Systems and methods are provided for providing a user interface for surfacing action items. The user interface can surface action items to be performed by a user. The action items can be provided in a circle scheme or a table scheme. The user can select an action item, and in response, the user interface can provide additional information associated with the action item. The user interface can also provide various functionalities associated with performing a task corresponding to the action item.

Systems and methods are provided for providing a user interface for surfacing action items. The user interface can surface action items to be performed by a user. The action items can be provided in a circle scheme or a table scheme. The user can select an action item, and in response, the user interface can provide additional information associated with the action item. The user interface can also provide various functionalities associated with performing a task corresponding to the action item.

According to an embodiment, an electronic device may include: a housing, a flexible display at least a portion of which is visible to the outside through the housing, and at least one processor operably connected to the flexible display, wherein the at least one processor may be configured, in response to a sliding operation being performed to make visible a second portion including at least a portion of a first portion of the flexible display to the outside, based on an input, in a state in which the first portion of the flexible display is visible to the outside, to: obtain context information in a state in which the second portion is visible, identify one or more workspaces based on the context information, control the display to display a list of the one or more workspaces in a portion of the second portion, and in response to one workspace being selected from the list, control the display to display execution screens of a plurality of applications in the second portion based on the selected workspace, and wherein each of the one or more workspaces may include size information of the second portion, information about a plurality of applications to be executed, and layout information of execution screens of the plurality of applications.

According to an embodiment, an electronic device may include: a housing, a flexible display at least a portion of which is visible to the outside through the housing, and at least one processor operably connected to the flexible display, wherein the at least one processor may be configured, in response to a sliding operation being performed to make visible a second portion including at least a portion of a first portion of the flexible display to the outside, based on an input, in a state in which the first portion of the flexible display is visible to the outside, to: obtain context information in a state in which the second portion is visible, identify one or more workspaces based on the context information, control the display to display a list of the one or more workspaces in a portion of the second portion, and in response to one workspace being selected from the list, control the display to display execution screens of a plurality of applications in the second portion based on the selected workspace, and wherein each of the one or more workspaces may include size information of the second portion, information about a plurality of applications to be executed, and layout information of execution screens of the plurality of applications.

One disclosed method involves determining, by at least one computing system and based at least in part on input provided to a meeting application, at least a first topic of interest for a first user accessing the meeting application via a first client device, in response to determining the first topic of interest, querying, by the at least one computing system, at least one data source, external to the meeting application, for information corresponding to the first topic of interest, and causing, by the at least one computing system, the first client device to display a representation of the information.

One disclosed method involves determining, by at least one computing system and based at least in part on input provided to a meeting application, at least a first topic of interest for a first user accessing the meeting application via a first client device, in response to determining the first topic of interest, querying, by the at least one computing system, at least one data source, external to the meeting application, for information corresponding to the first topic of interest, and causing, by the at least one computing system, the first client device to display a representation of the information.

Systems and methods for automatically building a machine learning model are disclosed. A plurality of variables is displayed via a graphical user interface (GUI). A target variable and a first independent variable are identified from the plurality of variables. A parameter associated with the machine learning model is identified. Collected data is received via the GUI. A first machine learning model is built using as inputs, the parameter and the collected data associated with the first independent variable and the target variable. A change is made to at least a portion of the inputs used to build the first machine learning model. A second machine learning model is built based on the change. A prediction accuracy of the first machine learning model is compared to the prediction accuracy of the second machine learning model. Either the first or second machine learning model is selected based on the prediction accuracy.

Systems and methods for automatically building a machine learning model are disclosed. A plurality of variables is displayed via a graphical user interface (GUI). A target variable and a first independent variable are identified from the plurality of variables. A parameter associated with the machine learning model is identified. Collected data is received via the GUI. A first machine learning model is built using as inputs, the parameter and the collected data associated with the first independent variable and the target variable. A change is made to at least a portion of the inputs used to build the first machine learning model. A second machine learning model is built based on the change. A prediction accuracy of the first machine learning model is compared to the prediction accuracy of the second machine learning model. Either the first or second machine learning model is selected based on the prediction accuracy.

An emergency response system provides a map-based interface for a telecommunicator to view information about an incident and coordinate a response to the incident. The emergency response system gathers supplemental data regarding locations and other information that may be relevant in assisting with the incident. The interface may automatically select relevant supplemental information based on the incident and provide this incident-specific information for display on the interface. The user may then select a response on the interface such as a unit to dispatch that the system automatically implements, providing unified information and control for incidents, supplemental information, and incident response.

A method to assess user condition for wearable devices using electromagnetic sensors is provided. The method includes receiving a signal from an electromagnetic sensor, the signal being indicative of a health condition of a user of a wearable device, selecting a salient attribute from the signal, and determining, based on the salient attribute, the health condition of the user of the wearable device. A non-transitory, computer-readable medium storing instructions which, when executed by a processor, cause a system to perform the above method, and the system, are also provided.