Abstract: A distribution system is disclosed for use in an induction system with an object processing system. The distribution system provides distribution of dissimilar objects into one of a plurality of receiving units. The distribution system includes an urging system for urging an object on a conveyor from the conveyor to one of a plurality of adjacent receiving stations via a receiving chute, wherein each receiving station is lower than the conveyor.

Abstract: Impeller architecture for a cooling fan and methodology for making same. The impeller architecture includes a plurality of blades, individual ones of the blades have a first end that is attached to a hub component in a sequential order, such that sequential first ends are attached to the circumference. An indexing function is applied to the sequential order, and blades or the spaces therebetween are modified accordingly to have a blade type based on their sequential location and the indexing function. The indexing function can be, in a non-limiting example, odd numbers or prime numbers.

Abstract: A distribution system for use in an induction system with an object processing system. The distribution system provides dissimilar objects into one of a plurality of receiving units. The distribution system includes an air intake system with an opening that is a fixed distance from a conveyor section, said air intake system aiding in moving an object on the conveyor section from the conveyor section to one of a plurality of adjacent transport units.

Abstract: An apparatus includes a first optical circuit and a second optical circuit. The first optical circuit has a network of interconnected interferometers to perform an M-mode universal transformation on N input optical modes that are divided into (M?1) groups of pulses. The first optical circuit also includes M input ports. Each input port of a first (M?1) input ports is configured to receive a corresponding group of pulses in the (M?1) groups of pulses. The first optical circuit also includes M output ports and a first delay line to couple an Mth output port with an Mth input port. The second optical circuit includes a network of beamsplitters and swap gates to perform a (2M?3)-mode residual transformation. The first optical circuit and the second optical circuit are configured to perform an arbitrary N-mode unitary transformation to the N input optical modes via a rectangular architecture.

Abstract: A virtual assistant server receives an utterance provided by an end user via a channel of a virtual assistant rendered in a client device. The virtual assistant server identifies a current-node of execution from a plurality of nodes of a conversation definition of the virtual assistant and identifies a first set of language models from a group of language models of the virtual assistant to interpret the utterance. Further, the virtual assistant server executes the first set of language models in an order based on the current-node until an intent of the utterance is determined. Subsequently, the virtual assistant server generates a response based on the intent and outputs the response to the client device.

Abstract: A virtual assistant server extracts concept(s) from a received user query and correlates the extracted concept(s) to a plurality of nodes in a knowledge graph to identify qualifying path(s) in the knowledge graph. Further, when the two or more qualifying paths are identified, the virtual assistant server addresses one or more ambiguities in the knowledge graph by: prompting the user device to resolve a current one of the one or more ambiguities progressing from contextual nodes towards leaf nodes in the knowledge graph; receiving a response to the prompt from the user device; and repeating the prompting and the receiving until each of the one or more ambiguities is resolved and a matching path to the received query is identified. Finally, the virtual assistant server outputs content associated with a leaf node of the matched path to the user device.

Abstract: A virtual assistant server receives conversational inputs as part of a conversation from a customer device and generates a version of a data record of the conversation upon: the receiving of each of the conversational inputs, or receiving each output generated by one of a plurality of software modules when the one of the software modules receives a system input from the conversation management framework. The virtual assistant server provides each of the generated versions of the data record to a communication orchestrator and receives for each of the generated versions of the data record, execution instructions from the communication orchestrator. Further, the virtual assistant server communicates with one or more of the software modules based on the received execution instructions, and provides based on the communicating, one or more of the outputs of the software modules to the customer device, when the one or more of the outputs comprise one or more responses to one or more of the conversational inputs.

Abstract: A nimodipine injection concentrate and diluted formulation comprises nimodipine (base or salt), an effective amount of a hydrophilic surfactant, and a pharmaceutically acceptable carrier for injection which is an aqueous solution substantially free of organic solvent, such that the nimodipine is substantially contained in a concentrated injection solution, suspension, emulsion or complex as a micelle or a colloidal particle or an inclusion complex and the formulation is stable and clear. In certain embodiments, the hydrophilic surfactant is polysorbate 80.

Abstract: For example, a Bluetooth (BT) device may include a first BT radio; a second BT radio; and a BT controller configured to control BT activities of the first and second BT radios, the BT controller configured to process a Host Controller Interface (HCI) command from a host processor of the BT device to setup a BT activity, the BT controller configured to identify one or more scheduling requirements of the BT activity based on the HCI command, and, based on the scheduling requirements of the BT activity, to dynamically schedule the BT activity to a selected BT radio from the first and second BT radios.

Abstract: An induction system is disclosed for filtering the induction of objects to a plurality of object processing systems. The induction system includes an evaluation means for evaluating at least one characteristic of an object, and routing means for routing the object in one of a plurality of directions responsive to the evaluated characteristic, at least one of the plurality of directions leading to a selected one of the plurality of object processing systems.

Abstract: An induction system for filtering the induction of objects to an object processing system is disclosed. The induction system includes an evaluation means for evaluating at least one characteristic of an object, and a routing system for routing the object in one of a plurality of directions responsive to the evaluated characteristic, at least one of the plurality of directions leading to the object processing system.

Abstract: A server manages conversation data for a plurality of conversations between agent devices and customer devices and provides to the agent devices, one or more automated response recommendations to one or more customer messages by executing one or more dialog flows. The server, using a classification model, determines for each of the messages when there are one or more changes between the corresponding one or more automated response recommendations and one or more agent responses. Further, the server associates one or more tags to the one or more agent responses when the one or more changes are determined. Subsequently, the server identifies one or more patterns in the one or more tags associated to the one or more agent responses and provides one or more modification recommendations to the one or more dialog flows to one or more enterprise user devices based on the identified one or more patterns.

Abstract: A distribution system is disclosed for use in an induction system with an object processing system. The distribution system provides distribution of dissimilar objects into one of a plurality of receiving units. The distribution system includes an urging system for urging an object on a conveyor from the conveyor to one of a plurality of adjacent receiving stations via a receiving chute, wherein each receiving station is lower than the conveyor.

Abstract: Techniques related to video coding include efficient frame loss recovery using a feedback channel acknowledgement to decode base layer frames.

Abstract: Implementations disclosed describe systems and methods to optimize allocation of wireless subcarriers to station devices in wireless networks. In an example implementation, the disclosed techniques may include determining, by a station device in a wireless network, that a current set of wireless subcarriers, allocated by an access point device of the wireless network for the station device, is to be changed, generating, by the station device, a feedback information characterizing a current state of one or more of the wireless subcarriers, and sending, by the station device, the feedback information to the access point device.

Abstract: An induction system for filtering the induction of objects to an object processing system is disclosed. The induction system includes an evaluation means for evaluating at least one characteristic of an object, and a routing system for routing the object in one of a plurality of directions responsive to the evaluated characteristic, at least one of the plurality of directions leading to the object processing system.

Abstract: Computer-implemented techniques for repeatable and interpretable divisive analysis. In one embodiment, for example, a method comprises: identifying top-level cohorts of data items based on one or more characteristics of the data items in common; recursively or iteratively dividing a selected top-level cohort in a top-down manner resulting in a plurality of sub-level cohorts arranged in a hierarchy; detecting a particular data item that is a statistical outlier among data items of a leaf cohort in the hierarchy; and causing display of an indication in a computer user interface that the particular data item is an outlier.

Abstract: According to an aspect of the present invention disclosed herein, there is provided buckle, comprising: a male component and a female component, wherein: the male component comprises: a slot for a strap at an end of the male component opposite the side where the male component is configured to insert into the female component; an inclined insert; and one or more mating slots in the inclined insert; and the female component comprises: a top wall, a bottom wall, and sidewalls forming a receiving portion; a plurality of teeth; a slot for a strap; and a chord, wherein the chord is configured that when pulled the teeth disengage just enough for the male component to be released.

Abstract: A virtual assistant server executes a dialog flow corresponding to a use case of one or more utterances received from a customer device. Further, a large language model (LLM) is selected from a plurality of LLMs to perform response generation based on an execution state of the dialog flow. Further, a plurality of outputs is received from the selected LLM based on a plurality of prompts provided to the selected LLM to fulfill one or more execution goals of the dialog flow. Further, when one or more of the plurality of outputs comprise: one or more entities extracted from the one or more utterances and a response to be transmitted to the customer device, the adherence of: the extracted one or more entities to one or more business rules and the response to one or more conversation rules, are validated. Subsequently, the response of the one or more of the plurality of outputs is transmitted to the customer device when the corresponding validation is successful.

Abstract: A virtual assistant server determines one or more use cases of one or more utterances received from one or more customer devices. The virtual assistant server executes one or more dialog flows corresponding to the one or more use cases of the one or more utterances, where the executing comprises providing one or more inputs to a fine-tuned large language model comprising: use case context, customer context, conversation context, business rules, and exit conditions. The virtual assistant server receives one or more outputs corresponding to the one or more inputs from the fine-tuned large language model, and determines one or more responses based on the one or more outputs. Subsequently, the virtual assistant server provides the one or more responses to the one or more customer devices.