Abstract: A system to manufacture a plurality of dies may include an etching tool, an electrically-conductive-adhesive-composition, a heat-applying-extraction-tool and a porous substrate cooperating with an evacuation component. The etching tool uses an ion beam that is configured to singulate a plurality of dies on a wafer with an ion etching process. The electrically-conductive-adhesive-composition is located between the wafer and a porous substrate carrying the wafer during the ion etching process. The electrically-conductive-adhesive-composition adheres the wafer to the porous substrate to keep the dies in place during the ion etching process. The electrically-conductive-adhesive-composition also aids in conducting electrons away from the wafer as a drain during the ion etching process.

Abstract: A variety of transmissions, and improvements thereof, are provided having improved efficiency and other benefits. The transmissions include one or more inner members that are driven by one or more cams or other means to engage in precessional rotation about an axis of rotation that, itself, orbits about a primary axis of rotation. A plurality of shaped rollers are in contact with shaped cutouts on the inner member(s) and on a ground member such that an input rotation/torque applied via the cam is realized as an output rotation/torque at an output member that is coupled to the inner member(s). Tire rollers and contact surfaces are shaped such that the rollers engage in rolling motion relative to the contact surfaces, providing improved efficiency. Multiple inner members, and corresponding sets of shaped rollers, can be provided to increase power capacity, reduce torque ripple, reduce wobble, or provide other benefits.

Abstract: An example genetically engineered effector cell comprises an exogenous polynucleotide sequence that includes a receptor element, an actuator element, and an effector element. The receptor element encodes a chimeric antigen receptor (CAR) comprising an extracellular antigen binding domain operably linked to a transmembrane domain, and an intracellular signaling domain, wherein the extracellular antigen binding domain recognizes an antigen on a surface of a Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)-infected cell. The actuator element encodes a transcription factor binding site that upregulates synthesis of an antiviral protein. The effector element encodes the antiviral protein operably linked to a signal peptide, wherein, in response to the antigen binding domain of the CAR binding to the antigen of SARS-CoV-2-infected cell, the engineered effector cell is configured to activate and, to synthesize and secrete the antiviral protein.

Abstract: Techniques for augmenting a reality captured by an image capture device are disclosed. In one example, a system includes an image capture device that generates a two-dimensional frame at a local pose. The system further includes a computation engine executing on one or more processors that queries, based on an estimated pose prior, a reference database of three-dimensional mapping information to obtain an estimated view of the three-dimensional mapping information at the estimated pose prior. The computation engine processes the estimated view at the estimated pose prior to generate semantically segmented sub-views of the estimated view. The computation engine correlates, based on at least one of the semantically segmented sub-views of the estimated view, the estimated view to the two-dimensional frame. Based on the correlation, the computation engine generates and outputs data for augmenting a reality represented in at least one frame captured by the image capture device.

Abstract: Artificial neural network systems involve the receipt by a computing device of input data that defines a pattern to be recognized (such as faces, handwriting, and voices). The computing device may then decompose the input data into a first subband and a second subband, wherein the first and second subbands include different characterizing features of the pattern in the input data. The first and second subbands may then be fed into first and second neural networks being trained to recognize the pattern. Reductions in power expenditure, memory usage, and time taken, for example, allow resource-limited computing devices to perform functions they otherwise could not.

Abstract: Various embodiments of the present disclosure are directed to compounds having Formula (I), Formula (IA), Formula (IB), Formula (IC), Formula (ID), Formula (IE), and/or pharmaceutically acceptable salts thereof. The compounds can be suitable for inhibiting lipoxygenases, and/or treating associated diseases, such as Alzheimer's disease. In some embodiments, the compounds may be administered to a patient as part of a pharmaceutical formulation.

Abstract: In general, the disclosure describes techniques for facilitating trust in neural networks using a trusted neural network system. For example, described herein are multi-headed, trusted neural network systems that can be trained to satisfy one or more constraints as part of the training process, where such constraints may take the form of one or more logical rules and cause the objective function of at least one the heads of the trusted neural network system to steer, during machine learning model training, the overall objective function for the system toward an optimal solution that satisfies the constraints. The constraints may be non-temporal, temporal, or a combination of non-temporal and temporal. The constraints may be directly compiled to a neural network or otherwise used to train the machine learning model.

Abstract: This disclosure generally relates to methods of making ibuprofen, naproxen, and derivatives thereof. This disclosure also generally relates to compounds made by the disclosed methods. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Abstract: Various embodiments of the present disclosure are directed to compounds having Formula I, Formula II, Formula IIA, Formula III, Formula IIIA, Formula IIIB, and/or pharmaceutically acceptable salts thereof. The compounds can be suitable for inhibiting lipoxygenases and/or treating associated diseases. In some embodiments, subject compounds are used to prepare a composition that is effective in treating neurodegenerative diseases.

Abstract: Example methods comprise administering an immunogenic vaccine composition to a subject, the immunogenic vaccine composition comprising a glycoconjugate. The method can further comprise, in response to the administration of the immunogenic vaccine composition, inducing production of anti-oligomannose antibodies in the subject and thereby eliciting an immune response to a viral pathogen in the subject.

Abstract: Techniques are disclosed for intelligently managing software development. In one example, a method for managing software development, includes receiving, by a computing system, a request to review source code written by a first developer, determining, by the computing system, a software skill set for the source code review, selecting, by the computing system, one or more selected source code reviewers from the pool of source code reviewers based on the software skill set and respective reputation scores for a pool of source code reviewers, assigning, by the computing system, one or more portions of the source code for code review to each of the selected source code reviewers, and determining, by the computing system, a consensus verification output on the code review based on review input from a majority of the selected source code reviewers.

Abstract: A method, apparatus and system for zero shot object detection includes, in a semantic embedding space having embedded object class labels, training the space by embedding extracted features of bounding boxes and object class labels of labeled bounding boxes of known object classes into the space, determining regions in an image having unknown object classes on which to perform object detection as proposed bounding boxes, extracting features of the proposed bounding boxes, projecting the extracted features of the proposed bounding boxes into the space, computing a similarity measure between the projected features of the proposed bounding boxes and the embedded, extracted features of the bounding boxes of the known object classes in the space, and predicting an object class label for proposed bounding boxes by determining a nearest embedded object class label to the projected features of the proposed bounding boxes in the space based on the similarity measures.

Abstract: In general, the disclosure describes various aspects of techniques for evaluating decisions determined by autonomous devices. A device comprising a memory and a processor may be configured to perform the techniques. The memory may store first state data representative of a first observational state detected by an autonomous device, and first action data representative of one or more first actions the autonomous device performs responsive to detecting the first observational state. The processor may execute a computation engine configured to identify, based on the first action data, a first inflection point representative of changing behavior of the autonomous device. The computation engine may further be configured to determine, based on the first inflection point, first explanatory data representative of portions of the first state data on which the autonomous device relied that explain the changing behavior of the autonomous device, and output the first explanatory data.

Abstract: A method, apparatus and system for providing process-level forensics for a plurality of application containers includes for each of the plurality of application containers; monitoring forensics information of the application container, encoding the monitored forensics information using an encoder of a predetermined encoder/decoder pair to determine a forensics model, decoding the forensics model to determine a reconstructed representation of the forensics information, comparing the reconstructed representation of the forensics information to the monitored forensics information to determine an error and comparing the error to a threshold to determine if an error above the threshold exists. If the error is below the threshold, the forensics model is communicated to a higher-level manager to be used for higher-level management. If the error is above the threshold, the monitored forensics information of the application container is also communicated to the higher-level manager.

Abstract: An integrated circuit having Radio Frequency Identification components and circuitry used for authentication is discussed. The RFID components and circuitry include two or more coils and corresponding electrical circuits that are tuned to use two or more different resonant frequencies including: a first resonant RF used for power generation and a second resonant RF used for data communication. The integrated circuit contains a unique signature that is used for the authentication with two or more aspects including i) a first aspect that is a programmed password in a memory embedded on the integrated circuit, and ii) a second aspect that is a unique, randomly generated code based upon a physical characteristic of the integrated circuit.

Abstract: A method, apparatus and system for malware characterization includes receiving data identifying a presence of at least one anomaly of a respective portion of a processing function captured by at least one of each of at least two different sensor payloads and one sensor payload at two different times, determining a correlation between the at least two anomalies identified by the data captured by the at least one sensor payloads, and determining a presence of malware in the processing function based on the determined correlation. The method, apparatus and system can further include predicting an occurrence of at least one anomaly in the network based on at least one of current sensor payload data or previously observed and stored sensor payload data, recommending and/or initiating a remediation action and reporting a result of the malware characterization to a user.

Abstract: Techniques are disclosed for training a machine learning model to perform actions within an environment. In one example, an input device receives a declarative statement. A computation engine selects, based on the declarative statement, a template that includes a template action performable within the environment. The computation engine generates, based on the template, synthetic training episodes. The computation engine further generates experiential training episodes, each experiential training episode collected by a machine learning model from past actions performed by the machine learning model. Each synthetic training episode and experiential training episode comprises an action and a reward. A machine learning system trains, with the synthetic training episodes and the experiential training episodes, the machine learning model to perform the actions within the environment.

Abstract: The disclosure includes an outer electrode and an inner electrode. The outer electrode defines an inner volume and is configured to receive injected electrons through at least one aperture. The inner electrode positioned in the inner volume. The outer electrode and inner electrode are configured to confine the received electrons in orbits around the inner electrode in response to an electric potential between the outer electrode and the inner electrode. The apparatus does not include a component configured to generate an electron-confining magnetic field.

Abstract: A variety of transmission mechanisms are provided that include split pulleys nested within each other in order to reduce the size of the transmissions, to provide infinitely variable transmission ratios that include forward and reverse ratios, or to provide some other benefits. The transmissions include multiple inner split pulleys nested within an outer split pulley. Two, three, or more inner split pulleys can be disposed within the transmission to balance the mass of the inner split pulleys in order to reduce vibration and internal stresses experienced by the transmission. This can increase the lifespan of the transmission, reduce wear, and increase efficiency. Additionally, providing multiple inner split pulleys in a nested configuration can allow for reduction of loads transmitted through bearings of the transmission.

Abstract: A system includes a substrate, a first and a second magnetic field sensor, and a computing device communicatively coupled to the first and second magnetic field sensors. The substrate has a surface encoded with a magnetic pattern sequenced along a direction of movement of the substrate. The magnetic pattern includes a data pattern that indicates a position of the substrate along the direction of movement and a clock pattern interleaved and substantially colinear with the data pattern that indicates a plurality of clock transitions. The computing device is configured to receive, from the first and second magnetic field sensors positioned above the magnetic pattern, a plurality of magnetic field signals detected from the magnetic pattern. The computing device is configured to determine, based on the plurality of magnetic field signals, the position of the substrate and output the position of the substrate.