diseases caused by aberrant PARP activation. Such PROTAC molecules produce selective degradation of one or a specific set of PARP proteins with limited effects on the protein level of other PARPs.

Abstract: A video annotation system for deep learning based video analytics and corresponding methods of use and operation are described that significantly improve the efficiency of video data frame labeling and the user experience. The video annotation system described herein may be deployed at a network edge and may support various intelligent annotation functionality including annotation tracking, adaptive video segmentation, and execution of predictive annotation algorithms. In addition, the video annotation system described herein supports team collaboration functionality in connection with large-scale labeling tasks.

Abstract: An example operation may include one or more of receiving a plurality of transactions by an agent node, selecting, by the agent node, transactions from the plurality of the transactions that are the most likely to be conflicting based on common factors, combining, by the agent node, the selected transactions into a batch, and reordering the selected transactions within the batch to increase a success rate.

Abstract: A method of treating tunnel collapse includes mounting a shield plate, a column, a support column to form a combined support and moving the combined support onto an operation platform, lifting up the combined support, and enabling the height of canopy to be greater than the height of an initial supporting arch. Actively contacting a surface of a collapse cavity by a fixed support column and bearing a load, and lifting a movable support column to the top of the collapse cavity and bearing a load. Mounting an initial supporting arch, and welding the initial supporting arch with the support column. Removing a hydraulic prop after the support column contacting the initial supporting arch is cut off and the load of the shield plate is transferred to a supporting shed. Mounting an exhaust pipe and a filling material pumping pipe, and pumping a filling material into a collapse cavity space.

Abstract: In one embodiment, a sensor unit to be utilized in an autonomous driving vehicle (ADV) includes a sensor interface that can be coupled to a number of sensors mounted on a number of different locations of the ADV. The sensor unit further includes a host interface that can be coupled to a host system such as a planning and control system utilized to autonomously drive the vehicle. The sensor unit further includes a number of data transfer modules corresponding to the sensors. Each of the data transfer modules can be configured to operate in one of the operating modes, dependent upon the type of the corresponding sensor. The operating modes include a low latency mode, a high bandwidth mode, and a memory mode.

Abstract: A method to perform video compression for ADV is disclosed. The method receives multiple frames of image data from multiple cameras. Metadata are appended to each frame of the image data to generate one of multiple frames of uncompressed image data as the image data are received. The frames of uncompressed image data may be stored. To compress the image data later, the method retrieves the frames of uncompressed image data, extracts the metadata from each frame of the uncompressed image data to generate one of multiple frames of processed image data. The method compresses each frame of the processed image data with the metadata extracted to generate one of multiple frames of compressed image data. The method reattaches the metadata to a corresponding frame of the compressed image data to generate one of multiple compressed image frames. The metadata supports time synchronization and error handling of the image data.

Abstract: A method, system, and computer program product for routing queries to answer resources based on component parts and intents of a received query is provided. The method receives a query from a user. The query is analyzed to identify a set of entities associated with the query and generate an utterance representing the query. The method generates an intent classification for the utterance and a vector for the query. The vector is generated based on the set of entities, the utterance, and the intent classification. The method determines an answer resource for the query based on the vector and the intent classification of the query. In response to determining the answer resource, the method provides an answer interface based on the query, the vector, and the intent classification. The answer interface dynamically provides a response to the query.

Abstract: Embodiments of the present disclosure provide a method, an apparatus for previewing video, an electronic device, and a computer-readable storage medium. The method includes: determining a first video corresponding to the first video cover fully displayed in a current screen when stop of a slide on the screen is detected; playing the first video on the current screen for user previewing; jumping to a subpage corresponding to the first video and playing the first video on the subpage when a click operation to the first video is detected. According to this disclosure, users can know the specific content of the video during the previewing process, so as to determine whether they are interested in the video. If they are not interested, the uses may skip it directly and continue watching the next video; else, the users may click the video to further watch the full video content, so that the users can intuitively filter the watching contents, thereby improving the user experience.

Abstract: A shield sheet comprises a collar magnetic sheet and a center magnetic sheet. The collar magnetic sheet is provided with a hole adapted to the center magnetic sheet. The center magnetic sheet has one end fixed in the hole and the other end protruding out of the collar magnetic sheet. The collar magnetic sheet comprises at least one first magnetic permeable layer, which is a nanocrystal strip, an amorphous strip or a metallic soft magnetic strip. The center magnetic sheet comprises at least two second magnetic permeable layers stacked one on another, which are fragmented nanocrystal strips, fragmented amorphous strips or fragmented metallic soft magnetic strips. Fewer nanocrystal strips are stacked for the collar magnetic sheet in the shield sheet of the invention, facilitating the miniaturization of the shield sheet and increasing charging efficiency.

Abstract: In some implementations, a method of verifying operation of a sensor is provided. The method includes causing a sensor to obtain sensor data at a first time, wherein the sensor obtains the sensor data by emitting waves towards a detector. The method also includes determining that the detector has detected the waves at a second time. The method further includes receiving the sensor data from the sensor at a third time. The method further includes verifying operation of the sensor based on at least one of the first time, the second time, or the third time.

Abstract: In some implementations, a method is provided. The method includes determining a first set of data acquisition characteristics of a first sensor of an autonomous driving vehicle. The method also includes determining a second set of data acquisition characteristics of a second sensor of the autonomous driving vehicle. The method further includes synchronizing a first data acquisition time of the first sensor and a second data acquisition time of the second sensor, based on the first set of data acquisition characteristics and the second set of data acquisition characteristics. The first sensor obtains first sensor data at the first data acquisition time. The second sensor obtains second sensor data at the second data acquisition time.

Abstract: A method of treating tunnel collapse includes mounting a shield plate, a column, a support column to form a combined support and moving the combined support onto an operation platform, lifting up the combined support, and enabling the height of canopy to be greater than the height of an initial supporting arch. Actively contacting a surface of a collapse cavity by a fixed support column and bearing a load, and lifting a movable support column to the top of the collapse cavity and bearing a load. Mounting an initial supporting arch, and welding the initial supporting arch with the support column. Removing a hydraulic prop after the support column contacting the initial supporting arch is cut off and the load of the shield plate is transferred to a supporting shed. Mounting an exhaust pipe and a filling material pumping pipe, and pumping a filling material into a collapse cavity space.

Abstract: An example operation may include one or more of submitting, by a blockchain client, a transaction proposal to a blockchain network, endorsing, by one or more endorser nodes or peers, the transaction proposal, endorsing comprising updating an in-process world state list, providing one or more composite endorsements, each comprising a base result and a forecasted result corresponding to the transaction proposal, submitting an endorsed transaction in response to the one or more composite endorsements, validating, by a committer node or peer, the endorsed transaction, committing the endorsed transaction to the blockchain network, and removing the committed transaction from the in-process world state list.

Abstract: An example operation may include one or more of receiving a plurality of transactions by an agent node, selecting, by the agent node, transactions from the plurality of the transactions that are the most likely to be conflicting based on common factors, combining, by the agent node, the selected transactions into a batch, and reordering the selected transactions within the batch to increase a success rate.