Abstract: The present invention relates to polypeptide and peptide vaccine compositions and methods that reduce methane and/or hydrogen production in animals. The present invention also relates to the treatment of diseases that are associated with methanogens.

Abstract: A cyber security system includes an importance node module to compute and use graphs to compute an importance of a node based on factors including a hierarchy and a job title of the user, aggregated account privileges from network domains and a level of shared resource access for the user. The graphs are supplied into an attack path modeling component to understand an importance of the network nodes and determine key pathways within the network that a cyber-attack would use, via a modeling the cyber-attack on a simulated and a virtual device version of the network. The cyber security system provides an intelligent prioritization of remediation action to a remediation suggester module to analyze results of the modeling the cyber-attack for each node and suggest how to perform intelligent prioritization of remediation action on a network node in one of a report and an autonomous remediation action.

Abstract: The present invention relates to cell-based vaccine compositions and methods that reduce methane and/or hydrogen production in animals. The present invention relates to the treatment of diseases that are associated with methanogens. The present invention also relates to methods of growing hydrogenotrophs in safe anaerobic conditions.

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: A method of coordinating real-time experiences of a realm among members of a group of users, the group of users including an administrative user and at least one participating user, is provided. The method includes transmitting by a server from a computing device of the administrative user, to a computing device of a first participating user of the group, in a real time session that allows the first participating user to experience the realm in real time, (a) data characterizing a series of locations in the realm, the series of locations comprising a first location and a second location, wherein the first location is associated with a first panoramic image and the second location is associated with a second panoramic image, and (b) executable code.

Abstract: A system for an electric machine associated with a gas turbine engine of a vehicle includes a shield to be coupled to the electric machine. The shield includes a first wall opposite a second wall with a passage defined between the first wall and the second wall. The first wall defines an inlet port at a first end opposite an outlet port defined between the first wall and the second wall at a second end. The inlet port and the outlet port are in communication with the passage. The system includes an airfoil coupled to the shield proximate the second end to extend from the shield. The airfoil defines an airfoil inlet at a leading edge that is in communication with an interior of the airfoil. The interior of the airfoil is in communication with the inlet port and is to couple the electric machine to the gas turbine engine.

Abstract: A tracking system passively tracks and records searches conducted by actual search engine users. The recorded data for each search event preferably includes the search query submitted, the search engine used, the search result item (e.g., web page) selected, the position (e.g., page number) of this item, and the user's IP address. The collected data is aggregated and analyzed to generate data regarding the search queries used to locate and access particular destinations (e.g., web pages and sites). This data may be used for various purposes, such as (1) to generate reports showing, e.g., how users reach a particular destination from different search engines and geographic locations, (2) to select content to display on a destination page, such that the content is relevant to search queries commonly used to locate that page, and (3) to update the database of one search engine to reflect searches conducted on other search engines.

Abstract: Methods and systems for transcript-based bot creation are provided. Information may be stored in memory regarding different automation templates associated with different statement types. A transcript may be imported that includes statements, which may be analyzed and classified as one or more of the different statement types. The imported transcript may be displayed in a graphic user interface with its statements displayed in accordance with the automation templates associated with the respective statement type. User input may be received, including modification input that modifies at least one automation template associated with at least one statement of the displayed transcript designated as an integration point. A custom bot may thereafter be generated based on the modification input and configured to conduct a conversation based on the imported template and to initiate a workflow at the integration point in accordance with the modified automation template.

Abstract: Systems, methods, devices, instructions, and other examples are described for natural language processing. One example includes accessing natural language processing general encoder data, where the encoder data is generated from a general-domain dataset that is not domain specific. A domain specific dataset is accessed and filtered encoder data using a subset of the encoder data is generated. The filtered encoder data is trained using the domain specific dataset to generate distilled encoder data, and tuning values for the distilled encoder data are generated to configure task outputs associated with the domain specific dataset.

Abstract: In an embodiment, an apparatus is described. The apparatus comprises an appliance extension configured to perform functions with i) a monitoring module configured to monitor metrics and receive alerts regarding potential cyber threats on a system including an email system, ii) an investigative module configured to retrieve the metrics and alerts, and iii) a remote response module configured observe the metrics and alerts and send one or more control signals to an autonomous response module to take one or more actions to counter one or more detected cyber threats on the system remotely from the appliance extension.

Abstract: The present disclosure relates generally to systems and methods for analyzing intent. Intents may be analyzed to determine to which device or agent to route a communication. The analyzed intent information can also be used to formulate reports and analyze the accuracy of the identified intents with respect to the received communication.

Abstract: An autonomous email-report composer composes a type of report on cyber threats that is composed in a human-readable format with natural language prose, terminology, and level of detail on the cyber threats aimed at a target audience. The autonomous email-report composer cooperates with libraries with prewritten text templates with i) standard pre-written sentences written in the natural language prose and ii) prewritten text templates with fillable blanks that are populated with data for the cyber threats specific for a current report being composed, where a template for the type of report contains two or more sections in that template. Each section having different standard pre-written sentences written in the natural language prose.

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 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: The present disclosure provides compositions and methods for reducing emissions of deleterious atmospheric gases and/or precursors thereof from a flooded ecosystem comprising: one or more small molecules that reduce the production of one or more deleterious atmospheric gases and/or precursors thereof and one or more agriculturally suitable carriers.

Abstract: An autonomous email-report composer composes a type of report on cyber threats that is composed in a human-readable format with natural language prose, terminology, and level of detail on the cyber threats aimed at a target audience. The autonomous email-report composer cooperates with libraries with prewritten text templates with i) standard pre-written sentences written in the natural language prose and ii) prewritten text templates with fillable blanks that are populated with data for the cyber threats specific for a current report being composed, where a template for the type of report contains two or more sections in that template. Each section having different standard pre-written sentences written in the natural language prose.

Abstract: A cyber-threat defense system for a network including its email domain protects this network from cyber threats. Modules utilize machine learning models as well communicate with a cyber threat module. Modules analyze the wide range of metadata from the observed email communications. The cyber threat module analyzes with the machine learning models trained on a normal behavior of email activity and user activity associated with the network and in its email domain in order to determine when a deviation from the normal behavior of email activity and user activity is occurring. A mass email association detector determines a similarity between highly similar emails being i) sent from or ii) received by a collection of two or more individual users in the email domain in a substantially simultaneous time frame. Mathematical models can be used to determine similarity weighing in order to derive a similarity score between compared emails.

Abstract: Systems, methods, devices, instructions, and other examples are described for natural language processing. One example includes accessing natural language processing general encoder data, where the encoder data is generated from a general-domain dataset that is not domain specific. A domain specific dataset is accessed and filtered encoder data using a subset of the encoder data is generated. The filtered encoder data is trained using the domain specific dataset to generate distilled encoder data, and tuning values for the distilled encoder data are generated to configure task outputs associated with the domain specific dataset.

Abstract: An endpoint agent extension of a cyber defense system for email that includes modules and machine learning models. An integration module integrates with an email client application to detect email cyber threats in emails in the email client application as well as regulate emails. An action module interfaces with the email client application to direct autonomous actions against an outbound email and/or its files when a cyber threat module determines the email and/or its files (a) to be a data exfiltration threat, (b) to be both malicious and anomalous behavior as compared to a user's modeled email behavior, and (c) any combination of these. The autonomous actions can include actions of logging a user off the email client application, preventing the sending of the email, stripping the attached files and/or disabling the link to the files from the email, and sending a notification to cyber security personnel regarding the email.