Abstract: A method for providing a hybrid AI and human electronic communication interface includes receiving a first electronic transmission comprising a user query from a user device. The method further includes automatically generating, by processing the user query by a set of AI models, an automatic response to the user query. The method further includes electronically transmitting the automatic response to the user device. The method further includes receiving, from the user device, a second electronic transmission comprising a user input in response to the automatic response. The method further includes determining, based at least in part on processing the user input, that a set of criteria is met; and in accordance with the determination that the set of criteria are met, automatically instantiating an electronic communication connection between the user device and a second user device.

Abstract: A wheat variety designated KS12D03-1 is disclosed, including plants and seeds thereof. KS12D03-1 is a durum wheat variety with a winter growth habit making it suitable for production in western Kansas and the High Plains. Methods for producing a wheat plant produced by crossing the variety KS12D03-1 with another wheat plant, and hybrid wheat seeds and plants produced by crossing the variety KS12D03-1 with another wheat line or plant, and the creation of variants by backcrossing, mutagenesis or transformation of variety KS12D03-1 are disclosed. Methods for producing other wheat varieties or breeding lines derived from wheat variety KS12D03-1 and to wheat varieties or breeding lines produced by those methods are also provided.

Abstract: The present invention relates to bioinformatics methods of in silico validation of circRNA junctions and selection of circRNA junctions for further validation, more particularly detecting sequence reads supporting circRNA junction in a highly computationally efficient manner.

Abstract: Embodiments of the disclosed technologies include generating a first thread classification prompt based on a first thread portion of an online dialog involving a user of a computing device, sending the first thread classification prompt to a first large language model, receiving a first thread classification generated and output by the first large language model based on the first thread classification prompt, formulating a plan execution prompt based on the first thread classification, sending the plan execution prompt to a second large language model, receiving a second thread portion generated and output by the second large language model based on the plan execution prompt and the online dialog, and generating a label for a third thread portion of the online dialog.

Abstract: Techniques are disclosed relating to eviction control for cache lines that store register data. In some embodiments, memory hierarchy circuitry is configured to provide memory backing for register operand data in one or more cache circuits. Lock circuitry may control a first set of lock indicators for a set of registers for a first thread, including to assert one or more lock indicators for registers that are indicated, by decode circuitry, as being utilized by decoded instructions of the first thread. The lock circuitry may preserve register operand data in the one or more cache circuits, including to prevent eviction of a given cache line from a cache circuit based on an asserted lock indicator. The lock circuitry may clear the first set of lock indicators in response to a reset event. Disclosed techniques may advantageously retain relevant register information in the cache with limited control circuit area.

Abstract: The concepts and technologies disclosed herein are directed to time-aware blockchain staged regulatory control of Internet of Things (“IoT”) data. A federation platform can receive a registration request from an enterprise edge platform to register a blockchain identifier for publication of public data on a public blockchain. The federation platform can determine if the registration request contains any restricted data parameters. In response to determining that the registration request does not contain any restricted data parameters, the federation platform can query a security module to obtain an encryption key. The federation platform can receive the encryption key from the security module. The federation platform can store the encryption key in association with the blockchain identifier and an enterprise edge platform ID that uniquely identifies the enterprise edge platform.

Abstract: A system for automatically generating responses to user queries includes one or more processors, operable when executing instructions to: receive a query from a user, determine a first set of similarity scores between the query and a plurality of stored queries stored in a data store, and determine whether a first similarity score of the first set of similarity scores meets a first threshold. In accordance with a determination that the first similarity score meets the first threshold, the processors are further operable to obtain a set of case information for the current case; retrieve case information for at least one precedent case; determine a second set of similarity scores between the current case and the at least one precedent case; determine whether a second similarity score of the second set of similarity scores meets a second threshold; and generate a response to the query.

Abstract: Example embodiments described herein therefore relate to an object-model based event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

Abstract: Provided is a method for generating a personalized content suggestion in response to a query from a user. The method may be performed by a system comprising one or more processors. The method may include receiving the query from the user, generating one or more user parameters associated with the user, determining a predicted content topic of the query, and generating the content suggestion based on the predicted content topic and the one or more user parameters.

Abstract: Provided is a method for generating a knowledge graph for a topic. First, a set of documents may be received. A user may then provide an indication of exemplary entities associated with a topic of interest. Then, using one or more artificial intelligence models, a plurality of textual entities may be extracted from the documents. A quality level of each extracted textual entity may be determined. Each quality level may indicate a degree of similarity between a textual entity and each exemplary entity of the one or more exemplary entities. Next, a plurality of high-quality textual entities may be identified and categorized according to one or more sub-topics associated with the topic. Connection information indicating relationships between the sub-topics may be determined. Finally, a knowledge graph for the topic that represents the sub-topics in the documents and the relationships between said sub-topics may be generated.

Abstract: Semiconductor structures and methods for forming the same are provided. The semiconductor structure includes a substrate and a fin protruding from the substrate in a first direction. In addition, the fin includes a well region and an anti-punch through region over the well region. The semiconductor structure further includes a barrier layer formed over the anti-punch through region and channel layers formed over the fin and spaced apart from the barrier layer in the first direction. The semiconductor structure further includes a first liner layer formed around the fin and an isolation structure formed over the first liner layer. The semiconductor structure further includes a gate wrapping around the channel layers and extending in a second direction. In addition, a top surface of the barrier layer is higher than a top surface of the first liner layer in a cross-sectional view along the second direction.

Abstract: A composition for use in enhancing efficacy of immunotherapy for colorectal cancer in a subject in need thereof includes an effective amount of (1) any one or more of Lactobacillus gallinarum. Roseburia intestinalis, and Streptococcus salivarius K12; and (2) a physiologically acceptable excipient.

Abstract: Nanoparticle compositions described herein comprise combinations of prodrugs of therapeutic agents that achieve enhanced therapeutic effects as compared to those observed when combinations of free forms of these therapeutic agents are administered.

Abstract: Example embodiments described herein therefore relate to an event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

Abstract: A semiconductor device includes a first transistor device of a first type. The first transistor includes first nanostructures, a first pair of source/drain structures, and a first gate electrode on the first nanostructures. The semiconductor device also includes a second transistor device of a second type formed over the first transistor device. The second transistor device includes second nanostructures over the first nanostructures, a second pair of source/drain structures over the first pair or source/drain structures, and a second gate electrode on the second nanostructures and over the first nanostructures. The semiconductor device also includes a first isolation structure between the first and second nanostructures. The semiconductor device further includes a second isolation structure in contact with a top surface of the first pair of source/drain structures. The semiconductor device also includes a seed layer between the second isolation structure and the second pair of source/drain structures.

Abstract: A method for reducing stress induced defects in heterogeneous epitaxial interfaces of a semiconductor device is disclosed. The method includes forming a fin structure with a fin base, a superlattice structure on the fin base, forming a polysilicon gate structure on the fin structure, forming a source/drain (S/D) opening within a portion of the fin structure uncovered by the polysilicon gate structure, modifying the first surfaces of the first layers to curve a profile of the first surfaces, depositing first, second, and third passivation layers on the first, second, and third surfaces, respectively, forming an epitaxial S/D region within the S/D opening, and replacing the polysilicon gate structure with a metal gate structure. The superlattice structure includes first and second layers with first and second lattice constants, respectively, and the first and second lattice constants are different from each other.

Abstract: A system for generating and inferencing using enterprise knowledge graphs is provided. The system receives first input data related to one or more entities from one or more data sources. The system extracts a first set of data components from the first input data and determines, based upon the extracted data components, a second set of data components. The system identifies one or more relationships between the first set of data components and the second set of data components and generate a knowledge graph comprising a plurality of nodes. A first node of the knowledge graph can represent a first respective data component of the first set of data components and a second node of the knowledge graph can represent a second respective data component of the second set of data components. The first node can be associated with the second node based on an identified relationship between the nodes.

Abstract: Provided herein are methods and systems for determining a roll forward amount. The method can include identifying a starting balance, extracting reconciled data values from a database, each reconciled data value having a confidence score that indicates a confidence level that a reconciled data value of a first dataset is the same as a corresponding reconciled data value of a second dataset. The method can include identifying a first subset of the reconciled data values that are a first type and a second subset of the reconciled data values that are a second type, and determining a roll forward amount based on the starting balance, the first subset, and the second subset.

Abstract: Provided herein are methods and systems for identifying a related data values in a plurality of datasets. The method can include extracting data from the plurality of datasets, identifying potential linking categories, and determining a validity of the potential linking categories. One or more linking categories can be selected from the potential linking categories based on the validity, and related data values can be identified between the plurality of datasets based on the selected linking categories. Also provided herein are methods and systems for classifying data values as reconciled or non-reconciled. The method can include identifying a plurality of related data values in a plurality of datasets. For each of the plurality of related data values, a similarity score and confidence score can be determined, and the plurality of related data values can be classified as reconciled or non-reconciled based on the similarity score and/or the confidence score.

Abstract: The subject technology uses context models to improve the performance of language models. The technology may introduce one or more context insights into the prompts for language models to personalize the outputs of the language models for particular users. The context insights may include consumer dimensions determined based on identity data for a user. The consumer dimensions may be generated using machine learning techniques that are applied to consumer data, event data, and transaction data. A unique context model may be trained for each consumer dimension to increase the accuracy and specificity of the context models. The personalized content generated by the language models may be included in a piece of content published on a publication network. The performance the language models may be optimized based on the performance of the published content.