Abstract: A system for performing dynamic exposure analysis typically includes a classical computer apparatus and a quantum optimizer in communication with the classical computer apparatus. The classical computer apparatus is configured for gathering data from one or more data sources, processing the gathered data, via an artificial intelligence engine, to determine a change to an exposure rating, converting the gathered data into at least one matrix, converting the at least one matrix to at least one Qubit sequence, and transmitting the at least one Qubit sequence to a quantum optimizer. The quantum optimizer upon receiving the at least Qubit sequence, generates at least one random number based on one or more parameters stored in a configuration repository, computes the at least one Qubit sequence and the at least one random number to generate a real-time exposure rating, and transmits the real-time exposure rating to exposure analysis application.

Abstract: Systems and methods for training a machine learning model are disclosed. A system may be configured to obtain a plurality of training samples. The system includes a machine learning model to generate predictions and generate a confidence score for each generated prediction. In this manner, the system is configured to, for each training sample of the plurality of training samples, generate a prediction by a machine learning model based on the training sample and generating a confidence score associated with the prediction by the machine learning model. The system is also configured to train the machine learning model based on the plurality of predictions and associated confidence scores. For example, one or more training samples may be excluded from use in training the machine learning model based on the associated one or more confidence scores (such as the confidence score being less than a threshold).

Abstract: An integrated circuit (IC) includes one or more active transistors and multiple series-coupled dummy transistors. The dummy transistors are coupled between two active transistors and/or at the ends of each active transistor. When the dummy transistors are coupled between two active transistors, apart from two conductive regions that are coupled to two active transistors, each remaining conductive region of the dummy transistors is maintained in a floating state to control a leakage current between the two active transistors. Similarly, when the dummy transistors are coupled at an end of one active transistor, apart from one conductive region that is coupled to the active transistor, each remaining conductive region of the dummy transistors is maintained in the floating state to control a leakage current between the active transistor and the dummy transistors.

Abstract: A native cloud-based VM in a cloud computing environment of choice is live-mounted without requiring nesting techniques. All operating system data needed to live-mount the VM is accessed over ISCSI. The disclosed technology: supports both Windows and Unix-like (e.g., Linux) operating systems; handles any number of partitions of the root file system without repeated mounting, exporting, and unmounting; and uses only internet protocols (e.g., HTTP, (SCSI) to live-mount the VM. The live-mounted VM gains access to a variety of secondary copies, e.g., made with file-level techniques or with block-level techniques, made within or outside the public cloud computing environment, made from other VMs having the same or a different hypervisor than the public cloud computing environment, and/or made from non-virtualized sources. Access to snapshots as a data source for the live-mounted VM is also disclosed. Thus, a streamlined and source-agnostic technology is disclosed for live-mounting VMs in a public cloud.

Abstract: A package comprising a substrate, a first antenna device, and an integrated device. The substrate comprising a first surface and a second surface, where the substrate comprises a plurality of interconnects. The first antenna device is coupled to the first surface of the substrate, through a first plurality of solder interconnects. The integrated device is coupled to the second surface of the substrate. The package may include an encapsulation layer located over the second surface of the substrate, where the encapsulation layer encapsulates the integrated device. The package may include a shield formed over a surface of the encapsulation layer, where the shield includes an electromagnetic interference (EMI) shield.

Abstract: Novel tools and techniques are provided for detecting and correcting anomalous events in real-time in as users enter data into a general ledger. In various embodiments, a computing system may receive one or more user inputs. The computing system might analyze the one or more user inputs to determine whether there are one or more anomalous transactions associated with the one or more user inputs by obtaining historical information associated with the one or more user inputs and correlating, using one or more machine learning algorithms, the historical information and the one or more user inputs to detect one or more anomalies. Based on the correlation between the historical information and the one or more first user inputs, the computing system might detect at least one anomalous transaction and might generate one or more recommended actions to correct the at least one anomalous transaction.

Abstract: A single stage electromagnetic interference (EMI) filter circuit includes a power source input configured to connect to a power source; an equivalent common mode and differential mode filter including a single inductor having both common mode inductance for common mode filtering and specific parasitic inductance; and a differential capacitance stage connected to the single inductor in parallel, wherein a combination of the specific parasitic inductance and capacitance of the differential capacitance stage are used to provide differential mode filtering.

Abstract: A diagnostics collection script is included in a container image. When an original instance of the container fails, a new instance of the container is started using the container image using a Docker compose YAML file having the diagnostics collection script as an entrypoint. The diagnostics collection script is configured to collect the logs of the original (now failed) container during the container start operation. In this manner, the container is able to be started in a safe mode and is isolated to only run the diagnostics collection script without disturbing the container's original settings. By recreating the exact environment of the failed container, and running diagnostics on the environment, it is possible to obtain the log files from the original container as well as to implement diagnostic operations on the environment of the original container, which can then be used to help diagnose why the original container failed.

Abstract: A system and methods are provided for an immersive group lighting interaction. A lighting infrastructure includes a plurality of independently controllable lighting devices. According to an embodiment, users may be granted access to control at least a portion of the lighting infrastructure. Rather than requiring the user to manually control the lighting infrastructure using, for example, the touch screen, a sensor associated with the user's mobile device may track the user. The sensor data may be classified and then mapped to a corresponding control instruction to control the lighting infrastructure. In another embodiment, a computing system receives sensor classifications from multiple users. If a threshold amount of a type of classification is received, the computing system controls a lighting infrastructure according to that type of classification.

Abstract: The present disclosure is directed to a rotating detonation combustor that includes a forward wall, a radially inner wall, and a radially outer wall. The forward wall is disposed at an inlet end of the rotating detonation combustor. The radially inner wall surrounds a longitudinal axis and extends downstream from the forward wall to an outlet end of the rotating detonation combustor. The radially outer wall extends downstream from the forward wall to the outlet end and surrounds the radially inner wall to define at least one annular plenum between the radially inner wall and the radially outer wall. At least one partition is proximate to the inlet end and defines at least two mixing zones. A plurality of oxidizer inlets and a plurality of fuel inlets are disposed at the inlet end in fluid communication with the at least two mixing zones.

Abstract: A method and system for modifying range of a battery of a personal transport device based on prosocial behavior is described. In one embodiment, the method includes detecting at least one object located on a path on which the personal transport device is traveling and calculating a prosocial yielding behavior parameter associated with the at least one object and the personal transport device. The method also includes comparing the calculated prosocial yielding behavior parameter to a threshold value. Based on the comparison of the calculated prosocial yielding behavior parameter to the threshold value, access is provided to at least a part of a power reserve portion of a battery of the personal transport device.

Abstract: A molecule representation is extracted from a document and associated with the document in a metadata database. For example, an image of a molecular structure may be extracted from a document and stored in the metadata database in a text-based representation such as SMILES. The metadata database may be searched to identify documents that mention a particular molecule. Continuing the example, the metadata database may be searched with a SMILES representation to identify the document and other documents that refer to the same molecule. The metadata database may index documents based on different types of molecule representations, including text-based, image-based, graph-based, name, abbreviation, etc. This allows search over multiple representations of a molecule, improving accuracy and thoroughness. These improvements reduce the time and computational resources needed to search for documents that refer to a particular molecule.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for pre-provisioning server nodes of a server rack and causing the pre-provisioned server node to be deployed on an edge zone of a cloud computing system. In particular, systems described herein involve identifying server nodes based on a customer hardware deployment request and performing a series of pre-provision acts to the server nodes in accordance with the received hardware deployment request. For example, systems described herein pre-provision the hardware by configuring hardware and software on the server nodes, establishing communication with one or more control planes on a datacenter, and bringing the server nodes to a return to web (RTW) state. By pre-provisioning the hardware, the server hardware may be delivered and transitioned to a live state in an efficient manner and without jeopardizing security on the cloud.

Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Abstract: Disclosed herein is a pharmaceutically effective composition comprising at least one of a phosphorothioate (PS)-based anti-miR-141-3p oligonucleotide; a peptide nucleic acid (PNA)-based anti-miR-141-3p oligonucleotide; and/or a gamma-peptide nucleic acid (?-PNA)-based anti-miR-141-3p oligonucleotide; where at least one of the foregoing oligonucleotides is encapsulated in a biocompatible nanoparticle.

Abstract: Certain aspects of the disclosure provide systems and methods for generating meaningful insights from a data frame based on an insight score. An insight score may quantify the significance and confidence of a given insight. Aspects of the disclosure provide for optimizing the most meaningful insight based on a greedy binary search approach. Aspects of the disclosure further provide for obtaining the optimal insight based on a gradient search approach.

Abstract: A drill-bit may include a head which includes a face and a gage. The face may include a plurality of face button bits. The gage may include a plurality of gage button bits evenly spaced around the head. A plurality of major chip gage gashes may be evenly spaced around the head. A plurality of minor chip gage gashes may be evenly spaced around the head. An axis extending through centers of the plurality of face button bits may extend through one of the plurality of major chip gage gashes and one of the plurality of minor chip gage gashes. The plurality of major chip gage gashes may alternate with the plurality of minor chip gage gashes around the head. One of the plurality of gage button bits may be disposed in-between every set of the alternating major chip gage gashes and minor chip gage gashes.

Abstract: In certain embodiments, a method includes receiving, at a framework controller executing, a test execution request comprising test parameters and an expected test outcome, wherein the test execution request comprises a request for testing a microservice architecture implemented in a cloud infrastructure; providing, by the framework controller, the test execution request and the test parameters to a framework injector executing on the one or more processors; providing, by the framework controller, the expected test outcome to a framework monitor executing on the one or more processors; executing, by the framework injector, a test corresponding to the test execution request using a test injector of a plurality of test injectors implemented by the framework injector; monitoring, by the framework monitor, a response of the microservice architecture of the cloud infrastructure to the test; and providing, by the framework controller and from the framework monitor, a test result based on the response.

Abstract: The present disclosure provides a system for predicting the difficulty of an exam question in which a training module uses training data to create a machine learning model to predict the difficulty of a question, and the difficulty module collects inputted questions and answers from a teacher that are inputted through an education network into the machine learning model, and the difficulty of the question is displayed.

Abstract: In some aspects of the disclosure, an apparatus includes a processing system that includes one or more processors and one or more memories coupled to the one or more processors. The processing system is configured to receive sensor data associated with a scene and to generate a cylindrical representation associated with the scene. The processing system is further configured to modify the cylindrical representation based on detecting a feature of the cylindrical representation being included in a first region of the cylindrical representation. Modifying the cylindrical representation includes relocating the feature from the first region to a second region that is different than the first region. The processing system is further configured to perform, based on the modified cylindrical representation, one or more three-dimensional (3D) perception operations associated with the scene.