Abstract: Systems and methods for predicting interactions between objects and predicting a trajectory of an object are presented herein. A system can obtain object data associated with a first object and a second object. The object data can have position data and velocity data for the first object and the second object. Additionally, the system can process the obtained object data to generate a hybrid graph using a graph generator. The hybrid graph can have a first node indicative of the first object and a second node indicative of the second object. Moreover, the system can process, using an interaction prediction model, the generated hybrid graph to predict an interaction type between the first node and the second node. Furthermore, the system can process, using a graph neural network model, the predicted interaction type between the first node and the second node to predict a trajectory of the first object.

Abstract: Systems and methods described herein are directed to the integration and containerization of gateway components on edge devices, which may include building device gateways. A gateway executes a building device interface container that communicates, via an interface implemented by the building device interface container, with one or more building devices of the building to control or collect data from the one or more building devices. The gateway executes a processing container that processes the data from the one or more building devices. The gateway implements a virtual communication bus that facilitates communication between the building device interface container and the processing container.

Abstract: A method of cell culture assessment (e.g., prior to a drug substance harvesting process) includes obtaining a plurality of parameters associated with a cell culture, and inferring or predicting a value or classification indicative of packed cell volume. Inferring or predicting the packed cell volume includes applying the plurality of parameters as inputs to a non-linear machine learning model. The method also includes generating an output indicative of the inferred or predicted value or classification.

Abstract: The present invention relates to a process for producing a layer of a crystalline A/M/X material, which crystalline A/M/X material comprises a compound of formula [A]a[M]b[X]c, wherein: [M] comprises one or more first cations, which one or more first cations are metal or metalloid cations; [A] comprises one or more second cations; [X] comprises one or more halide anions; a is an integer from 1 to 6; b is an integer from 1 to 6; and c is an integer from 1 to 18, wherein the process comprises disposing on a substrate a precursor composition comprising: (a) a first precursor compound comprising a first cation (M), which first cation is a metal or metalloid cation; and (b) a solvent, and wherein the solvent comprises: (i) a non-polar organic solvent which is a hydrocarbon solvent, a chlorohydrocarbon solvent or an ether solvent; and (ii) a first organic amine comprising at least three carbon atoms. Also described are compositions useful in the process of the invention.

Abstract: A method comprises reading data of one or more files and identifying one or more data types corresponding to the one or more files. In the method, at least one destination database for the data is recommended based at least in part on the one or more data types. A data model to use in connection with writing the data to the at least one destination database is generated. The generation of the data model is based at least in part on the one or more data types corresponding to the one or more files. At least the generation of the data model is performed using one or more machine learning algorithms.

Abstract: The invention relates to a method and ethernet physical layer device for detecting, classifying and localizing cable faults of an ethernet physical cable, particularly an automotive ethernet PHY, using a time domain reflectometry algorithm, using a hybrid mode for selectively subtracting sent signals from received signals for fault detection and classification and considering send and received signals during fault localization.

Abstract: Systems, apparatuses and methods include technology that identifies first data that is autonomously generated, where the first data is associated with a first source. The technology may further determine that the first data is to be marked with an indication that the first data is associated with the first source, generate an identifier associated with the first data based on the first data being determined to be marked, where the identifier indicates that the first data is associated with the first source, and store the identifier to an entry in a storage that is remotely accessible.

Abstract: Various embodiments of the present disclosure provide hardware trojan detection using Shapley ensemble boosting. In one example, an embodiment provides for extracting a plurality of features related to hardware trojan detection from one or more circuit samples related to one or more circuits, training one or more machine learning models based at least in part on the plurality of features, modifying the one or more machine learning models based at least in part on a set of Shapley values to generate one or more enhanced machine learning models for hardware trojan detection related to the one or more circuits, and deploying the one or more enhanced machine learning models for the hardware trojan detection related to the one or more circuits.

Abstract: A system determines that a fuel dispensing operation may be anomalous. In response, the system accesses fuel inventory data that indicates fuel levels in a fuel tank during a time period. The system determines a measure amount of fuel that left the fuel tank based on the fuel inventory data. The system determines a calculated amount of dispensed fuel associated with one or more fuel dispensing operations during the time period. The system compares the measured amount of fuel that left the fuel tank with the calculated amount of dispensed fuel. The system determines that the measured amount of fuel that left the fuel tank is more than the calculated amount of dispensed fuel. In response, the system concludes that at least one of the fuel dispensing operations is anomalous and causes the fuel dispensing terminal to stop dispensing fuel.

Abstract: Provided herein are continuously cast aluminum alloy products exhibiting uniform surface characteristics. The aluminum alloy products have a first surface comprising a width, wherein the first surface comprises an average of 50 exudates or less per square centimeter across the width of the first surface. Also provided herein are methods of making aluminum alloy products having improved surface characteristics. Further provided are methods and systems for manufacturing aluminum alloy products, such as sheets, having reduced surface defects.

Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media for processing image data. For example, a process can include obtaining segmentation information associated with an image of a scene, the image including a plurality of pixels having a resolution, and obtaining depth information associated with one or more objects in the scene. A plurality of features can be generated corresponding to the plurality of pixels, wherein each feature of the plurality of features corresponds to a particular pixel of the plurality of pixels, and wherein each feature includes respective segmentation information of the particular pixel and respective depth information of the particular pixel. The plurality of features can be processed to generate a dense depth output corresponding to the image.

Abstract: A system for configuring at least one medical device is disclosed, wherein the system comprises: a display unit designed to display predefined steps for at least one medical process, the predefined steps including instructions for a surgeon and settings of the at least one medical device, a transceiver unit designed to receive an input by the surgeon prior to the medical process, and a processing unit designed to adapt the predefined steps on the basis of the input by the surgeon, the adaptation including a selection of the predefined steps, a sequence of the predefined steps and/or parameters for the settings of the at least one medical device.

Abstract: A computer-implemented method is provided. Historical data associated with operation of a plurality of computing entities is received. Inventory information is tracked based on the historical data, including discovering when new computing entities are added to the plurality of computing entities. Transaction information is tracked based on the historical data. Transaction information comprises information associated with transactions of the plurality of computing entities and with a volume of transactions. Cost information associated with the transactions of each computing entity, is tracked. Utilization information, comprising information relating to utilization of an infrastructure of each respective computing entity, is also tracked. A database is built comprising at least one of inventory, transaction, and cost information. An output is generated providing a report of information on one or more computing entities in the plurality of computing entities.

Abstract: A method and apparatus for dynamic optimization of single root input/output (I/O) virtualization (SR-IOV) workloads performance on a server or a client device. A function provided by an I/O endpoint device is shared by a plurality of virtual machines (VMs) or a host operating system (OS) via an I/O root device. It is determined whether a rate control is required for a workload running in a VM or the host OS based on a service level agreement (SLA) for the workload. If it is determined that a rate control is required for the workload, it is further determined whether a requirement for the workload can be satisfied based on a capability of an I/O endpoint device connected to the I/O root device. If it is determined that the requirement under the SLA for the workload can be satisfied, a rate control is performed for the workload.

Abstract: Provided is a power converter that includes at least one leg having a first string that includes a plurality of switching units, a plurality of unidirectional current switches, a first connecting node, and a second connecting node, such that the first string is operatively coupled across a first and a second bus, and a second string operatively coupled to the first string via the first connecting node and the second connecting node such that the second string includes a plurality of unidirectional current switches and a fourth connecting node operatively coupled to a fourth bus. The power converter also includes a controller configured to control switching of the plurality of switching units.

Abstract: An example method for automated backups in a distributed storage system comprises accessing, by a storage controller of a storage system, a user-defined set of criteria indicating a criticality of data stored by the storage system; detecting, by the storage controller, a change in the data; and generating, by the storage controller, based on the detecting and on the criticality, a point-in-time immutable version of the change in the data.

Abstract: One or more engine instances are executed on each host to form an engine cluster. A plurality of control instances are executed on a first set of hosts to form a control cluster and comprise a control instance leader and one or more control instance followers. In response to a first host indicating a failure of a neighbor host, a pair-wise focused investigation is initiated to check peer-to-peer connections between the first host and the neighbor host. In response to one or more additional hosts indicating failures of neighbor hosts while the pair-wise focused investigation is being performed, a wide investigation is performed to check connections between the control cluster and the plurality of hosts. One or more hosts are added to an eviction list and an eviction protocol is performed to evict the one or more hosts from the engine cluster using the eviction list.

Abstract: A method of identifying call drop areas includes dividing a network cluster into a plurality of grids, determining a call drop percentage of at least one first grid of the plurality of grids, determining whether the call drop percentage of the at least one first grid is greater than a predetermined call drop percentage threshold, and generating at least one call drop polygon including at least a portion of the at least one first grid based on determining that the call drop percentage of the at least one first grid is greater than the predetermined call drop percentage threshold.

Abstract: The method for synthesizing zinc oxide nanoroses is a green, fast, and cost-effective approach for the growth of ZnO nanoroses in which a sheet of vertically aligned and interconnected sheet of ZnO nanospheres are grown on a titanium buffer layer coated on a silicon substrate, the nanospheres mimicking a rose-like structure. According to the method, a film of titanium is first deposited on a Si/SiO2 substrate by an e-beam evaporation method. Then, the titanium film coated substrate is suspended upside down in a solution of zinc nitrate (0.011 M-0.055M) in an aqueous solution of hexamethylenetetramine (0.011 M-0.055M) and heated to 50-100° C. with vigorous stirring for 60-180 min. The resulting ZnO nanoroses are washed with de-ionized water and air-dried for 12-24 hours. The ZnO nanoroses are suitable for use for various device applications in electronics and in biomedical systems.

Abstract: An apparatus, method and computer program are described. The apparatus comprises throttling control circuitry (215), associated with a given processing element (205), to perform a throttling-level selection process to select a throttling level indicative of an execution rate at which higher-power processing tasks received by the given processing element are to be issued to processing circuitry of the given processing element. The apparatus also comprises power management circuitry (220) to perform a power control process to select an operating voltage and/or clock frequency to be used by the given processing element, wherein the power management circuitry is configured to select the operating voltage and/or clock frequency in dependence on the throttling level selected for the given processing element, and at least one register (225) accessible to firmware.