Abstract: A tip of a vascular catheter is detected in a sequence of vessel image frames obtained using x-rays. Within the vessel image frames, a proximal point corresponding to a vessel ostium is determined. The sequence of vessel image frames are cropped to an image area surrounding the proximal point to generate a cropped sequence of cropped vessel image frames. Within cropped vessel image frames not indicative of a contrast medium, the tip of the vascular catheter is detected, and the detected tip of the vascular catheter is tracked.

Abstract: A memory control circuit coupled to multiple memory ranks may receive read and write requests for a different ranks of the multiple memory ranks. The memory control may allocate write requests to different slots based on the write requests target memory rank, and may adjust the number of slots available for a given memory rank during a write turn to improve write efficiency. The memory control circuit may also determine a number of ranks switches within a read turn based on whether a particular quality-of-service requirement associated with the read requests is being satisfied.

Abstract: Systems, apparatuses, and methods for addressing bank hotspotting are described. A computing system includes a memory controller with an arbiter for determining how to arbitrate access to one or more memory device(s) for received requests. The arbiter categorizes each request in a manner that helps to ensure fair virtual channel distribution across the banks of the memory device(s). The category system includes bank hotspotting functions to give banks that have more requests more chances to go over banks with fewer requests. The category system is implemented proportionally with more category credits given to banks with higher bank depths within the virtual channel.

Abstract: A computer-implemented pathological vessel guidance method includes the acts of generating a vessel roadmap library, the vessel roadmap library including a plurality of vessel roadmaps, wherein each vessel roadmap includes a vessel roadmap image and first and second alignment data; detecting, within the vessel roadmap images of the vessel roadmap library, a pathological vessel; obtaining a real-time fluoroscopy image and corresponding real-time first and second fluoroscopy information; selecting a vessel roadmap from the roadmap library based on comparing the first real-time fluoroscopy information with the first alignment data of each vessel roadmap of the roadmap library; overlaying the real-time fluoroscopy image with the selected vessel roadmap image of the vessel roadmap library; aligning the vessel roadmap image of the selected vessel roadmap and the real-time fluoroscopy image based on the second alignment data and the real time second fluoroscopy information; and providing guidance for a fluoroscopy o

Abstract: Systems and methods for performing a medical imaging analysis task are provided. One or more input medical images of a patient are received. The one or more input medical images are encoded into embeddings using a machine learning based encoder network. A medical imaging analysis task is performed based on the embeddings. Results of the medical imaging analysis task are output.

Abstract: Techniques are disclosed relating to multi-activation techniques for wire operations with multiple partial writes. In some embodiments, a memory controller is configured to access data in a memory device that supports partial writes having a first size using read-modify-write operations and non-partial writes having a second size that is greater than the first size. In some embodiments, the memory controller is configured to queue a first write operation having the second size, where the first write operation includes multiple partial writes. In some embodiments, the memory controller is configured to send separate activate signals to the memory device to activate a bank of the memory device to perform different proper subsets of the multiple partial writes. This may allow interleaving of other accesses to a memory bank and merging of writes while waiting for a current activation, in some embodiments.

Abstract: Systems and methods are described herein for creating enterprise workflows for an enterprise user. In an example, a user can access a workflows tool in a management application. The user can select a trigger event from a list of available trigger events. In response to the selection, the workflows tool can display a list of available actions. The user can select an action. The user can also select other enrolled user devices for executing the workflow. The management application can send the selections to a server. The server can send workflow connectors for the selected trigger event and action to the selected user devices. The workflow connections can include instructions for detecting the trigger event and instructions for performing the action. The management application can install the workflow connectors and begin executing the workflow.

Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.

Abstract: The present application relates to a computer-implemented dynamic vessel roadmapping method. The method comprises generating a vessel roadmap library, the vessel roadmap library including a plurality of vessel roadmaps, wherein each vessel roadmap comprises vessel roadmap image and first and second alignment data, obtaining a real-time fluoroscopy image and corresponding real-time first and second fluoroscopy information, overlaying a vessel roadmap image of the vessel roadmap library with the real-time fluoroscopy image based on the first alignment data, the second alignment data, and the real time first and second fluoroscopy information and aligning the vessel roadmap image and the real-time fluoroscopy image based on the second alignment data and the real time second fluoroscopy information, wherein the second alignment data is derived from the corresponding vessel roadmap image.

Abstract: A system that enables development and execution of predictive models comprises a centralized data management system, a data extraction tool a model validation tool and a model execution tool. In embodiments, a data management system includes a data management server that can be accessed via a web browser that stores data in the form of a flat file. An extraction tool extracts data. A model validation tool validates a model by scoring an analytical environment data set and a production environment data set. A model execution tool allows a user to select when and how often a model is scored.

Abstract: Provided are systems and methods for converting user interface events that occur in a software application developed via a WebGUI framework into activity descriptions and into a bot software program. In one example, a method may include recording events transmitted between a user interface of a web application open within a web browser on a client device and a back-end of the web application on a server, identifying codes associated with user interface elements which are assigned to the recorded events, converting the identified codes assigned to the recorded events into a human-readable descriptions of the recorded events based on a predefined mapping between the codes and the human-readable descriptions stored in the predefined mapping, and displaying the human-readable descriptions of the recorded events based on the identified order among the recorded events.

Abstract: The present invention relates to a state-indicating device (100) for circuit breaker with test function disclose. The state-indicating device (100) includes signal transmission to plurality of indicating devices (100) from the circuit breaker by means of linking features between the circuit breaker and indicating device and also linkage between one indicating device and other indicating device. Indicating device includes a mechanical linkage comprising an actuator connected to hook member (7) and tripping bar (8) with stainless-steel rod (9) being configured to: operate mechanical plate (6) and lever (10), test function actuator (4); to push the microswitch button (19) of a microswitch assembly (12) by selectively On/Off (OF), Signal Default (SD) and SD+OF causing the circuit to change status from Normally Open (NO) to Normally Close (NC); and to show the trip status of the circuit breaker which is mounted to, say the right side of the invented state-indicating device (100).

Abstract: In an example embodiment, a single machine learned model that allows for ranking of entities across all of the different combinations of node types and edge types is provided. The solution calibrates the scores from Edge-FPR models to a single scale. Additionally, the solution may utilize a per-edge type multiplicative factor dictated by the true importance of an edge type, which is learned through a counterfactual experimentation process. The solution may additionally optimize on a single, common downstream metric, specifically downstream interactions that can be compared against each other across all combinations of node types and edge types.

Abstract: A system for enabling a headless Bluetooth device to establish a secure connection with a peer device is disclosed. The system includes the Bluetooth device configured for sending encrypted predefined first data to the peer device. The peer device is configured for receiving the data and sending it along with a predefined second data to a server, which comprises a second user confirm value. The server configured for receiving the data from the peer device and processing it for authenticating the received data and, on successful authentication, sending it to the peer device. The peer device is configured for receiving the data and sending it to the Bluetooth device and the Bluetooth device is configured processing it for authenticating the received data and, on successful authentication, bonding and communicating securely with the peer device.

Abstract: A device receives data indicative of a plurality of broadcast service set identifiers. The device applies a schema to the data indicative of the plurality of broadcast service set identifiers to determine data indicative of a physical access point that broadcasts each of the plurality of broadcast service set identifiers. The device provides the data indicative of the physical access point to a user interface.

Abstract: A method for switching between a first lens and a second lens in an electronic device includes displaying, by the electronic device, a first frame showing a field of view (FOV) of the first lens; detecting, by the electronic device, an event that causes the electronic device to transition from displaying the first frame to displaying a second frame showing a FOV of the second lens; generating, by the electronic device and based on the detecting the event, at least one intermediate frame for transitioning from the first frame to the second frame; and switching, by the electronic device and based on the detecting the event, from the first lens to the second lens and displaying the second frame, wherein the at least one intermediate frame is displayed after the displaying the first frame and before the displaying the second frame while the switching is performed.

Abstract: There is provided a system and method of assisting defect detection on a semiconductor specimen. The method includes obtaining a first map informative of multiple care areas (CAs) to be inspected on a die; creating a plurality of bounding rectangles (BRs) enclosing the multiple CAs; and compacting the plurality of BRs to a set of compacted rectangles to meet a predefined inspection capacity while attempting to minimize a non-CA area enclosed by the set of compacted rectangles, giving rise to a second map informative of the set of compacted rectangles. The compaction comprises constructing an R-tree structure representative of the plurality of BRs and compacted rectangles, and selecting a set of nodes from the R-tree structure based on the predefined inspection capacity and representative of the set of compacted rectangles. The second map is usable for filtering a defect map indicative of defect candidate distribution on the die.

Abstract: A method of monitoring a health of a transportation refrigeration unit including: receiving at least one of an alarm of one or more components of the transportation refrigeration unit, test data on the one or more components of the transportation refrigeration unit, historical trip data of the transportation refrigeration unit, or service data of the transportation refrigeration unit; receiving reefer parameters of the transportation refrigeration unit; determining a health score of the transportation refrigeration unit based on at least the reefer parameters; and determining a maintenance action for transportation refrigeration unit based on the health score and at least one of the alarm, the test data, the historical trip data, or the service data.

Abstract: An imaging system includes a microscope to generate magnified images of regions of interest of a tissue sample, a camera to capture and store the magnified images, and a controller. The controller is configured to, for each magnification level in a sequence of increasing magnification levels, image one or more regions of interest of the tissue sample at the current magnification level. For each region of interest, data is generated defining one or more refined regions of interest based on the magnified image of the region of interest of the tissue sample at the current magnification level. Each refined region of interest corresponds to a proper subset of the tissue sample, and the refined regions of interest of the tissue sample provide the regions of interest to be imaged at a next magnification level from the sequence of increasing magnification levels.

Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.