Abstract: Systems, methods, and machine-storage mediums for optimizing snapshot image processing are described. The system receives a first read request to read data from optimized snapshot information including snapshot information and cached snapshot information. The first read request includes a first offset identifying a first storage location and a first length. The snapshot information includes a full snapshot and at least one incremental snapshot. The system identifies a first portion of the data is stored in the snapshot information responsive to identifying the first portion of the data is not stored in the cache snapshot information. The system identifies a second portion of data is stored in the optimized snapshot information, reads the first portion of data and the second portion of data from the optimized snapshot information, and communicates the data, including the first and second portions of the data, to the job.

Abstract: In one aspect, a method is disclosed for presenting, on a computing device, a graphical user interface (GUI) of a therapeutic tool. The method includes presenting, in a first screen of the GUI, a design space for a protein for an application, where the design space includes a set of sequences, where each sequence contains a respective set of activities pertaining to the application. The method also includes receiving, via a graphical element in the first screen, a selection of one or more query parameters of the design space, and presenting, in a second screen of the GUI, a solution space that includes a subset of the set of sequences, where each sequence contains the respective set of activities, where the subset of the set of sequences is selected based on the one or more query parameters.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: Apparatuses, systems, and techniques to generate and select grasp proposals. In at least one embodiment, grasp proposals are generated and selected using one or more neural networks, based on, for example, a latent code corresponding to an object.

Abstract: A fluorescence microscopy inspection system includes light sources able to emit light that causes a specimen to fluoresce and light that does not cause a specimen to fluoresce. The emitted light is directed through one or more filters and objective channels towards a specimen. A ring of lights projects light at the specimen at an oblique angle through a darkfield channel. One of the filters may modify the light to match a predetermined bandgap energy associated with the specimen and another filter may filter wavelengths of light reflected from the specimen and to a camera. The camera may produce an image from the received light and specimen classification and feature analysis may be performed on the image.

Abstract: Operating a gaseous fuel engine includes spark-igniting gaseous hydrogen fuel and air, and propagating combustion gases of the spark-ignited mixture outwardly from a spark gap. The propagating combustion gases are impinged upon a cone surface of a piston so as to limit a flame area of the propagating combustion gases. Additional gaseous hydrogen fuel and air is ignited in the combustion cylinder by way of the propagating combustion gases to urge a piston toward a bottom-dead-center position.

Abstract: An inspection apparatus includes a specimen stage configured to retain a specimen, at least three imaging devices arranged in a triangular array positioned above the specimen stage, each of the at least three imaging devices configured to capture an image of the specimen, one or more sets of lights positioned between the specimen stage and the at least three imaging devices, and a control system in communication with the at least three imaging devices.

Abstract: A solid-state switch for an external system includes a cover member, a first solid-state transducer, a second transducer, a microcontroller, a user feedback device, and a switching circuit. The first transducer is mechanically coupled to the cover member and configured to generate first signals in response to a perturbation at the cover member. The second transducer is configured to generate second signals in response to the perturbation. The microcontroller is configured to obtain first data from the first signals, second data from the second signals, and determine user inputs in accordance with at least the first data, the second data, and an operational state of the solid-state switch. The user feedback device is configured to provide feedback to a user of the switch in accordance with a switching behavior of the switching circuit.

Abstract: A training set that includes at least two data types corresponding to operations and control of a manufacturing process is obtained. A deep learning processor is trained to predict expected characteristics of output control signals that correspond with one or more corresponding input operating instructions. A first input operating instruction is received from a first signal splitter. A first output control signal is received from a second signal splitter. The deep learning processor correlates the first input operating instruction and the first output control signal. Based on the correlating, the deep learning processor determines that the first output control signal is not within a range of expected values based on the first input operating instruction. Responsive to the determining, an indication of an anomalous activity is provided as a result of detection of the anomalous activity in the manufacturing process.

Abstract: A system is disclosed herein. The system includes a splitter board. The splitter board includes a microprocessor, a converter, and a bypass relay. The converter includes analog-to-digital circuitry and digital-to-analog circuitry. The bypass relay is configurable between a first state and a second state. In the first state, the bypass relay is configured to direct an input signal to the converter. The converter converts the input signal to a converted input signal and splits the converted input signal into a first portion and a second portion. The first portion is directed to the microprocessor. The second portion is directed to an output port of the splitter board for downstream processes. In the second state, the bypass relay is configured to cause the input signal to bypass the converter. The bypass relay directs the input signal to the output port of the splitter board for the downstream processes.

Abstract: A humidification system can include a heater base, a humidification chamber, and a breathing circuit. A cartridge can be removably coupled to the heater base. The cartridge can include various sensors, probes, sensor wire connectors, heater wire connectors, and/or other features. The cartridge can include features configured to mate with corresponding features on the humidification chamber and the heater base. The cartridge includes a memory, such as an EEPROM, or other suitable storage device. When the cartridge is installed on the heater base, the memory is electrically connected to a processor and/or memory of the heater base. Various models of cartridges can be produced for use with different humidification chambers, breathing circuits, and/or therapies. A connector can be configured to couple an inspiratory conduit to an outlet port of the humidification chamber. The connector can provide a pneumatic connection to the outlet port and an electrical connection to the cartridge.

Abstract: Systems and methods for remotely verifying an identity of a user to open an account are provided. A method includes: receiving information relating to an identity of a first user from a first computing device associated with a second user, the information comprising contact information for the first user; sending a notification to a second computing device associated with the first user based on the information received from the first computing device; in response to receiving an affirmative reply from the second computing device, verifying the identity of the first user; and opening an account for the first user based on the identity of the first user being verified by receiving the affirmative reply from the second computing device.

Abstract: Mobile management method, system and client. Method includes receiving a DNS query for a host name from an application on client; retrieving reputation data associated with host name from a local cache on client; and determining a policy based on host name and the reputation data. Based on determined policy for the host name, blocking attempted network flows to a host corresponding to host name to produce blocked attempted network flows. Method also includes sending attempted network flow metadata related to the blocked attempted network flows to a collector on client; transmitting the attempted network flow metadata from the collector to a VPN server pool via a VPN tunnel; and producing an anomaly report from the transmitted attempted network flow metadata. The anomaly report includes at least one of anomalies, cohorts, trends, location boundaries, detected network security issues, detected compromised clients and/or optimized network usage.

Abstract: A method for network flow metadata processing at a network packet broker is described herein. The method includes, receiving, as input at a network packet broker, network traffic flow data, aggregating the network traffic flow data over a predefined time period to generate Internet protocol (IP) flow feature vectors containing metadata parameters associated with one or more particular endpoint devices, and providing the IP flow feature vectors to a machine learning element in the network packet broker. The method further includes identifying, by the machine learning element, anomalies existing in the metadata parameters included in the IP flow feature vectors, and automatically configuring one or more filter elements in the network packet broker in response to detecting the identified anomalies of the IP flow feature vectors.

Abstract: Ionic liquids that can be used to solvate cyclic carbonate esters and halogenated analogues thereof are disclosed.

Abstract: A method of producing plant virus-like particles includes freeze drying an aqueous solution of plant virus particles to produce a substantially RNA-free plant virus-like particles.

Abstract: A simulated process is initiated. The simulated process includes generating, by an emulator, a control signal based on external inputs. The simulated process further includes processing, by a simulator, the control signal to generate simulated response data. The simulated process further includes generating, by a deep learning processor, expected behavioral pattern data based on the simulated response data. An actual process is initiated by initializing setpoints for a process station in a manufacturing system. The actual process includes generating, by the deep learning processor, actual behavioral pattern data based on actual process data from the at least one process station. The deep learning processor compares the expected behavioral pattern to the actual behavioral pattern. Based on the comparing, the deep learning processor determines that anomalous activity is present in the manufacturing system. Based on the anomalous activity being present, the deep learning processor initiates an alert protocol.

Abstract: An asset tracking system includes a tracking device associated with a mobile asset and a centralized device management platform. The tracking device is configured via a set of device configurations. The centralized device management platform includes one or more processors in communication with the tracking device and computer-readable memory encoded with instructions that, when executed, cause the system to receive location data corresponding to a location of the tracking device; evaluate the location data to identify a zone corresponding to a physical region that includes the location of the tracking device; compare an identified zone with a set of location-based rules to identify a rule associated with the identified zone; update the set of device configurations with a device configuration that is associated with an identified rule; and sync an updated set of device configurations to the tracking device to reconfigure the tracking device based on the identified rule.

Abstract: Aspects of the disclosure provide for controlling an autonomous vehicle to enter a driveway. As an example, an instruction to pickup or drop off a passenger at a location may be received. It may be determined that the vehicle is arriving in a lane on an opposite side of a street as the location, the lane having a traffic direction opposite to a traffic direction of a lane adjacent to the location. A difficulty score to maneuver the vehicle to the lane adjacent to the location may be determined, and the difficulty score may be compared to a predetermined difficulty score. Based on the comparison, it may be determined to an available driveway on the same side of the street as the location. The vehicle may be controlled to enter the available driveway.

Abstract: An asset tracking system includes a tracking device associated with a mobile asset and a centralized device management platform. The tracking device is configured via a set of device configurations. The centralized device management platform includes one or more processors in communication with the tracking device and computer-readable memory encoded with instructions that, when executed, cause the system to receive location data corresponding to a location of the tracking device; evaluate the location data to identify a zone corresponding to a physical region that includes the location of the tracking device; compare an identified zone with a set of location-based rules to identify a rule associated with the identified zone; update the set of device configurations with a device configuration that is associated with an identified rule; and sync an updated set of device configurations to the tracking device to reconfigure the tracking device based on the identified rule.