Abstract: An application server provides an application to client devices. Users of the client devices interact with the application to perform a business process. Data regarding user interactions with the application is transmitted from the client devices to the application server. Based on an analysis of the received data, a bot generation server generates a bot to automate a process step. The bot generation server provides a heatmap user interface (UI) that provides information regarding the process steps. Using the heatmap UI, the administrator selects a process step for automation. In response to the selection, the hot generation server identifies, based on the observed behavior, relationships between input fields, typical values for input fields, typical order of data entry into input fields, or any suitable combination thereof. Based on the identified patterns, the hot generation server generates a bot to automate some or all of the process step.

Abstract: A universal deep probabilistic decision-making framework for dynamic process modeling and control, referred to as Deep Probabilistic Decision Machines (DPDM), is presented. A predictive model enables the generative simulations of likely future observation sequences for future or counterfactual conditions and action sequences given the process state. Then, the action policy controller, also referred to as decision-making controller, is optimized based on predictive simulations. The optimal action policy controller is designed to maximize the relevant key performance indicators (KPIs) relying on the predicted experiences of sensor and target observations for different actions over the near future.

Abstract: A chat-based persistent messaging platform that can seamlessly convert messages from different modalities (e.g., email clients and text message clients) into persistent messages and vice versa is described herein. The platform can include a parsing processor to convert messages into standard format data. A message classifier can process the standard format data into different subcomponents. These subcomponents can be translated into persistent messaging content via one or more content processing engines. The persistent messaging content can be converted into a persistent message via the parsing processor. The message classifier can also add messages into a persistent thread so that message history between two or more users can be maintained in perpetuity.

Abstract: Various aspects involve a monotonic recurrent neural network (MRNN) trained for risk assessment or other purposes. For instance, the MRNN is trained to compute a risk indicator from a predictor variable. Training the MRNN includes adjusting weights of nodes of the MRNN subject to a set of monotonicity constraints, wherein the set of monotonicity constraints causes output risk indicators computed by the RNN to be a monotonic function of input predictor variables. The trained monotonic RNN can be used to generate an output risk indicator for a target entity.

Abstract: In the present disclosure, a method for compressing a feature map is provided, where the feature map is generated by passing a first input through a deep neural network (DNN). A respective optimal index order and a respective optimal unifying method are determined for each of super-blocks that are partitioned from the feature map. A selective structured unification (SSU) layer is subsequently determined based on the respective optimal index order and the respective optimal unifying method for each of the super-blocks. The SSU layer is added to the DNN to form an updated DNN, and is configured to perform unification operations on the feature map. Further, a first estimated output is determined, where the first estimated output is generated by passing the first input through the updated DNN.

Abstract: An example method of monitoring computing resources in a cloud computing environment may include receiving a request to subscribe to a monitoring service with respect to computing resources associated with a user account, the request specifying access information for a cloud computing system comprising a plurality of virtual machines associated with the computing resources. The method may further include monitoring, using the access information, the plurality of virtual machines. The method may further include identifying, in view of the monitoring, a virus-infected application running on a virtual machine of the plurality of virtual machines. The method may further include terminating the virus-infected application. The method may further include receiving, in view of the monitoring, resource usage data reflecting types and duration of usage of the computing resources. The method may further include generating, in view of the usage data, a report reflecting usage of the computing resources.

Abstract: Borehole images can be corrected using machine-learning models. For example, a system can train a machine-learning model based on a training dataset. The training dataset can include a first set of borehole images correlated to a second set of borehole images, where the second set of borehole images are less precise versions of the first set of borehole images. The system can then execute the trained machine-learning model in relation to an input borehole image to receive a corrected borehole image as output from the trained machine-learning model. The corrected borehole image can be a visually corrected version of the input borehole image. The system may then perform one or more operations based on the corrected borehole image, such as generating a graphical user interface that includes the corrected borehole image for display on a display device.

Abstract: A method and apparatus for generating a time-lapse video are disclosed. In one embodiment, the method comprises: storing each instruction that is executed by a vector graphics application to create artwork on a display of a computer system during one or more editing sessions as part of an undo history; and generating a time-lapse video using the undo history.

Abstract: A mobile computing device runs multiple activities concurrently and provides at least two modes for interacting with the activities. The user may toggle between the modes as desired. In a full-screen mode, one activity occupies substantially an entire display screen. In a windowed mode, the activity is visible within a window, and a portion of at least one other window is also visible. In the windowed mode, the user can cause windows to move, thereby changing focus from one activity to another. For example, the window having focus can be moved off the screen, to be replaced by a new window that is then given focus. The windows are ordered in a sequence and move in concert with one another; pushing one window off one edge of the screen causes a new window to appear at the opposite edge. A persistent positional relationship can be established among windows.

Abstract: Systems and methods for facilitating virtual collaboration between users within virtual environments are disclosed. A plurality of users access a collaborative virtual environment system at various times using interface devices to establish an asynchronous virtual collaboration session in which users collaborate in real-time and/or asynchronously. To enable asynchronous collaboration, data from virtual collaboration session is stored and presented to later users, including user movements and interactions with the environment, user annotation, and audio communications or comments. Other users may then access the data at a later time, and later user interactions, annotations, and audio may likewise be stored for further review by other users.

Abstract: A method of producing a graphical depiction of a value of a property of a material is provided. The method comprises generating, by a processing unit, a plot defining a geometric shape, a first axis comprising a plurality of first variables, and a second axis comprising a plurality of second variables. The processing unit generates a plurality of points arranged in a matrix based on the first variables and the second variables, each of the points define a value of a property of a material formed by a combination of one of the first variables and one of the second variables. An output device displays a visual representation of the respective values of the property of the material at least two of the plurality of points in a range of indicia. The range of indicia represents a comparison of the respective value of the property and a constraint.

Abstract: A system to provide increased visibility and insight into unexpected usage patterns for electronic devices is described. The utilization analysis system applies a utilization model to device utilization information. The utilization model is also used to determine one or more device usage patterns for the electronic device. These device usage patterns are used to determine an unexpected device utilization where the system responds to the unexpected device utilization with several hardware and software solution proposals to prevent damage to the electronic device and/or enhance the design and development of the electronic device.

Abstract: According to one general aspect, a computing device may include an application configured to create a tab in a context of a window, and a window manager configured to register the tab with a first UI element registry. The window manager may be configured to receive, over a network, at least a portion of a second UI element registry from a secondary window manager of a secondary computing device. The portion of the second UI element registry may identify a remote tab previously registered with the secondary window manager. The window manager may be configured to cause a display to provide a graphical arrangement of the tab and the remote tab.

Abstract: One variation of a method for serving interactive content to a user includes, at a visual element inserted into a document accessed by a computing device: loading a first frame from a digital video; in response to a scroll-down event that moves the visual element upward from a bottom of a window rendered on the computing device toward a top of the window, seeking from the first frame through a subset of frames in the digital video in a first direction at a rate corresponding to a scroll rate of the scroll-down event, the subset of frames spanning a duration of the digital video corresponding to a length of the scroll-down event; and, in response to termination of the scroll-down event with the visual element remaining in view within the window, playing the digital video forward from a last frame in the subset of frames in the digital video.

Abstract: A computer system may obtain reference ticket data for reference tickets of an online system, with the reference ticket data indicating a reference issue for a reference component and a reference solution, and also obtain learning content items from a learning management system. The computer system may then create a mapping between the reference issues indicated by the reference ticket data for the reference tickets and the learning content items using an unsupervised machine learning algorithm. The computer system may detect target ticket data that has been provided by a user to the online system via a computing device, with the target ticket data indicating a target issue for a target component, identify a target solution for the target issue based on the target ticket data using the mapping, and cause a recommendation of the target solution to be displayed on the computing device.

Abstract: A SCADA Web HMI system includes a drawing generation device (1) and an HMI terminal device (32). A drawing editor (11) generates SVG data (21) and part runtime attribute data (22). The HMI terminal device (32) includes a Web browser (321) that reads SVG data (21) and displays an HMI screen, and an HMI Web runtime (322) that reads the part runtime attribute data (22) as setting parameters and operates on the Web browser (321). When receiving signal data corresponding to unique signal names from a monitoring target device (7), the HMI Web runtime (322) changes display of parts corresponding to the unique signal names on the HMI screen.

Abstract: A signal analyzer for analyzing an input signal comprises at least one input for receiving the input signal, at least one acquisition unit for acquiring data assigned to the input signal, an acquisition memory for storing the acquired data, the acquisition memory being adapted to store data in at least one ring buffer, and an acquisition memory controller to control at least one of writing the acquired data in the acquisition memory and reading the acquired data from the acquisition memory. The acquisition memory controller comprises a data read module for reading data of the at least one ring buffer. The acquisition memory controller comprises a copy write module which taps data read by the data read module. The acquisition memory comprises an additional memory section. The copy write module is configured to write the data tapped into the additional memory section. Further, a method of processing data from an input signal is described.

Abstract: Provided herein are systems and methods of investigating an entity or a potential incident. A tracker engine may receive an identification of a first entity in a networked environment. The tracker engine may display, in a user interface responsive to receiving the identification, a representation of the first entity, and representations of a plurality of entities associated with the first entity. The plurality of associated entities may include: a network connection, a file, a process, a user or a computing device. The tracker engine may receive, via the user interface, a selection of a second entity from the plurality of associated entities. The tracker engine may update, responsive to receiving the selection, the user interface to display a representation of the second entity graphically linked to the representation of the first entity, and representations of a plurality of entities associated with the second entity.

Abstract: Systems and methods for providing summarization, indexing, and post-processing of a recorded document presentation are provided. The system accesses a structured document and recordings associated with a recorded presentation given using the structured document. The system analyzes, using machine-trained models, the structured document, audio and video recordings, and recording of operations performed during the presentation. The analyzing comprises generating a transcript of the audio recording, determining context of components of the structured document, and deriving context from the video recordings and recording of operations. Based on the analyzing, the system segments the recorded presentation into a plurality of segments and generates an index of the plurality of segments that is used for post-processing.

Abstract: Disclosed are various approaches for recommending remotely executed applications for opening files. In one approach, an indication is received that a user desires to open the local file of a client device remotely. At least one remotely executed application is identified to open the local file remotely. A user interface is rendered by the client device that facilitates selection from among the remotely executed application(s). A user selection of a particular remotely executed application generated through the user interface is received. The particular remotely executed application opens the local file remotely.