Abstract: Methods and Apparatus related to generating representations of information. The information may include menu information for merchants such as restaurants. Referring to menus, methods may include receiving potential information for a first menu and receiving indications of associations of the information with the first menu and/or any number of additional menus. Information and/or associations may later be updated by a desired set of users.

Abstract: A computer-implemented method for representing and storing data in an extendable graph data structure using artificial intelligence includes obtaining business requirements data, business workflow data, and dictionary data. A relationship between one or more entities in the obtained business requirement data and the business workflow data is identified using the obtained dictionary data and applying a natural language processing technique and topic based trend identification from existing entities and associated attributes. An extendable graph data structure represented by an enriched adjacency matrix for the identified relationship between the one or more entities is generated and stored. One or more trends are identified using the stored graph data structure.

Abstract: The present disclosure provides systems and methods for training and/or employing machine-learned models (e.g., artificial neural networks) to diagnose chest conditions such as, as examples, pneumothorax, opacity, nodules or masses, and/or fractures based on chest radiographs. For example, one or more machine-learned models can receive and process a chest radiograph to generate an output. The output can indicate, for each of one or more chest conditions, whether the chest radiograph depicts the chest conditions (e.g., with some measure of confidence). The output of the machine-learned models can be provided to a medical professional and/or patient for use in providing treatment to the patient (e.g., to treat a detected condition).

Abstract: A method of managing liveness information of a first server of a plurality of servers sharing a file system includes: periodically reading an alarm bit of the first server from a region in the file system allocated for storing liveness information of the first server; after each read, determining a value of the alarm bit; and upon determining that the value of the alarm is a first value, changing the alarm bit to a second value, and writing the alarm bit having the second value in the region. The second value indicates to other servers of the plurality of servers that the first server is alive.

Abstract: A circuit includes a reference voltage generator circuit and a regulation loop circuit having an output voltage terminal. The regulator circuit further includes a fault detection circuit having a first input terminal coupled to the output voltage regulator terminal of the regulation loop circuit. The fault detection circuit asserts, on an output terminal of the fault detection circuit, a fault flag signal responsive to a voltage on the first input terminal falling below a first threshold. A programmable filter is coupled between the reference voltage generator circuit and the regulation loop circuit and is coupled to the fault detection circuit. The programmable filter has a programmable time constant. The programmable filter responds to an assertion of the fault flag signal by decreasing the time constant.

Abstract: A system including an attention neural network that is configured to receive an input sequence and to process the input sequence to generate an output is described. The attention neural network includes: an attention block configured to receive a query input, a key input, and a value input that are derived from an attention block input. The attention block includes an attention neural network layer configured to: receive an attention layer input derived from the query input, the key input, and the value input, and apply an attention mechanism to the query input, the key input, and the value input to generate an attention layer output for the attention neural network layer; and a gating neural network layer configured to apply a gating mechanism to the attention block input and the attention layer output of the attention neural network layer to generate a gated attention output.

Abstract: Aspects of the present invention relate to a portable electronic vaporizing device for use in the vaporization of substances, as well as a container for holding and heating a vaporizable product. Methods of using such a device and a removably attachable vaporization module that is compatible with the device are provided. A method of heating vaporizable substances is also provided.

Abstract: This disclosure relates to a method and system for monitoring health and predicting failure of an electro-mechanical machine. In an embodiment, the method may include receiving a plurality of operational parameters with respect to the electro-mechanical machine and determining a set of features and a set of events, based on the plurality of operational parameters. The method may further include detecting one or more fault signatures associated the electro-mechanical machine based on at least one of the plurality of operational parameters, the set of features, or the set of events. The method may further include determining at least one of a time to the possible failure and a remaining useful life of the electro-mechanical machine based on at least one of the plurality of operational parameters, the set of features, the set of events, or the one or more fault signature, by using a hybrid machine learning model.

Abstract: Techniques are disclosed for dynamically managing a cache. Certain techniques include clustering I/O requests into a plurality of clusters by a machine-learning clustering algorithm that collects the I/O requests into clusters of similar I/O requests based on properties of the I/O requests. Further, certain techniques include identifying, for a received I/O request, a cluster stored in the cache. Certain techniques further include loading a set of blocks of the identified cluster into the cache.

Abstract: Techniques for incorporating a black-box function into a neural network are described. For example, an image editing function may be the black-box function and may be wrapped into a layer of the neural network. A set of parameters and a source image are provided to the black-box function, and the output image that represents the source image with the set of parameters applied to the source image is output from the black-box function. To address the issue that the black-box function may not be differentiable, a loss optimization may calculate the gradients of the function using, for example, a finite differences calculation, and the gradients are used to train the neural network to ensure the output image is representative of an expected ground truth image.

Abstract: This disclosure relates to orthopaedic implant systems and methods for repairing bone defects and restoring functionality to a joint. The implant systems and methods disclosed herein may include augments extending from respective baseplates. The augments may have an internal network for communicating material in the respective implant.

Abstract: A digital data processing system includes a server digital data processor that maintains (i) one or more tables, each comprising records or other structured data (collectively, “records”), (ii) a schema for each of the remote app and of one or more of the tables dedicated to or associated with the app, where each schema comprises a collection of metadata for the respective app or table. A client digital data processor is at least intermittently connected for communications with the server, and a remote app executes on that client digital data processor. The app includes instructions to cause that digital data processor request a record from one of the tables, to update data in that record and to request storage of the update back to that table. The remote app utilizes the schemas to prefetch data from the one or more tables dedicated to or associated with the app.

Abstract: In one example, a method comprises: receiving assistance data from a location server; classifying a plurality of candidate cells in the assistance data into a first group of candidate cells and a second group of candidate cells, wherein the classification is based on whether a candidate cell transmits position reference signal (PRS) symbols in one or more multimedia broadcast single frequency network (MBSFN) subframes in a positioning occasion, and based on a cyclic prefix (CP) length of the PRS symbols being transmitted by the candidate cell in the positioning occasion; selecting, based on one or more predetermined criteria, one of the first group or the second group of candidate cells to measure the one or more PRS in the positioning occasion; and measuring the one or more PRS from one of the first group or the second group of candidate cells in the positioning occasion to measure PRS measurements.

Abstract: A system and method for optimal cooking operations and pre-hazard monitoring using continuous and adaptive machine learning enabling user specific and customizable optimizable, specific, and customizable cooking operations, and identification of pre-hazardous and user specific non-optimal conditions that may arise during cooking operations.

Abstract: An on-demand drug release system provides an implantable drug delivery platform including a drug embedded in a controllable drug release structure. The drug release structure binds or compartmentalizes the drug until release of the drug is initiated by absorption of a near infrared release signal provided by a health care professional. The system allows more effective therapeutic use of opioids and other drugs, and prevents their abuse.

Abstract: The present disclosure generally relates to a system and method for defending a utilities system against cyber-physical attacks associated with anomalies in a physical process operative in the utilities system. The defense system comprises: a set of sensors for collecting physical data associated with the physical process; a set of controller devices for monitoring process states of the physical process based on the physical data from the sensors; a set of verification devices for monitoring the physical process based on the physical data from the sensors, the physical data enabling the verification devices to detect the anomalies based on a set of invariants predefined for the physical process; and a set of actuators controllable by the controller devices or verification devices to remedy the anomalies and regulate the physical process, thereby defending the utilities system against the cyber-physical attacks.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a system output using a remembered value of a neural network hidden state. In one aspect, a system comprises an external memory that maintains context experience tuples respectively comprising: (i) a key embedding of context data, and (ii) a value of a hidden state of a neural network at the respective previous time step. The neural network is configured to receive a system input and a remembered value of the hidden state of the neural network and to generate a system output. The system comprises a memory interface subsystem that is configured to determine a key embedding for current context data, determine a remembered value of the hidden state of the neural network based on the key embedding, and provide the remembered value of the hidden state as an input to the neural network.

Abstract: In one example, a method comprises: receiving assistance data from a location server; classifying a plurality of candidate cells in the assistance data into a first group of candidate cells and a second group of candidate cells, wherein the classification is based on whether a candidate cell transmits position reference signal (PRS) symbols in one or more multimedia broadcast single frequency network (MBSFN) subframes in a positioning occasion, and based on a cyclic prefix (CP) length of the PRS symbols being transmitted by the candidate cell in the positioning occasion; selecting, based on one or more predetermined criteria, one of the first group or the second group of candidate cells to measure the one or more PRS in the positioning occasion; and measuring the one or more PRS from one of the first group or the second group of candidate cells in the positioning occasion to measure PRS measurements.

Abstract: Techniques are provided for utilizing notch filters to overcome narrowband jamming. An example method for determining a range to a satellite vehicle with a receiver includes receiving a signal from the satellite vehicle, determining one or more notch filter configurations, determining a pseudorandom noise code and a doppler frequency associated with the signal, determining a codephase correction value based at least on the one or more notch filter configurations, the pseudorandom noise code and the doppler frequency, and computing the range to the satellite vehicle based at least in part on the signal and the codephase correction value.