Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for search and ranking legal document. The system obtains a transcript of a legal interaction, and displays the transcript via a user interface. The system further generates a query parameter based on the transcript, and transmits the query parameter to a database search engine The system receives a list of documents retrieved by the database search engine corresponding to the query parameter, and for each document in the list of documents, generates a respective feature representation.

Abstract: A switch architecture for a data-driven intelligent networking system is provided. The system can accommodate dynamic traffic with fast, effective congestion control. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow are acknowledged after reaching the egress point of the network, and the acknowledgement packets are sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform flow control on a per-flow basis.

Abstract: The present disclosure relates generally to facilitating routing of communications. More specifically, techniques are provided to dynamically routing messages having multiple intents between bots and terminal devices during communication sessions configured with multi-channel capabilities.

Abstract: Disclosed embodiments provide a framework to assist bot managers and builders in identifying particular friction points between bots and customers to allow for real-time identification of bot conversation issues and to train bots to improve conversation flows. Conversation data is processed using machine learning models to detect bot states within conversations and calculate a Meaningful Automated Connection Score (MACS) for these conversations. The MACS for a conversation is provided to bot builders to allow the bot builders to identify friction points and update bots accordingly.

Abstract: A pedal brake assembly comprises a master cylinder block defining a bore extending along a center axis. At least one brake piston is slidably disposed in the bore. A push rod, having a body portion and an end portion, extends between a first end and a second end. The second end is coupled to a brake pedal. A housing defines a channel for receiving the push rod. An actuator couples to the at least one brake piston. The body portion is slidably disposed in the channel. The end portion is in an abutment relationship with the housing and defines a hole extending from the first end to the body portion. A plunger is slidably disposed in the end portion for engaging the at least one brake piston whereby the push rod and the actuator are independently movable along the center axis.

Abstract: An intent confusion evaluation engine receives conversation data corresponding to conversations between customers and agents. The engine evaluates annotations in the conversation data corresponding to intents identified from messages exchanged between customers and agents to determine levels of confusion amongst different intents. Based on these levels of confusion, the engine creates a graphical representation that illustrates the various intents and the level of confusion between different pairings of intents for the set of conversations. If an update is provided to the annotations, the graphical representation is updated dynamically and in real-time to provide updated levels of confusion amongst the various intents in accordance with the update.

Abstract: A switch architecture for a data-driven intelligent networking system is provided. The system can accommodate dynamic traffic with fast, effective congestion control. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow are acknowledged after reaching the egress point of the network, and the acknowledgement packets are sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform flow control on a per-flow basis.

Abstract: The invention relates to a surgical guide for receiving and guiding a surgical instrument performing a bone osteotomy, the guide including a body, at least one cutting channel extending in length along the first body face and extending through the body, the cutting channel having a discrete length such that the channel is bounded by the first and second body faces through which it extends, two or more apertures adapted to receive a fixation device, the guide including one or more elongate arms or arm assemblies directly or indirectly connected to and extending from one side wall of the body. The guide may be used in canine tibial plateau levelling osteotomy and other orthopedic or surgical procedures. Also described are methods for use of the guide.

Abstract: An intent confusion evaluation engine receives conversation data corresponding to conversations between customers and agents. The engine evaluates annotations in the conversation data corresponding to intents identified from messages exchanged between customers and agents to determine levels of confusion amongst different intents. Based on these levels of confusion, the engine creates a graphical representation that illustrates the various intents and the level of confusion between different pairings of intents for the set of conversations. If an update is provided to the annotations, the graphical representation is updated dynamically and in real-time to provide updated levels of confusion amongst the various intents in accordance with the update.

Abstract: Systems and methods are described for training a model for detecting manufacturing anomalies. A test response parameter is identified at a computing device, and a first plurality of component waveforms associated with the test response parameter are received at the computing device. Each waveform of the plurality of waveforms comprises a plurality of datapoints. A model is generated at the computing device, and the model is trained at the computing device and on the first plurality of component waveforms, thereby generating one or more parameters associated with the model. A second plurality of component waveforms associated with the test response parameter is received, and the trained model is accessed. It is indicated using the trained model, whether any of the second plurality of component waveforms comprises an anomaly. For each indicated waveform, the indicated waveform is reviewed and, for each reviewed waveform not comprising an anomaly, the waveform is labelled.

Abstract: The present disclosure relates generally to facilitating routing of communications. More specifically, techniques are provided to dynamically routing messages having multiple intents between bots and terminal devices during communication sessions configured with multi-channel capabilities.

Abstract: The present disclosure relates generally to facilitating two-way communications. One example involves receiving input data as part of a two-way communication session associated with a plurality of bots, accessing confidence scores from the bots. Mapped scores are then generated for the plurality of bots from the confidence scores using a bot score mapper. A selected bot is identified using the mapped scores, and the two-way communication session is facilitated using the selected bot. Further, techniques are provided to track performance of the selected bot and dynamically updated mapping adjustments in the bot score mapper using feedback and machine learning systems.

Abstract: Disclosed embodiments provide a framework to assist bot managers and builders in identifying particular friction points between bots and customers to allow for real-time identification of bot conversation issues and to train bots to improve conversation flows. Conversation data is processed using machine learning models to detect bot states within conversations and calculate a Meaningful Automated Connection Score (MACS) for these conversations. The MACS for a conversation is provided to bot builders to allow the bot builders to identify friction points and update bots accordingly.

Abstract: A pressure supply unit for a brake system including a booster body that defines an axially extending cylinder. A piston is slideable within the cylinder. The piston defines a bore that receives a spindle. The spindle is rotationally fixed and axially moveable for providing the axial movement of the piston. A motor is positioned about the spindle and is configured to axially translate the spindle and piston. A ball and socket joint connects the piston and spindle while accommodating pivoting movement of the spindle. The ball and socket joint includes a ball at a front end of the spindle and a socket in the bore of the piston which receives the ball.

Abstract: A pressure supply unit for a brake system including a booster body that defines an axially extending cylinder. A piston is slideable within the cylinder. The piston defines a bore that receives a spindle. The spindle is rotationally fixed and axially moveable for providing the axial movement of the piston. A motor is positioned about the spindle and is configured to axially translate the spindle and piston. A ball and socket joint connects the piston and spindle while accommodating pivoting movement of the spindle. The ball and socket joint includes a ball at a front end of the spindle and a socket in the bore of the piston which receives the ball.

Abstract: The present disclosure relates generally to facilitating routing of communications. More specifically, techniques are provided to dynamically routing messages having multiple intents between bots and terminal devices during communication sessions configured with multi-channel capabilities.

Abstract: Disclosed embodiments provide a framework for intent discovery based on user input and execution of processes based on the discovered intents. An intent processing system provides, via an interface, a graphical representation of different intent clusters corresponding to different intents. An intent cluster includes a set of intent terms and/or phrases that can be used to submit a request or issue that is associated with an intent. As a user selects intent terms and/or phrases from an intent cluster via the interface, the intent processing system can identify actions that can be performed to address the user's request or issue.

Abstract: An intent confusion evaluation engine receives conversation data corresponding to conversations between customers and agents. The engine evaluates annotations in the conversation data corresponding to intents identified from messages exchanged between customers and agents to determine levels of confusion amongst different intents. Based on these levels of confusion, the engine creates a graphical representation that illustrates the various intents and the level of confusion between different pairings of intents for the set of conversations. If an update is provided to the annotations, the graphical representation is updated dynamically and in real-time to provide updated levels of confusion amongst the various intents in accordance with the update.

Abstract: Disclosed embodiments provide a framework to assist bot managers and builders in identifying particular friction points between bots and customers to allow for real-time identification of bot conversation issues and to train bots to improve conversation flows. Conversation data is processed using machine learning models to detect bot states within conversations and calculate a Meaningful Automated Connection Score (MACS) for these conversations. The MACS for a conversation is provided to bot builders to allow the bot builders to identify friction points and update bots accordingly.

Abstract: The present disclosure relates generally to facilitating two-way communications. One example involves receiving input data as part of a two-way communication session associated with a plurality of bots, accessing confidence scores from the bots. Mapped scores are then generated for the plurality of bots from the confidence scores using a bot score mapper. A selected bot is identified using the mapped scores, and the two-way communication session is facilitated using the selected bot. Further, techniques are provided to track performance of the selected bot and dynamically updated mapping adjustments in the bot score mapper using feedback and machine learning systems.