Abstract: A computer implemented method for generating a response to a received electronic message. A generative AI is prompted to analyse the electronic message and to generate intent data indicative of an intent associated with the electronic message and data-identifier data indicative of one or more predetermined data identifiers present in the electronic message. The electronic message is analysed to identify and retrieve client data associated with one or more parties associated with the electronic message. The method includes Verifying the retrieved client data includes data corresponding to the generated data-identifier data. If so, query an ERP system with the verified data-identifier data to extract ERP data corresponding to the predetermined data identifiers of which the data-identifier data is indicative, select a response-message template using the intent data, populate the selected response-message template with the ERP data, and present the populated response-message template to a user for approval.

Abstract: An example computer system for implementing a lifecycle of a model can include: one or more processors; and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to create: an orchestration service programmed to create a workflow for model execution; and a registration service programmed to provide governance for the workflow; wherein the orchestration service and the registration service are microservices, and the microservices communicate programmatically to facilitate the model execution.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for cue point discovery for content. For example, system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof are provided for using unsupervised machine learning to automatically classify cue points for episodic content. The cue points can be associates with an opening credits section, an end credits section, a recap section, or a behind-the-scenes section.

Abstract: Certain aspects of the present disclosure provide techniques for handling coordinated beamforming in wireless communications systems. An example method performed by a first access point (AP) generally includes outputting, for transmission to a second AP, at least one of a first indication that the first AP supports spatial reuse of transmission resources or a second indication that the first AP supports asymmetric coordinated beamforming (CBF); and outputting, for transmission, signaling to one or more stations (STAs) supported by the first AP without intent to form nulls directed toward other STAs supported by the second AP.

Abstract: A file system and a related method are presented. The file system includes a data storage including a plurality of data blocks; a merge index including a plurality of namespace entries, wherein the plurality of namespace entries include a plurality of blockmap entries and a plurality of local reference entries; a deduplication database including a plurality of deduplication indices and a plurality of global reference entries for a plurality of datasets; and an indexing system configured to generate the plurality of namespace entries and the plurality of global reference entries.

Abstract: A method includes receiving a message query from an entity identifier participating in a social network. The message query specifies one or more entities, one or more requirements, and one or more constraints. A set of message query parameters is generated based on the message query. A set of queries for a semantic graph of the social network is generated based on the set of message query parameters. The set of queries is applied to the semantic graph to obtain a set of query results. A message context of the entity identifier is determined based on the set of query results and the set of message query parameters. A set of messages from a message repository is determined based on the message context. The set of messages can be presented on a client computer associated with the entity identifier.

Abstract: Methods and apparatus are provided herein. For example, a method for maintaining a power conversion system can include transmitting, to a computing apparatus in operable communication with the power conversion system, an alert message indicating non-working microinverters and which of the non-working microinverters are under warranty and eligible for replacement; receiving, from the computing apparatus, a request for replacement for the non-working microinverters; and transmitting, to the computing apparatus, an acknowledgment message indicating that the request has been successfully received and replacements for the non-working microinverters are being shipped.

Abstract: A method of performing replication recovery operation in a disaggregated distributed storage system (DDSS) includes identifying an affected storage node included in the storage pool based on an occurrence of one or more predetermined conditions; selecting at least one replacement storage node from among one or more storage nodes included in the storage pool to recover replication data stored in the affected storage node; selecting at least one controller for performing a replication recovery operation from among one or more controllers included in the controller pool; and assigning one or more replication recovery jobs to the at least one controller; and receiving, by the replication recovery device, a notification from the at least one controller based on the one or more replication recovery jobs being completed.

Abstract: Disclosed are various embodiments for delegating administrator tasks from a primary administrator to a secondary administrator. A secondary administrator can create a temporary user account and cause a temporary client device to be enrolled with a management service. The temporary user and/or temporary client device can be provided with access to certain enterprise resources to which the secondary administrator is empowered to grant access.

Abstract: Systems and methods for dynamically skipping a presentation of a portion of frames to catch up to live based on a user selection is disclosed herein. For example, a streaming application generates a content item for live streaming where the content item comprises a plurality of frames. In response to determining that playing of the content item lags behind the live streaming of the content item, the streaming application presents a selectable option for a user input where the option comprises (a) catch up to live in a particular time period. In response to receiving the user input via a corresponding option to (a) catch up to live in the particular time period, the streaming application skips a presentation of a portion of the plurality of frames, such that the playing of the content item catches up to live in the particular time period.

Abstract: A computer implemented method of detecting hallucination in a large language model (LLM) output. A message is received. A prompt is generated for an LLM including the message and an instruction to generate an output identifying predetermined content in the message. The prompt is passed through an LLM to generate the output. The output is processed in accordance with a hallucination detection process to identify if any predetermined content identified by the LLM in the output is potentially hallucinated.

Abstract: A retention flip flop includes a first latch, a second latch, and a retention latch. The first and second latches are powered by an interruptible primary supply voltage while the retention latch is powered by a secondary supply voltage that is not interrupted. The retention flip-flop receives a single retention control signal that controls whether the flip-flop is in a standard mode or a retention mode. In the retention mode, the flip-flop clock signal is paused.

Abstract: A system and computer implemented method for generating validated prompt-templates for generating prompts for instructing large language models (LLMs) to perform specific tasks. An initial prompt is generated instructing an LLM to produce a plurality of candidate prompt-templates. The initial prompt includes an input data type to be included with a prompt generated using a candidate prompt-template, and output data to be produced by an LLM that has processed a prompt generated using a candidate prompt-template. The initial prompt is passed through an LLM to generate candidate prompt-templates. Test prompts are generated, each constructed from a candidate prompt-templates using input data from a set of pre-labelled input data having items of input data and corresponding labels. Each test prompt is passed through a further LLM to generate an output. The output is assessed, and candidate-prompt-templates are selected for subsequent generation of prompts.

Abstract: Described herein is a method of improving the inhibitory profile of Streptococcus salivarius comprising formulating the S. salivarius in a composition comprising an effective amount of a supplemental saccharide. Also described herein are compositions comprising Streptococcus salivarius and supplemental saccharide, methods of inhibiting microorganisms using such compositions, therapeutic formulations comprising such compositions, and methods of treating or preventing diseases using such compositions and therapeutic formulations.

Abstract: A system and computer implemented method for detecting hallucination in output of a generative AI system. User input is received specifying a query or task relating to information contained in a data object. A first vector representation of the user input and a second vector representation of the data object are generated. The first and second vector representations are compared to identify parts of the data object which match the query or task. An input is generated for a generative AI system with the user input and the parts of the data object. The input is input to a generative AI system. An output produced by the generative AI system is analysed to determine if the output contains information also present in the data object. If not, an error process is initiated. If so, the output is produced by the generative AI system.

Abstract: Described herein is a sensor probe for association with a portion of an aircraft. The sensor probe includes a microphone assembly having a portion configured to receive audio signals. The sensor probe further includes a nosecone associated with the microphone assembly. The nosecone assembly is configured to shield the portion of the microphone assembly from noise generated by direct impact of an airflow for a plurality of local flow angles. In some examples, the nosecone includes a tip and a body portion, wherein a diameter of the body portion of the nosecone is smaller than a length of the nosecone and the nosecone is configured to mitigate drag of the sensor probe in an airflow.

Abstract: An automated speech recognition (ASR) model includes a first encoder, a second encoder, and a decoder. The first encoder receives, as input, a sequence of acoustic frames, and generates, at each of a plurality of output steps, a first higher order feature representation for a corresponding acoustic frame in the sequence of acoustic frames. The second encoder receives, as input, the first higher order feature representation generated by the first encoder at each of the plurality of output steps, and generates, at each of the plurality of output steps, a second higher order feature representation for a corresponding first higher order feature frame. The decoder receives, as input, the second higher order feature representation generated by the second encoder at each of the plurality of output steps, and generates, at each of the plurality of time steps, a first probability distribution over possible speech recognition hypotheses.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for demographic predictions for content items. An example embodiment operates by assigning weights representing demographics to a first plurality of nodes of a predictive model and assigning predictive values representing predicted demographics to a second plurality of nodes of the model. Pairwise distances between the predictive values for the nodes of the second plurality of nodes and the weighted values of the first plurality of nodes may be calculated and the shortest calculated pairwise distances may be used to assign demographics for content items corresponding to nodes of the first plurality of nodes to content items corresponding nodes of the second plurality of nodes. When content is requested, a content item for which the same demographic has been assigned may be recommended to the requestor.

Abstract: A multi-mode display includes a mode selector to select one of a plurality of modes, each of the modes having a different light configuration, wherein one mode comprises a reduced color space mode, and one or more light sources controlled by the mode selector, the one or more light sources used to display content to a user with the multi-mode display.

Abstract: A computing and robotics learning platform includes a component ecosystem with gears, pucks, side plates and connectors configured to support the integration of globally available materials, such as rubber bands, pencils and popsicle sticks is described herein. Certain embodiments according to this disclosure include a platform device comprising a multi-layer processing structure capable of implementing student programs written in beginner or high-level programming languages without latency or performance degradation from processing tasks associated with low-level system functions, such as motor encoding.