Abstract: Sensor data can be collected from a first set of sensors associated with a first seat within a vehicle during a first vehicle stage. The outputs of each sensor of the first set of sensors can then be aggregated to calculate a probability of life within the first seat during the first vehicle stage.

Abstract: Provided are compounds of Formula (I): or a pharmaceutically acceptable salt thereof, wherein R1, R2A, R2B, R3, R4, and R5 are as defined herein. Also provided is a pharmaceutically acceptable composition comprising a compound of Formula (I), or a pharmaceutically acceptable salt thereof. Also provided are methods of using a compound of Formula (I), or a pharmaceutically acceptable salt thereof.

Abstract: Embodiments of a composition provide a line of defense against SARS coronaviruses that complements vaccines. The composition may be taken orally, intravenously, nasally, or inhaled by a healthy person to prevent a SARS infection or by a sick person infected by a SARS coronavirus for treatment. The composition is configured for molecular pattern recognition based targeting of the SARS coronavirus spike (S) protein and activating an innate immune response. The composition includes a lectin component. The composition may also include an optional flavonoid component, an optional calcium component, or both.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: An online concierge system receives a search query from a client device. The online concierge system identifies a set of matching items from an item database. The matching items correspond to the received search query. The online concierge system obtains, from a hierarchical item taxonomy, a category label for each matching item. The item taxonomy relates each item in the item database to one of a plurality of category labels. The online concierge system groups the matching items by the category labels for each of the matching items into one or more groups. The online concierge system generates instructions for a user interface. The user interface includes a scrollable list of one or more carousels. Each carousel includes a scrollable list of a group of the one or more groups. The online concierge system sends the instructions of the user interface to the client device for display.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Techniques for identifying and processing graymail are disclosed. An electronic message store is accessed. A determination is made that a first message included in the electronic message store represents graymail, including by accessing a profile associated with an addressee of the first message. A remedial action is taken in response to determining that the first message represents graymail.

Abstract: Provided are compounds of Formula (I): or a pharmaceutically acceptable salt thereof, wherein R1, R2A, R2B, R3, R4, and R5 are as defined herein. Also provided is a pharmaceutically acceptable composition comprising a compound of Formula (I), or a pharmaceutically acceptable salt thereof. Also provided are methods of using a compound of Formula (I), or a pharmaceutically acceptable salt thereof.

Abstract: An anti-theft protection disablement solution is provided to authorized users and authorized customer service representatives. An anti-theft protection disablement request message from a recovery application on a user device may be received via a cloud messaging service or a binary messaging service. In turn, an anti-theft protection disablement message may be transmitted to the user device via the cloud messaging service or the binary messaging service when the anti-theft protection disablement request message is authenticated. The anti-theft protection disablement message may disable an anti-theft protection function on the user device that calls for an input of an anti-theft protection authentication credential for a factory reset of the user device.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for dynamic service response are disclosed. In one aspect, a method includes the actions of receiving a request to access a first computing service. The actions further include, in response to receiving the request to access the computing service, accessing first status data that indicates a first status of the first computing service and second status data that indicates a second status of the first computing service. The actions further include, based on the first status data and the second status data, generating instructions for the first computing service to respond to the request. The actions further include providing the first computing service the instructions for responding to the request.

Abstract: Techniques for identifying and processing graymail are disclosed. An electronic message store is accessed. A determination is made that a first message included in the electronic message store represents graymail, including by accessing a profile associated with an addressee of the first message. A remedial action is taken in response to determining that the first message represents graymail.

Abstract: The techniques described herein involve determining a context-based Quality of Experience based upon client device Quality of Experience diagnostic files in combination with client device equipment dynamics. Client device Quality of Experience (QoE) diagnostic files may indicate a reduced QoE at a client device, such as reduced signal strength or an increased number of dropped packets. User behavior during a reduced QoE event may be reflected as equipment dynamics, which may be included in equipment dynamics files. A service provider may receive information from the client device and may analyze the information to determine, with an increased confidence level, that the user device experiences a reduced QoE. Network resources may be allocated in response to the reduced QoE determination, thereby increasing a functioning of the computing network and an associated device's Quality of Experience.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Techniques for identifying and processing graymail are disclosed. An electronic message store is accessed. A determination is made that a first message included in the electronic message store represents graymail, including by accessing a profile associated with an addressee of the first message. A remedial action is taken in response to determining that the first message represents graymail.

Abstract: Provided are compounds of Formula (I): or a pharmaceutically acceptable salt thereof, wherein R1, R2A, R2B, R3, R4, and R5 are as defined herein. Also provided is a pharmaceutically acceptable composition comprising a compound of Formula (I), or a pharmaceutically acceptable salt thereof. Also provided are methods of using a compound of Formula (I), or a pharmaceutically acceptable salt thereof.