Abstract: An information interaction method, a computer-readable storage medium and a communication terminal are disclosed. The information interaction method is applied to a local terminal, and includes: in a process of a video call with a remote terminal, in response to a first interaction instruction, performing split-screen display on a display screen of the local terminal to form at least a first split screen for displaying an interface of the video call and a second split screen for displaying a shopping interface; in response to a first selection instruction, acquiring an image of a commodity corresponding to the first selection instruction, with the first selection instruction being an instruction of selecting the commodity from the shopping interface; and displaying a synthesized image obtained by performing image synthesis on the image of the commodity and at least a part of images in the interface of the video call.

Abstract: Disclosed are various approaches for using drag-and-drop to open local files remotely. In one approach, a client device renders a user interface including a first indicium corresponding to a local file of the client device and a second indicium corresponding to a remotely executed application. A drag-and-drop action of the first indicium relative to the second indicium is detected. Responsive to the drag-and-drop action, the remotely executed application opens a copy of the local file.

Abstract: Embodiments of a method and apparatus for communications are disclosed. In an embodiment, a communications device includes a controller configured to generate a control frame carrying security related information for frame integrity protection in different locations in the control frame with other information in between the security related information and a wireless transceiver configured to wirelessly transmit the control frame to a second communications device.

Abstract: The present disclosure provides a call method and terminal, and a non-transitory computer-readable storage medium. The call method includes: receiving or initiating, by a first terminal, a call request to establish a call with a second terminal; detecting, by the first terminal, at least one of the following: a current task being executed by the first terminal, whether there is one or more third terminals capable of assisting in the call, and a current task being executed by a third terminal; and selecting whether a display interface of the first terminal displays a call assisting option according to the current task being executed by the first terminal and/or the current task being executed by the third terminal; wherein the call assisting option is used to prompt a user to select to answer the call with the second terminal through the assistance of the third terminal.

Abstract: A first communication device transmits first bitmap length capability information for the first communication device regarding block acknowledgment procedures, and receives second bitmap length capability information for a second communication device regarding block acknowledgment procedures. The first communication device performs a block acknowledgment procedure, including setting a block acknowledgment transmission window size for the block acknowledgment procedure based on the second bitmap length capability information for the second communication device, and a determination of whether a block acknowledgement frame used in the block acknowledgment procedure is a compressed block acknowledgement (C-BA) frame or a multi-station (multi-STA) block acknowledgement frame.

Abstract: One example discloses a wireless Access Point (AP) device, within a wireless local area network (WLAN), including: a controller configured to generate a reserve slot time trigger frame to a selected set of wireless devices; wherein the controller is configured to be coupled to an antenna; wherein the antenna is configured to transmit the reserve slot time trigger frame over a physical media to the selected set of user station devices (STAs) and exchange traffic with the selected set of STAs over the physical media; wherein the reserve slot time trigger frame is configured to reserve a slot time on the physical media; and wherein the controller is configured to transmit a burst of downlink (DL) traffic from the AP device during the slot time.

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: This disclosure concerns release mechanisms for medical implants, particularly embolic coils and the like, which utilize bulbous elements and receiving elements to constrain the bulbous elements. In some cases, the receiving elements are sized and shaped to help constrain the bulbous element axially and/or radially, and may work in concert with constraining elements and/or release wires that are optionally moveable independently of the receiving elements.

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons.

Abstract: Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons.

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: The present disclosure relates to the field of embolic coils. More specifically, the present disclosure relates to systems and methods for actively releasing an embolic coil from a delivery device into a body lumen of a patient. Delivery systems of the present disclosure may allow an embolic coil to be advanced external to the distal end of a delivery catheter without being automatically released, thereby allowing the embolic coil to be repositioned prior to deployment.

Abstract: The present disclosure relates to embolic coils that eliminate kick-back into a parent vessel by providing a proximal end that retracts following deployment within the vasculature. Also disclosed are methods of making such coils, delivery systems that comprise such coils, and methods of delivering such coils to a patient.

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: This disclosure concerns release mechanisms for medical implants, particularly embolic coils and the like, which utilize bulbous elements and receiving elements to constrain the bulbous elements. In some cases, the receiving elements are sized and shaped to help constrain the bulbous element axially and/or radially, and may work in concert with constraining elements and/or release wires that are optionally moveable independently of the receiving elements.

Abstract: This disclosure concerns release mechanisms for medical implants, particularly embolic coils and the like, which utilize bulbous elements and receiving elements to constrain the bulbous elements. In some cases, the receiving elements are sized and shaped to help constrain the bulbous element axially and/or radially, and may work in concert with constraining elements and/or release wires that are optionally moveable independently of the receiving elements.

Abstract: Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons.

Abstract: A blending system includes a blender base and a container. The blender base includes a housing that houses a motor. The container is attachable to the blender base. The blending system includes a user device that communicates with the blender base. The user device may communicate with a remote computing device. The user device generates instructions and recipes for the blender base.