Abstract: Term masking is performed by generating a time-alignment value for a plurality of identifiable units of sound in vocal audio content contained in a mixed audio track, force-aligning each of the plurality of identifiable units of sound to the vocal audio content based on the time-alignment value, thereby generating a plurality of force-aligned identifiable units of sound, identifying from the plurality of force-aligned identifiable units of sound a force-aligned identifiable unit of sound to be muddled, and audio muddling the force-aligned identifiable unit of sound to be muddled.

Abstract: A bracket assembly having an upper leg and a lower leg for releasably and nondestructively engaging a shelf is provided. A spacer portion interconnects the upper leg and the lower leg, wherein at least one of the upper leg, the lower leg and spacer portion is configured to exert a clamping force on the shelf. A hook assembly extends from the lower leg and is configurated to retain produce such as bananas during ripening.

Abstract: Data indicative of a plurality of observations of an environment are received at a control system. Machine learning using deep reinforcement learning is applied to determine an action based on the observations. The deep reinforcement learning applies a convolutional neural network or a deep auto encoder to the observations and applies a training set to locate one or more regions having a higher reward. The action is applied to the environment. A reward token indicative of alignment between the action and a desired result is received. A policy parameter of the control system is updated based on the reward token. The updated policy parameter is applied to determine a subsequent action responsive to a subsequent observation.

Abstract: An example SPR detection system includes a first prism having a first surface adjacent to a first metal layer exposed to a sample gas, and a second prism having a second surface adjacent to a second metal layer exposed to a reference gas. At least one light source is configured to provide respective beams to the first and second surfaces, where each of the beams causes SPR of a respective one of the metal layers. At least one photodetector is configured to measure a reflection property of reflections of the respective beams from the metal layers during the SPR. A controller is configured to determine whether a target gas is present in the sample gas based on a known composition of the reference gas and at least one of an electrical property of the first and second metal layers during the SPR and the reflection property of the metal layers.

Abstract: A method for searching video includes receiving a video query, the video query including a first video query term identifying a first foreground object, a second video query term identifying a second foreground object, and a third video query term identifying a spatiotemporal relationship; searching the video in response to the video query for the first foreground object and the second foreground object within the spatiotemporal relationship; and generating a search result in response to the searching.

Abstract: Term masking is performed by generating a time-alignment value for a plurality of identifiable units of sound in vocal audio content contained in a mixed audio track, force-aligning each of the plurality of identifiable units of sound to the vocal audio content based on the time-alignment value, thereby generating a plurality of force-aligned identifiable units of sound, identifying from the plurality of force-aligned identifiable units of sound a force-aligned identifiable unit of sound to be muddled, and audio muddling the force-aligned identifiable unit of sound to be muddled.

Abstract: Disclosed is an escalator system that has: an escalator step; and load sensors secured to the escalator step, wherein the load sensors are configured to: sense an escalator loading; and transfer, to an escalator controller, sensor data indicative of the escalator loading.

Abstract: A method includes detecting at least one region of interest in a frame of image data. One or more patches of interest are detected in the frame of image data based on detecting the at least one region of interest. A model including a deep convolutional neural network is applied to the one or more patches of interest. Post-processing of a result of applying the model is performed to produce a post-processing result for the one or more patches of interest. A visual indication of a classification of defects in a structure is output based on the result of the post-processing.

Abstract: Vacuum-integrated photoresist-less methods and apparatuses for forming metal hardmasks can provide sub-30 nm patterning resolution. A metal-containing (e.g., metal salt or organometallic compound) film that is sensitive to a patterning agent is deposited on a semiconductor substrate. The metal-containing film is then patterned directly (i.e., without the use of a photoresist) by exposure to the patterning agent in a vacuum ambient to form the metal mask. For example, the metal-containing film is photosensitive and the patterning is conducted using sub-30 nm wavelength optical lithography, such as EUV lithography.

Abstract: The present invention provides for novel compounds of Formula (I) and pharmaceutically acceptable salts and co-crystals thereof which have glucagon receptor antagonist or inverse agonist activity. The present invention further provides for pharmaceutical compositions comprising the same as well as methods of treating, preventing, delaying the time to onset or reducing the risk for the development or progression of a disease or condition for which one or more glucagon receptor antagonist is indicated, including Type I and II diabetes, insulin resistance and hyperglycemia. The present invention also provides for processes of making the compounds of Formula I, including salts and co-crystals thereof and pharmaceutical compositions comprising the same.

Abstract: A method for automatically constructing and organizing a navigation graph includes receiving input data including a plurality of reports, at least two of the reports including plots, extracting a plurality of variables from the plots, building a knowledge graph from the input, wherein each node of the knowledge graph is associated with an individual one of the plots and an edge is added between two of the nodes sharing at least one of the variables in common, adding an edge weight to each of the edges of the knowledge graph, and organizing the nodes of the knowledge graph for navigation, wherein the knowledge graph is displayed in a user interface.

Abstract: A sub-process sequence is identified from a temporal dataset. Based on time information, predictors are categorized as being available or not available during time periods. The predictors are used to make predictions of quantities that will occur in a future time period. The predictors are grouped into groups of a sequence of sub-processes, each including a grouping of one or more of the predictors. Information is output that allows a human being to modify the groups. The groups are finalized, responsive to any modifications. Prediction models are extracted based on dependencies between groups and sub-processes. A final predication model is determined based on a prediction model from the prediction models that best meets criteria. A dependency graph is generated based on the final prediction model. Information is output to display the final dependency graph for use by a user to adjust or not adjust elements of the sequential process.

Abstract: A method of compressing data in the context of a decision-making task includes receiving raw data, analyzing the raw data to determine content of the raw data, and adjusting one or more one data compression parameters in a compression algorithm. The adjustment of the one or more compression parameters is based on the content of the raw data and a received decision-making task to produce a modified compression algorithm. The raw data is thereafter compressed using the modified compression algorithm and output as compressed data.

Abstract: Systems, apparatuses, and methods for processing load instructions are disclosed. A processor includes at least a data cache and a load queue for storing load instructions. The load queue includes poison indicators for load instructions waiting to reach non-speculative status. When a non-cacheable load instruction is speculatively executed, then the poison bit is automatically set for the load instruction. If a cacheable load instruction is speculatively executed, then the processor waits until detecting a first condition before setting the poison bit for the load instruction. The first condition may be detecting a cache line with data for the load instruction being evicted from the cache. If an ordering event occurs for a load instruction with a set poison bit, then the load instruction may be flushed and replayed. An ordering event may be a data barrier or a hazard on an older load targeting the same address as the load.

Abstract: A material characterization system includes an imaging unit, a material characterization controller, and an imaging unit controller. The electronic imaging unit generates a test image of a specimen composed of a material. The electronic material characterization controller determines values of a plurality of parameters and maps the parameters to corresponding ground truth labeled outputs. The mapped parameters are applied to at least one test image to predict a presence of at least one target attribute of the specimen in response to applying the learned parameters. The test image is convert to a selected output image format so as to generate a synthetic image including the predicted at least one attribute. The electronic imaging unit controller performs a material characterization analysis that characterizes the material of the specimen based on the predicted at least one attribute included in the synthetic image.

Abstract: According to an embodiment of the present disclosure, a method of training a machine learning model is provided. Input data is received from at least one remote device. A classifier is evaluated by determining a classification accuracy of the input data. A training data matrix of the input data is applied to a selected context autoencoder of a knowledge bank of autoencoders including at least one context autoencoder and the training data matrix is determined to be out of context for the selected autoencoder. The training data matrix is applied to each other context autoencoder of the at least one autoencoder and the training data matrix is determined to be out of context for each other context autoencoder. A new context autoencoder is constructed.

Abstract: A method of monitoring a conveyance apparatus within a conveyance system including: detecting a vibratory signature at a primary location during a commissioning phase using a primary sensing apparatus located at the primary location; detecting a vibratory signature at a secondary location during the commissioning phase using a secondary sensing apparatus located at the secondary location; determining a transfer algorithm in response to the vibratory signature at the primary location during the commissioning phase and the vibratory signature at the secondary location during the commissioning phase; detecting a vibratory signature at the primary location during a normal operation phase using the primary sensing apparatus located at the primary location; and converting the vibratory signature at the primary location during the normal operation phase to a vibratory signature at the secondary location during the normal operation phase using the transfer algorithm.

Abstract: Disclosed herein are antimicrobial compounds compositions, pharmaceutical compositions, the method of use and preparation thereof. Some embodiments relate to boronic acid derivatives and their use as therapeutic agents, for example, ?-lactamase inhibitors (BLIs).

Abstract: Systems, apparatuses, and methods for implementing a non-shifting reservation station. A dispatch unit may write an operation into any entry of a reservation station. The reservation station may include an age matrix for determining the relative ages of the operations stored in the entries of the reservation station. The reservation station may include selection logic which is configured to pick the oldest ready operation from the reservation station based on the values stored in the age matrix. The selection logic may utilize control logic to mask off columns of an age matrix corresponding to non-ready operation so as to determine which operation is the oldest ready operation in the reservation station. Also, the reservation station may be configured to dequeue operations early when these operations do not have load dependency.

Abstract: Disclosed herein are antimicrobial compounds, compositions, pharmaceutical compositions, and the use and preparation thereof. Some embodiments relate to cyclic boronic acid ester derivatives and their use as therapeutic agents.