Abstract: An apparatus includes a flow cell body, a plurality of electrodes, an integrated circuit, and an imaging assembly. The flow cell body defines one or more flow channels and a plurality of wells. Each flow channel is configured to receive a flow of fluid. Each well is fluidically coupled with the corresponding flow channel. Each well is configured to contain at least one polynucleotide. Each electrode is positioned in a corresponding well of the plurality of wells. The electrodes are operable to effect writing of polynucleotides in the corresponding wells. The integrated circuit is operable to drive selective deposition or activation of selected nucleotides to attach to polynucleotides in the wells to thereby generate polynucleotides representing machine-written data in the wells. The imaging assembly is operable to capture images indicative of one or more nucleotides in a polynucleotide.

Abstract: The present invention addresses the need for improved virtualized cloud infrastructure policy implementation and management in order allow real-time monitoring and optimization of virtualized resources. It provides systems and methods for real-time cloud infrastructure policy implementation and management that include a plurality of host devices, a plurality of real-time probe agents associated with the plurality of host devices operating on each of the plurality of host devices, and a policy engine communicatively coupled to the plurality of host devices and containing a policy associated with an application program deployed in at least one of the plurality of host devices. The policy engine is programmed to monitor in real time changes in deployment of the application program across the plurality of host devices and to push the policy to the real-time probe agent operating on each host device on which the application program is deployed.

Abstract: Embodiments disclosed herein provide systems, methods, and computer readable media for infinite versioning by automatic coalescing. In a particular embodiment, a method provides determining an age range for a plurality of data versions stored in a secondary data repository and identifying first data versions of the plurality of data versions that are within the age range. The method further provides determining a compaction ratio for the first data versions and compacting the first data versions based on the compaction ratio.

Abstract: Systems and methods of generating voice-based software applications are provided. A system can receive, from an application developer computing device, a request to build a voice-based software application. The system can select an application template from a plurality of application templates. The selected application template can include a module that corresponds to a function of the voice-based software application. The system can provide the selected application template to the application developer computing device. The system can receive, from the application developer computing device, an input for a field of the at least one module of the selected application template. The system can generate the voice-based software application based on the selected application template and the input for the at least one field of the at least one module of the selected application template.

Abstract: Described herein is a system for predictive image analysis to provide a response to a user input. To reduce a system response time when responding to user inputs that relate to image data analysis, the system processes data relating to past user inputs to predict when a user may request information relating to image data. Using pattern data (determined by the system), the system determines that a trigger to initiate image analysis occurred. The trigger may indicate that the system is expected to receive a user input relating to image data. The system processes image data, in advance of receiving the user input, to determine and store feature data that can be used to generate an output responsive to a user input. Then when the user input is received, the system sends output data (generated using the determined feature data) responsive to the user input.

Abstract: A guided search system for suggesting and arranging filter criteria within a user interface for presentation to a user to help guide the user's search for listings is disclosed. The system builds one or more filter criteria frequency data structures indicative of the number of times each filter criterion has been used to filter search results and how often different filter criteria are used together. The system uses the frequency data structures to predict which filter criteria a user will likely employ to narrow their search given the filter criteria the user has already used. The system provides techniques for arranging or rearranging filter criteria within a user interface, by moving, placing, or ordering suggested filter criteria within the user interface, where a user is likely to be able to recognize and interact with the placed filter criteria, based on the determined amounts of use.

Abstract: Some embodiments include a method of forming an arrangement. A first tier is formed to include CMOS circuitry. A second tier is formed to include an assembly which has first and second sets of memory cells on opposing sides of a coupling region. A support material is adjacent the first and second sets of the memory cells, and an intervening material is adjacent the support material. The support material has a different composition than the intervening material. A conductive interconnect extends through the intervening material. An upper surface of the assembly is polished to reduce an overall height of the assembly. The support material provides support during the polishing to protect the memory cells from being eroded during the polishing. The conductive interconnect of the second tier is coupled with the CMOS circuitry of the first tier. Some embodiments include multitier arrangements.

Abstract: A system writes input data to a storage device as machine-written polynucleotides; and reads machine written polynucleotides from the storage device as output data. The storage device includes a flow cell including a plurality of storage wells in which machine written polynucleotides may be stored. The storage device may include a set of electrodes corresponding to the storage wells that allow for selective interactions with wells across the surface of a flow cell. Operation of the storage device may include receiving a read request associated with a particular location in the storage device, creating a copy of a nucleotide sequence located at the particular location in the storage device, transferring the copy of the nucleotide sequence to a read location, and reading the copy of the nucleotide sequence at the read location.

Abstract: Systems and methods include, based on monitoring of content including Office documents, determining distribution of malicious Office documents between documents having malicious macros and documents having malicious embedded objects; determining features for the documents having malicious macros and for the documents having malicious embedded objects; selecting training data for a machine learning model based on the distribution and the features; and training the machine learning model with the selected training data.

Abstract: The invention provides a system for growth of one or more crystalline materials, specifically diamonds. The system comprises a microwave generator integrated with a pressure controller and an Optical Emission Spectrometer (OES) to form an Integrated Microwave Generator System (IMGS). The OES provides a real-time feedback loop to an IMGS controller based on microwave plasma input from a microwave plasma reactor, to control one or more parameters (power, pressure, power density, and pulsed power) in a closed loop and maintain required proposition of plasma constituents for the growth of diamonds in the microwave plasma reactor. The OES monitors real-time concentration of plasma constituents just above the growing surface of diamonds and feeds the real-time information to the IMGS controller to automatically adjust power density to maintain the concentration of plasma constituents on the growing surface of diamonds.

Abstract: An example of a flow cell includes a substrate and a cationic polymeric hydrogel on the substrate. The cationic polymeric hydrogel includes a cationic moiety that is i) integrated into a monomeric unit of an initial polymeric hydrogel or ii) attached to the monomeric unit of the initial polymeric hydrogel through a linker. The flow cell further includes an amplification primer attached to the cationic polymeric hydrogel.

Abstract: Systems and methods include determining a plurality of features associated with executable files, wherein the plurality of features are each based on static properties in predefined structure of the executable files; obtaining training data that includes samples of benign executable files and malicious executable files; extracting the plurality of features from the training data; and utilizing the extracted plurality of features to train a machine learning model to detect malicious executable files.

Abstract: A method for making a flavour modifying ingredient, the method comprising subjecting a dietary fibre to enzymatic hydrolysis and/or fermentation; flavour modifying ingredients obtainable by said method; flavour compositions and food products comprises said flavour modifying ingredient; uses of said flavour modifying ingredient.

Abstract: Various embodiments of the present disclosure are directed to automatic network architecture configuration maintenance. A network architecture for a particular organization, user, or other entity, may include various networked devices, any of which may be vulnerable to one or more cyberattacks due to outdated software, hardware, and/or firmware configurations. Embodiments include apparatuses, computer program products, and methods for retrieving an updated device configurations data object, identifying a vulnerable networked device set based at least in part on the updated device configurations data object and a detected networked device set, and generating a device cyber risk score data object set that may be output and/or otherwise provided to one or more systems, devices, or the like.

Abstract: A system and method for predicting a lung cancer risk based on a chest X-ray in which a nodule is detected in a chest of a patient based on an analysis of the chest X-ray using an image processing technique. A region of interest associated with the nodule is identified using the image processing technique. The region of interest is further analyzed using deep learning to determine a plurality of characteristics associated with the nodule. The plurality of characteristics comprises a size of the nodule, a calcification in the nodule, a homogeneity of the nodule and a spiculation of the nodule. Further, the plurality of characteristics is compared with a trained data model using deep learning. Based on the comparison, a risk score associated with the nodule is generated. Further, the lung cancer risk is predicted when the risk score exceeds a predefined threshold value.

Abstract: A device may receive video data associated with a video, and may identify image data associated with the video data and that corresponds to a frame of the video. The device may process the image data, with an image analysis model, to determine an image compliance score associated with a policy and with context of the image data, and may identify text data associated with the video data. The device may process the text data, with a text analysis model, to determine a text compliance score associated with the policy and with context of the text data, and may determine, based on the image compliance score and the text compliance score, an aggregate compliance score associated with the frame. The device may determine whether the aggregate compliance score satisfies a threshold associated with the policy, and may perform actions based on whether the aggregate compliance score satisfies the threshold.

Abstract: A supply chain forecasting system with blockchain controls is discussed. The supply chain forecasting system can include a central computing system communicating with a third party computing system. The central computing system and third party computing system can initiate, adjust, and fulfill smart contracts associated with the delivery of physical objects using blockchain controls.

Abstract: The technology disclosed herein enables representation of data access authorizations using a privilege graph. In a particular embodiment, a method includes identifying first attributes of a first user. The method further includes traversing nodes of a privilege graph using the first attributes to determine subsequent nodes until one or more nodes representing a first subset of environments of a plurality of data environments is reached. The method also includes authorizing the first user to access the first subset.

Abstract: The technology disclosed herein enables generation of a privilege graph to represent data access authorizations. In a particular embodiment, a method includes extracting identity information for a plurality of users from a plurality of identity environments and privilege information from a plurality of data environments. The method further includes forming subgraphs for the identity environments and the data environments from the identity information and the privilege information. The method also includes translating the subgraphs into a canonical schema and, after translating the subgraphs, combining the subgraphs into the privilege graph.

Abstract: An alarm service can receive an alarm rule as an “intent” that defines a rule in a high level “natural language.” An alarm rule compiler can receive the intent and translate the high level intent into one or more lower level rules that can be programmatically processed by multiple alarm rule execution engines. Devices in a network system can be associated with alarm rule execution engines in a distributed manner. For example, devices in a network can be associated with different instances of an alarm rule execution engine, thus distributing the resource usage for obtaining telemetry data and processing alarms with respect to the devices in a network across multiple alarm rule execution engines.