Abstract: Combining a large language model (LLM) with rules engine processing includes obtaining a document, extracting a set of attributes from the document to obtain a set of extracted attributes, and selecting, from government rules, a set of government rules based on the set of extracted attributes. The method further includes the LLM processing the set of extracted attributes and the set of government rules to obtain an LLM identified class for the document. A rules engine applying software rules corresponding to the government rules processes the set of extracted attributes according to the LLM identified class to obtain a government rule defined amount. The government rule defined amount is presented.

Abstract: Aspects of the disclosure provide a method for profile matching including receiving a first user input comprising one or more assistant attributes; generating an assistant profile; matching the assistant profile to a target user profile and a task; receiving interaction data between the assistant user and a target user; receiving a second user input comprising feedback about the assistant user completing the task; generating a prompt comprising a set of instructions for a language model to generate a feature set associated with the assistant user; providing the prompt, the first user input, the interaction data, and the second user input to the language model; receiving the feature set associated with the assistant user from the language model; generating an updated assistant profile; and matching the updated assistant profile with a new target user profile associated with a new target user and a new task.

Abstract: The present disclosure provides a bioprocess for the simultaneous production of Polyhydroxybutyrate (PHB) and Violacein pigment in a single fermentation using a Himalayan bacterial isolate Iodobacter sp. PCH 194, having accession number MTCC 25171. PHB has plastic properties, renewable origin and bio-degradable nature. It can be used for various packaging applications replacing the petrochemicals-based plastics, thus providing greener alternative to environment. Violacein pigment has anti-oxidant, anti-tumoral, anti-bacterial, and photo-protective properties and can be used in cosmetics and pharmaceuticals applications. The present disclosure provides production process of two valuable products i.e. PHB and violacein pigment in a single bioprocess, therefore, is economically attractive, time saving, and commercially feasible process.

Abstract: A cleaning apparatus incudes a plurality of tubes with angled orifices. An angled liquid stream is directed through the orifices to impinge on a surface of a substrate and clean the surface as the substrate moves in one direction through the space between a pair of tubes. An angled gas stream is then directed through the orifices to impinge on the surface of the substrate and dry the surface as the substrate moves in the opposite direction between the pair of tubes.

Abstract: A method including receiving a user-specific query. User data is extracted from a user-specific data source and converted into a graph data structure that defines relationships between data elements contained in the user data. The graph data structure is stored in a data schema. A prompt is constructed for a language model. Constructing includes adding, to the prompt, the graph data structure such that, when executed, the language model processes both the relationships and the data elements in the graph data structure. Constructing also includes adding, to the prompt, a first command to reference a context including context data stored in the data schema. Constructing also includes adding, to the prompt, a second command to generate an output from the context. The output is indirectly related to the user data. The language model is executed with the prompt to generate the output. The output is returned.

Abstract: The present disclosure relates to a method and system for generating a user specific content. The method comprises receiving, by a processing unit, a user specific input data, a base content, and an e-commerce data. The method further comprises extracting, by the processing unit, a set of features from the user specific input data. Further, the method comprises altering, by the processing unit, the base content based on the e-commerce data and the set of features. Furthermore, the method comprises generating, by the processing unit, the user specific content based on the altering, wherein the user specific content comprises at least one of a user specific visual media, and a user specific audio-visual media.

Abstract: Embodiments of apparatuses, methods, and systems for highly scalable accelerators are described. In an embodiment, an apparatus includes an interface to receive a plurality of work requests from a plurality of clients and a plurality of engines to perform the plurality of work requests. The work requests are to be dispatched to the plurality of engines from a plurality of work queues. The work queues are to store a work descriptor per work request. Each work descriptor is to include all information needed to perform a corresponding work request.

Abstract: A method for preparing a completed electronic form from an initial electronic form that is initially unknown and using form data that initially is unavailable. A first language model is executed on a first prompt to generate a number of questions related to a number of electronic forms. A number of answers to the questions are received. The initial electronic form is, using the answers, identified from among the electronic forms. A structured language data structure storing data including values of fields of the initial electronic form is generated from the answers. A second language model is executed on a second prompt to generate a mapping schema that defines a mapping of the values in the structured language data structure to the fields of the initial electronic form. The completed electronic form is generated by applying, according to the mapping schema, the values to the initial electronic form.

Abstract: Because Kubernetes clusters can be ephemeral, backing up in-cluster data to storage outside the cluster is important. Prior art solutions used the cluster's API server, which facilitates communications with the cluster control plane, to transfer backup data through the API server. However, the API server as a data transfer node has resiliency weaknesses and can slow down backup job performance. The present solution provides a more streamlined and scalable approach, which circumvents the API server and additionally includes more robust error checking, log capture, and realtime job monitoring to provide improved data protection resilience. The disclosed approach employs a “sponsor” data agent outside the cluster and temporarily deploys a specialized backup resource within the cluster during a backup job, such as an enhanced File System Data Agent and/or a lightweight Kubernetes File Client, both of which present substantial performance and resiliency advantages over the API server.

Abstract: A method for automatically generating a response to a current request for information about an electronic document associated with a particular domain of knowledge includes interpreting, using a first language processing machine learning model, the electronic document to obtain interpreted data. The method includes selecting, based on the current request, a subset of feedback data included in a first knowledge store and selecting, based on the current request, a subset of domain data stored in a second knowledge store. The method includes injecting a prompt into the first language processing machine learning model or a second language processing machine learning model based on the current request, the subset of feedback data, the subset of domain data, and the interpreted data. The method includes generating, by the first language processing machine learning model or the second language processing machine learning model, the response to the request based on the injecting.

Abstract: A method is disclosed herein. The method includes generating, by the test manager engine utilizing an artificial intelligence model, a textual description of a product or a feature of the product from the first inputs. The method includes receiving, by the test manager engine via a prompt, second inputs in the prompt that alter the textual description to a test description of the product or the feature of the product. The method includes automatically generating, by the test manager engine, test cases for the product or the feature of the product from the test description.

Abstract: Data protection resources are automatically scaled to the needs of data source(s) in an application orchestrator computing environment, such as a cluster in a Kubernetes deployment. The approach is adaptable to data sources in production clusters or application suites that are not application orchestrator deployments, such as a cloud-based database-as-a-service (DBaaS). A data storage management system protects cluster-based data with an elastic number of data protection resources (e.g., data agents, media agents), which are deployed on demand. The number of data protection resources deployed for a particular job are appropriate to the workload(s) at present and depend on a variety of scaling factors. In some embodiments, data protection resources are deployed within the same cluster as the data sources.

Abstract: Methods and apparatus relating to scalable access control checking for cross-address-space data movement are described. In an embodiment, a memory stores an Inter-Domain Permissions Table (IDPT) having a plurality of entries. At least one entry of the IDPT provides a relationship between a target address space identifier and a plurality of requester address space identifiers. A hardware accelerator device allows access to a target address space, corresponding to the target address space identifier, by one or more of requesters, corresponding to the plurality of requester address space identifiers, respectively, based at least in part on the relationship provided by the at least one entry of the IDPT. Other embodiments are also disclosed and claimed.

Abstract: Aspects of the present disclosure relate to automatic virtual process completion assistance. Embodiments include receiving data associated with a given virtual process. Embodiments further include retrieving, based on a semantic similarity comparison involving the received data and embedding representations of a set of rules, one or more rules. Embodiments further include retrieving one or more knowledge graphs of a set of knowledge graphs based on the received data, wherein each respective knowledge graph of the set of knowledge graphs represents a respective historical virtual process instance. Embodiments further include providing an input based on the received data, the retrieved rules, and the retrieved knowledge graphs to a machine learning model that is configured to evaluate virtual processes. Embodiments further include generating, using the machine learning model, an evaluation of the given virtual process based on the received data, the retrieved rules, and the retrieved knowledge graphs.

Abstract: A system for automated tax return analysis that streamlines the process of examining and optimizing tax returns. The system employs a partial tax return interpretation engine that uses natural language processing to analyze tax data from multiple years. This data is fed into a genAI module, which compares the processed information and identifies changes over time. The system's knowledge store, containing up-to-date tax rules, works in tandem with a tax situation identifier to cross-reference the detected changes and pinpoint relevant tax situations. Based on these findings, a deductions identifier determines applicable tax deductions. A report generator produces a human-readable document outlining the detected tax situations and potential deductions.

Abstract: Apparatus and method for high-performance page fault handling. For example, one embodiment of an apparatus comprises: one or more accelerator engines to process work descriptors submitted by clients to a plurality of work queues; fault processing hardware logic associated with the one or more accelerator engines, the fault processing hardware logic to implement a specified page fault handling mode for each work queue of the plurality of work queues, the page fault handling modes including a first page fault handling mode and a second page fault handling mode.

Abstract: A switching unit (200) including a membrane (202), a housing (210), at least one rotary switch (204), at least one knob (216), and a sealing member (214). The membrane (202) defines a first opening (230) adapted to receive a portion of at least one rotary switch (204). The housing (210) defines a second opening adapted to be aligned with the first opening (230) to receive the portion of the at least one rotary switch (204). The at least one rotary switch (204) is disposed in the housing (210). The at least one knob (216) mounted on the at least one rotary switch (204). The sealing member (214) is positioned on the housing (210) in the second opening (231), around the at least one rotary switch (204), between the at least one knob (216) and the housing (210).

Abstract: Aspects of the present disclosure relate to automated evaluation of electronic datasets. Embodiments include receiving one or more rules related to evaluation of electronic datasets. Embodiments further include generating, via an embedding model, embedding representations of the one or more rules. Embodiments further include receiving an electronic dataset. Embodiments further include identifying a rule that is applicable to the electronic dataset based on using a machine learning model configured to search the embedding representations of the one or more rules based on the electronic dataset. Embodiments further include evaluating, using the machine learning model or an additional machine learning model, the electronic dataset based on the identified rule.

Abstract: A system comprises a physical processor to execute a virtual machine manager to run, on a logical core, a virtual machine including a guest user application and a virtual CPU. Circuitry coupled to an external device is to receive an interrupt request from the external device for the guest user application, locate a first interrupt data structure associated with the guest user application, generate a first interrupt with the first interrupt data structure based on a first interrupt vector for the interrupt request, locate a second interrupt data structure associated with the virtual CPU, and generate a first notification interrupt for the virtual CPU with the second interrupt data structure based on a first notification vector in the first interrupt data structure. The circuitry may generate a second notification interrupt for the logical core using a second notification vector and a logical core identifier from the second interrupt data structure.