Abstract: A heat exchanger includes a fin set formed by a plurality of fins stacked together and a refrigerant pipe set passing through the fin set. The fin set includes a connection member, and a first fin member and a second fin member connected to each other via the connection member. An included angle between the first fin member and the second fin member is larger than zero. The first fin member and the second fin member are arranged at two sides, respectively, of a notch of the fin set. The notch is located at an air input side and/or an air output side of the connection member.

Abstract: Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.

Abstract: Systems and techniques are described that enable users to interact and share content through a social network application and/or service with other users. In some examples, a social networking system determines that at least two applications are installed on a device and are both useable to share content between a first account and one or more contact accounts. The social networking system may detect an event that causes a change in a badge count, may determine which of the applications to use to display the change, and may output the badge count change to the determined application(s).

Abstract: Systems and techniques are described that enable users to interact and share content through a social network application and/or service with other users. A social networking system may determine that a first application and a second application are installed on a device and are both useable to share content between a first account and one or more contact accounts. The social networking system may receive content associated with the first application and the second application and may generate a notification associated with the content. The social networking system may determine which of the first application or the second application to use to present the notification, and may output the notification to the determined first application and/or the second application.

Abstract: Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.

Abstract: Systems and techniques are described that enable users to interact and share content through a social network application and/or service with other users. In some examples, a social networking system determines that at least two applications are installed on a device and are both useable to share content between a first account and one or more contact accounts. The social networking system may detect an event that causes a change in a badge count, may determine which of the applications to use to display the change, and may output the badge count change to the determined application(s).

Abstract: Systems and techniques are described that enable users to interact and share content through a social network application and/or service with other users. A social networking system may determine that a first application and a second application are installed on a device and are both useable to share content between a first account and one or more contact accounts. The social networking system may receive content associated with the first application and the second application and may generate a notification associated with the content. The social networking system may determine which of the first application or the second application to use to present the notification, and may output the notification to the determined first application and/or the second application.

Abstract: Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.

Abstract: Systems, methods, and non-transitory computer-readable media can display a collection of media content items. A pressure-based user interaction is received via a graphical user interaction, the pressure-based user interaction identifying a first media content item of the collection of media content items. A preview pane displaying the first media content item is displayed in response to the pressure-based user interaction. A position-based user interaction is received via the graphical user interface. A second media content item is displayed in the preview pane in response to the position-based user interaction.

Abstract: Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.