Abstract: Systems and methods presented herein facilitate operation of well-related tools. In certain embodiments, a variety of data (e.g., downhole data and/or surface data) may be collected to enable optimization of operations related to the well-related tools. In certain embodiments, the collected data may be provided as advisory data (e.g., presented to human operators of the well to inform control actions performed by the human operators) and/or used to facilitate automation of downhole processes and/or surface processes (e.g., which may be automatically performed by a computer implemented surface processing system (e.g., a well control system), without intervention from human operators). In certain embodiments, the systems and methods described herein may enhance downhole operations (e.g., milling operations) by improving the efficiency and utilization of data to enable performance optimization and improved resource controls of the downhole operations.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems provide, for display within a graphical user interface of a client device, a digital image displaying a plurality of objects, the plurality of objects comprising a plurality of different types of objects. The disclosed systems generate, utilizing a segmentation neural network and without user input, an object mask for objects of the plurality of objects. The disclosed systems determine, utilizing a distractor detection neural network, a classification for the objects of the plurality of objects. The disclosed systems remove at least one object from the digital image, based on classifying the at least one object as a distracting object, by deleting the object mask for the at least one object.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems generate, utilizing a segmentation neural network and without user input, object masks for objects in a digital image. The disclosed systems determine foreground and background abutting an object mask. The disclosed systems generate an expanded object mask by expanding the object mask into the foreground abutting the object mask by a first amount and expanding the object mask into the background abutting the object mask by a second amount that differs from the first amount. The disclosed systems inpaint a hole corresponding to the expanded object mask utilizing an inpainting neural network.

Abstract: Deploying handwriting recognition servers of different security levels is provided. The process includes establishing multiple security levels of processing handwriting recognition requests, and providing multiple handwriting recognition servers. A handwriting recognition server of the multiple handwriting recognition servers facilitates handwriting recognition analysis processing for a respective security level of the multiple security levels of processing handwriting recognition requests. The process further includes deploying the multiple handwriting recognition servers to multiple computing resources of a computing environment for processing respective security-level handwriting recognition requests.

Abstract: Systems and methods presented herein facilitate operation of well-related tools. In certain embodiments, a variety of data (e.g., downhole data and/or surface data) may be collected to enable optimization of operations related to the well-related tools. In certain embodiments, the collected data may be provided as advisory data (e.g., presented to human operators of the well to inform control actions performed by the human operators) and/or used to facilitate automation of downhole processes and/or surface processes (e.g., which may be automatically performed by a computer implemented surface processing system (e.g., a well control system), without intervention from human operators). In certain embodiments, the systems and methods described herein may enhance downhole operations (e.g., milling operations) by improving the efficiency and utilization of data to enable performance optimization and improved resource controls of the downhole operations.

Abstract: Disclosed herein are systems, devices, and methods for accessing a subdural space. In some embodiments, an apparatus may comprise a shaft configured to be slidably disposed within a lumen of a catheter. The shaft may be configured to be advanced distally from a distal end of the catheter and into a blood vessel of a subject. The shaft may include a perforating tip including an energy element configured to generate radiofrequency energy to form an opening through a wall of the blood vessel and dura of the subject and into an extravascular space of the subject. A curved section may be configured to be radially constrained within the lumen of the catheter and to curve toward the wall of the blood vessel and the dura upon exiting the lumen of the catheter such that the energy element is positioned to form the opening.

Abstract: Demand-based deployment of a font server to an edge device is facilitated by identifying a need for font-related data that is currently unavailable at a user device. The process also includes deploying a font server to an edge device of the computing environment to facilitate distribution of the font-related data to the user device.

Abstract: Herein is database query acceleration from dynamic discovery of whether contents of a persistent column can be stored in an accelerated representation in storage-side memory. In an embodiment, based on data type discovery, a storage server detects that column values in a persistent column have a particular data type. Based on storage-side metadata including a frequency of access of the persistent column as an offload input column for offload computation requests on a certain range of memory addresses, the storage server autonomously decides to generate and store, in storage-side memory in the storage server, an accelerated representation of the persistent column that is based on the particular data type. The storage server receives a request to perform an offload computation for the offload input column. Based on the accelerated representation of the persistent column, execution of the offload computation is accelerated.

Abstract: Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set).

Abstract: A computer implemented method, apparatus, system, and computer program product detects a problematic source code. A computer system loads a source code into a first memory. The computer system loads a rendered source code into a second memory. The rendered source code is a rendered version of the source code. The computer system determines a difference between the source code in the first memory and the rendered source code in the second memory. The computer system determines whether a problematic source code is present within the source code using the difference. The computer system performs a set of actions with respect to the problematic source code in response to determining that the problematic source code is present in the source code. According to other illustrative embodiments, a computer system and a computer program product for detecting a problematic source code are provided.

Abstract: Wireless communications systems and methods related to communications in a wireless network during handover are provided. A method of wireless communication performed by a first base station (BS), may include communicating, based on a handover condition, flight path information associated with an unmanned aerial vehicle (UAV) and performing a communication handover of the UAV between the first BS and a second BS.

Abstract: An actuated telescoping system for navigation within a vascular lumen and thrombectomy of a thrombus. The system includes a tubular catheter member having an open distal end defining a catheter lumen, a vacuum source, a rotational drive system, a flexible shaft having a channel coupled to the rotational drive system for rotational movement in response thereto, and an optional guidewire selectively inserted at least partially within the flexible shaft. The flexible shaft is at least partially disposed within the tubular catheter member configured for uncoupled rotational and translational motion therein and to optionally define a corkscrew motion in response to rotational driving force by the drive system that results in formation of hydrodynamic vortices within the catheter lumen.

Abstract: A request to share an object is received within a virtualized screen sharing management application. A virtualized display for sharing the object is generated. The object is mapped to the virtualized display. Responsive to the request, the object is shared within the virtualized screen sharing management application via the virtualized display.

Abstract: Demand-based deployment of a font server to an edge device is facilitated by identifying a need for font-related data that is currently unavailable at a user device. The process also includes deploying a font server to an edge device of the computing environment to facilitate distribution of the font-related data to the user device.

Abstract: Aspects of the present disclosure relate to augmentation for web conference participants. An augmentation rule set defining mappings between augmentations and participant characteristics can be received, where the augmentation rule set is implemented for a web conference to determine augmentations to apply onto participant video feeds within the web conference. A plurality of participants within the web conference can be identified. The web conference can be analyzed to determine participant characteristics of each participant of the plurality within the web conference. Augmentation can be applied on respective video feeds of each participant according to the augmentation rule set based on the determined characteristics of each participant.

Abstract: The program intelligently assigns a virtual office layout (VOL) to one or more actual users' real on-site office layout (ROL) based on human resource mapping. The method maps the one or more actual users' ROL to a correlated VOL, according to human resource data and a real building floor map. The method creates an augmented virtual office layout (AVOL) based on the mapping. The method customizes the AVOL according to the one or more actual users' preferences and real office location and tracks the one or more users' activities on the AVOL. The method renders the one or more users' real or preferred office location and the one or more users' virtual position on the AVOL.

Abstract: A contact type indirect conduction, vibrating type microphone comprised of a body having a vibration damper on the inside, a fastening device connected to the body for fastening around the neck or the head, the vibration damper having a top recess, a peripheral flange, and a plurality of projecting rods raised from a bottom thereof, a capacitive microphone disposed within the top recess of the vibration damper, a sponge covered on the vibration damper over, and a top cover with a diaphragm covered over the sponge and adhered thereto by a double-sided adhesive tape.