Abstract: A memory circuit includes an array of memory cells arranged in rows and columns. A word line is connected to the memory cells of each row. A row decoder circuit operates in response to an internal clock and an address to selectively apply a word line signal to one word line and further generate a dummy word line signal. A control circuit includes a clock generator that generates the internal clock which is reset in response to a reset signal. A first delay circuit receives the dummy word line signal and outputs a first delayed dummy word line signal. A second delay circuit receives the dummy word line signal and outputs a second delayed dummy word line signal. A multiplexer circuit selects between the first and second delayed dummy word line signals for output as the reset signal in response to a logic state of a mode control signal.

Abstract: A system for driver risk analysis includes and/or interfaces with: a processing subsystem, a set of sensors, and a set of models and/or algorithms. Additionally or alternatively, the system can include and/or interface with any or all of: a software platform, a set of client applications, a set of user devices, and/or any other components. A method for driver risk analysis can include any or all of: collecting a set of data; analyzing the set of data to determine a set of features; analyzing the set of data to produce a set of driver risk outputs; and triggering a set of actions based on the set of driver risk outputs. Additionally or alternatively, the method can include any or all of: determining eligibility criteria associated with a set of end entities; modifying any or all of the collection of data and/or the analysis of data and/or the driver risk outputs based on the eligibility criteria; training and/or updating a set of models and/or algorithms; and/or any other processes.

Abstract: A memory circuit includes an address port, a data input port and a data output port. An upstream shadow logic circuit is coupled to provide address data to the address port of the memory circuit and input data to the data input port of the memory circuit. A downstream shadow logic circuit is coupled to receive output data from the data output port of the memory circuit. The memory circuit includes a bypass path between the address port and the data output port. This bypass path is activated during a testing operation to pass bits of the address data (forming test data) applied by upstream shadow logic circuit from the address port to the data output port.

Abstract: Recommending machine learning models is provided. The method comprises training machine learning models, wherein each machine learning model is trained with a unique respective dataset. Metadata associated with each machine learning model is extracted, wherein the metadata includes properties of the respective dataset used to train the machine learning model. The machine learning models and metadata are stored in a model catalog. Upon receiving a new dataset, similarity scores are calculated between the new dataset and the machine learning models in the model catalog according to the properties of the datasets in the metadata of the machine learning models. A closest match machine learning model is identified from the model catalog for the new dataset according to similarity score. Responsive to a determination that the closest match machine learning model exceeds a similarity threshold, predictions for the new dataset are generated with the closest match machine learning model.

Abstract: A switching unit (200) including a membrane (202), a housing (210), at least one rotary switch (204), at least one knob (216), and a sealing member (214). The membrane (202) defines a first opening (230) adapted to receive a portion of at least one rotary switch (204). The housing (210) defines a second opening adapted to be aligned with the first opening (230) to receive the portion of the at least one rotary switch (204). The at least one rotary switch (204) is disposed in the housing (210). The at least one knob (216) mounted on the at least one rotary switch (204). The sealing member (214) is positioned on the housing (210) in the second opening (231), around the at least one rotary switch (204), between the at least one knob (216) and the housing (210).

Abstract: An experience rating and skill discovery system (ERSDS) and a method for determining credibility of experience ratings provided by one or more reviewers and discovering skills of opportunity seekers based on a relationship between the reviewers and the opportunity seekers are provided. A skill profile module of the ERSDS reads profile data from a user profile list and generates a skills profile list. An invitation module transmits invitations to reviewer devices for providing the experience ratings.

Abstract: One embodiment provides a method, including: receiving, from a user at a collaboration platform, a request to perform a computation; generating a workflow comprising a sequence of steps for performing the computation; identifying potential data sources comprising the type of data and able to assist in performing at least one of the sequence of steps of the workflow; selecting computation data sources that collaborate to perform the computation, wherein the selecting is performed dynamically and based upon characteristics of a network created by the collaboration platform and between the computation data sources; and facilitating performance of the computation by the computation data sources using data of the computation data sources, wherein during performance of the computation the computation data sources collaborate within the network to perform the workflow while maintaining individual privacy of the data of the computation data sources and providing proof verifying a trustworthiness of the computation.

Abstract: A hood assembly for a heating, ventilation, and air conditioning (HVAC) unit includes a top panel comprising a first panel portion and a second panel portion adjustably coupled to one another, wherein the top panel is configured to rotatably couple to a housing of the HVAC unit. The hood assembly further includes a filter frame rotatably coupled to the top panel, wherein the filter frame is configured to support at least one filter. The hood assembly is adjustable between a collapsed configuration and a deployed configuration, the first panel portion and the second panel portion are configured to translate relative to one another during transition of the hood assembly between the collapsed configuration and the deployed configuration, and the top panel is configured to contain the filter frame within the housing in the collapsed configuration.

Abstract: An array of a memory includes sub-arrays with memory cells arranged in a row-column matrix where each row includes a word line and each sub-array column includes a local bit line. A row decoder supports two modes of memory operation: a first mode where only one word line in the memory array is actuated during a read and a second mode where one word line per sub-array are simultaneously actuated during the read. An input/output circuit for each column includes inputs to the local bit lines of the sub-arrays, a column data output coupled to the bit line inputs, and a sub-array data output coupled to each bit line input. BIST testing of the input/output circuit is supported through data at both the column data output and the sub-array data outputs in order to confirm proper memory operation in support of both the first and second modes of operation.

Abstract: The memory array of a memory includes sub-arrays with memory cells arranged in a row-column matrix where each row includes a word line and each sub-array column includes a local bit line. A row decoder circuit supports two modes of memory circuit operation: a first mode where only one word line in the memory array is actuated during a memory read and a second mode where one word line per sub-array are simultaneously actuated during the memory read. An input/output circuit for each column includes inputs to the local bit lines of the sub-arrays, a column data output coupled to the bit line inputs, and a sub-array data output coupled to each bit line input. Both BIST and ATPG testing of the input/output circuit are supported. For BIST testing, multiple data paths between the bit line inputs and the column data output are selectively controlled to provide complete circuit testing.

Abstract: This disclosure describes techniques for device authentication and/or pairing. A display system can comprise a head mountable display, computer memory, and processor(s). In response to receiving a request to authenticate a connection between the display system and a companion device (e.g., controller or other computer device), first data may be determined, the first data based at least partly on audio data spoken by a user. The first data may be sent to an authentication device configured to compare the first data to second data received from the companion device, the second data based at least partly on the audio data. Based at least partly on a correspondence between the first and second data, the authentication device can send a confirmation to the display system to permit communication between the display system and companion device.

Abstract: Disclosed herein are systems and methods for device authentication or pairing. In an aspect, a wearable display system comprises a display, an image capture device configured to capture images of a companion device, a computer-readable storage medium configured to store the images of the companion device, and a processor in communication with the image capture device and the storage medium. The processor can be programmed with executable instructions to receive a first image of a first optical pattern displayed by the companion device captured by the image capture device, wherein the first optical pattern is generated by the companion device based on first shared data, extract first data from the first optical pattern in the received first image, authenticate the companion device based on the first data extracted from the first optical pattern, and notify a user of the wearable display system that the companion device is authenticated.

Abstract: There is provided a system and a method comprising obtaining a sequence of a plurality of frames of an area of a specimen, wherein at least one frame of the sequence is transformed with respect to another frame, obtaining a reference frame based at least on a first frame of the sequence, determining, based on the reference frame, a reference pattern, wherein the reference pattern is informative of a structural feature of the specimen in the area, for a given frame of the sequence, determining, based on the given frame, a pattern informative of said structural feature in the area, determining data Dshrinkage informative of an amplitude of a spatial transformation between the reference pattern and the pattern, generating a corrected frame based on said pattern and Dshrinkage and generating an image of the area.

Abstract: One embodiment provides a method, including: receiving, at a service provider and from a user, a request for computation of a function, wherein the request includes a description of the function to be computed and requirements of the user; identifying, from data sources accessible to the service provider, a plurality of data sources to participate in the computation in view of the requirements and the description of the function, wherein each of the plurality of data sources includes data of a data owner and constraints on use of the data; identifying a multi-party computation protocol and parameters of the multi-party computation protocol for performing the computation; and running the computation of the function using the data of the plurality of data sources and in view of the requirements of the user and the constraints of the plurality of data sources.

Abstract: An example operation may include one or more of generating, by an executing client, a blockchain transaction comprising an anonymous rating, a proof, a nullifier, and a root node value, receiving, by a smart contract, the blockchain transaction, the anonymous rating related to an authorizing client, verifying the proof with the root node value and the nullifier, verifying that the root node value is a current or a previous merkle tree root node value, adding the anonymous rating to a shared ledger, marking the nullifier as used, and storing the marked nullifier to the shared ledger.

Abstract: One embodiment provides a method, including: receiving, at a service provider and from a user, a request for computation of a function, wherein the request includes a description of the function to be computed and requirements of the user; identifying, from data sources accessible to the service provider, a plurality of data sources to participate in the computation in view of the requirements and the description of the function, wherein each of the plurality of data sources includes data of a data owner and constraints on use of the data; identifying a multi-party computation protocol and parameters of the multi-party computation protocol for performing the computation; and running the computation of the function using the data of the plurality of data sources and in view of the requirements of the user and the constraints of the plurality of data sources.

Abstract: One embodiment provides a method, including: receiving, from a user at a collaboration platform, a request to perform a computation; generating a workflow comprising a sequence of steps for performing the computation; identifying potential data sources comprising the type of data and able to assist in performing at least one of the sequence of steps of the workflow; selecting computation data sources that collaborate to perform the computation, wherein the selecting is performed dynamically and based upon characteristics of a network created by the collaboration platform and between the computation data sources; and facilitating performance of the computation by the computation data sources using data of the computation data sources, wherein during performance of the computation the computation data sources collaborate within the network to perform the workflow while maintaining individual privacy of the data of the computation data sources and providing proof verifying a trustworthiness of the computation.

Abstract: Network identifiers are extracted from route advertisements. A table associates virtual network identifiers with provider edge devices. When a virtual network identifier extracted from a route advertisement matches a virtual network identifier in the table, the route advertisement is propagated to the provider edge devices associated with that virtual network identifier in the table. The route advertisement is not propagated to provider edge devices not associated with that virtual network identifier in the table.

Abstract: An example operation may include one or more of receiving, from an executing client, a blockchain transaction comprising an anonymous rating related to an authorizing client, a merkle tree root node value, a proof, and a nullifier, and in response, executing, by a smart contract, a valid historical value assert call on a lookback key storing the merkle tree root node value, verifying, through a valid historical value assert call, that the merkle tree root node value is a current or previous value of the merkle tree root node value, verifying the proof with the merkle tree root node value and the nullifier, adding the anonymous rating to a shared ledger, marking the nullifier as used, and storing the marked nullifier to the shared ledger.