Abstract: A vibration transducer for sensing vibrations includes a first flexible triboelectric member, a second flexible triboelectric member, a plurality of attachment points, a first electrode and a second electrode. The first flexible triboelectric member includes a first triboelectric layer and a material being on a first position on a triboelectric series. A conductive layer is deposited on the second side thereof. The second flexible triboelectric member includes a second triboelectric layer and a material being on a second position on the triboelectric series that is different from the first position on the triboelectric series. The second triboelectric member is adjacent to the first flexible triboelectric member. When the first triboelectric member comes into and out of contact with the second triboelectric member as a result of the vibrations, a triboelectric potential difference having a variable intensity corresponding to the vibrations can be sensed between the first and second triboelectric members.

Abstract: A circuit is provided. The circuit includes a sampling circuit connectable to a multibit memory array and that samples a voltage across a sampling capacitor, a capacitance network including a plurality of capacitors and switching elements such that the capacitance network has a capacitance that depends on the configuration of the switching elements, and a buffering circuit configured to charge the capacitance of the capacitance network based on the voltage across the sampling capacitor. The circuit is configured to operate the capacitance network in a first state and a second state, wherein the capacitance in the states depends on an input value to the circuit. The circuit is also configured to charge the capacitance network in the first state and to allow the charge to redistribute within the capacitance network when it changes from the first to the second state. A system and method including such circuits are also provided.

Abstract: An accelerator circuit is provided that includes an inverter chain having an input coupled to a data line and a sense circuit having inputs coupled to an output of the inverter chain and the data line. The sense circuit is configured to sense a rise toward a supply voltage on the data line or a fall toward a ground voltage on the data line. The accelerator circuit further includes an amplify circuit having inputs coupled to outputs of the sense circuit and an output coupled to the data line, where the amplify circuit is configured to amplify the data line toward the supply voltage or toward the ground voltage based on amplify enable signals output by the sense circuit.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately enhancing optical character recognition with a machine learning approach for determining words from reverse text, vertical text, and atypically-sized text. For example, the disclosed systems segment a digital image into text regions and non-text regions utilizing an object detection machine learning model. Within the text regions, the disclosed systems can determine reverse text glyphs, vertical text glyphs, and/or atypically-sized text glyphs utilizing an edge based adaptive binarization model. Additionally, the disclosed systems can utilize respective modification techniques to manipulate reverse text glyphs, vertical text glyphs, and/or atypically-sized glyphs for analysis by an optical character recognition model.

Abstract: Features are disclosed for forecasting a usage of a block storage volume with a first configuration by a user. A computing device can forecast the usage of the block storage volume based on the historical usage of the block storage volume by the user. The computing device can determine additional potential configurations of the block storage volume. The computing device can further simulate the additional potential configurations of the block storage volume based on the forecasted usage of the block storage volume. The additional potential configurations may include a volume type, a volume size, or other volume characteristics. Based on the simulations of the additional potential configurations, the computing device may determine a recommended configuration. The computing device can dynamically modify the block storage volume based on the recommended configuration of the block storage volume.

Abstract: A first read request for data stored at a non-volatile memory is received by a primary storage controller. The data is programmed from the non-volatile memory to a first cache of the primary storage controller, the first cache to store the data over a first time range. A second read request is received for the data. In response to receiving the second read request for the data, the data is programmed to a second cache to store the data over a second time range that is greater than the first time range. A notification is transmitted to a secondary storage controller, the notification including information associated with the programming of the data to the second cache.

Abstract: An Internet-connected device, such as a car, refrigerator, or even a laptop can use a second device, such as a cell phone, to support cryptographic operations and communication with token service providers or other processing services requiring pre-provisioned capabilities that may include cryptographic secrets. By removing the need to store personally sensitive data in “Internet of Things” (IoT) devices, a user's personal information and other sensitive financial information may be contained to a relatively small number of devices. This may help prevent theft of goods or services by IoT devices that are not always under the close control of the user.

Abstract: The disclosed technology relates to a multibit memory cell. In one aspect, the multibit memory cell includes a plurality of spin-orbit torque (SOT) tracks, plurality of magnetic tunnel junctions (MTJs), an electrically conductive path connecting a first MTJ and a second MTJ together, and a plurality of terminals. The plurality of terminals can be configured to provide a first SOT write current to the first MTJ, a second SOT write current to the second MTJ, and at least one of: the second SOT write current to a third MTJ, a third SOT write current to the third MTJ, and a spin transfer torque (STT) write current through the third MTJ. The junction resistances of the various MTJs are such that a combined multibit memory state of the MTJs is readable by a read current through all the MTJs in series.

Abstract: In accordance with some embodiments, systems, methods, and media for generating and using spiking neural networks with improved efficiency are provided. In some embodiments, a method comprises: receiving image data; providing the image data to a trained spiking neural network (SNN), the SNN comprising a plurality of neurons, each of the plurality of neurons associated with a respective initialization value V0 of a plurality of initialization values, wherein a first layer of the trained SNN comprises a first subset of the plurality of neurons, and a second layer of the trained SNN comprises a second subset of the plurality of neurons, and wherein a mean of the plurality of initialization values is about 0.5, and a standard deviation of the initialization values is at least 0.

Abstract: A first read request for data stored at a non-volatile memory is received by a primary storage controller. The data is programmed from the non-volatile memory to a first cache of the primary storage controller, the first cache to store the data over a first time range. A second read request is received for the data. In response to receiving the second read request for the data, the data is programmed to a second cache to store the data over a second time range that is greater than the first time range. A notification is transmitted to a secondary storage controller, the notification including information associated with the programming of the data to the second cache.

Abstract: In accordance with some embodiments, systems, methods and media for stochastic exposure coding for continuous time-of-flight imaging are provided. In some embodiments, a method for estimating the depth of a scene is provided, comprising: stochastically selecting active slots based on a probability p; causing, during active slots, a light source to emit light modulated by a first modulation function toward a scene; causing, during active slots, an image sensor to generate a first, second, and third value based on received light from a portion of the scene and a first, second, and third demodulation function, respectively; inhibiting the light source during inactive slots; determining, for each of the active slots, depth estimates for the portion of the scene based on the first, second, and third value; and determining a depth estimate for the portion of the scene based on the depth estimates for the active slots.

Abstract: An augmented reality system having a light source and a camera. The light source projects a pattern of light onto a scene, the pattern being periodic. The camera captures an image of the scene including the projected pattern. A projector pixel of the projected pattern corresponding to an image pixel of the captured image is determined. A disparity of each correspondence is determined, the disparity being an amount that corresponding pixels are displaced between the projected pattern and the captured image. A three-dimensional computer model of the scene is generated based on the disparity. A virtual object in the scene is rendered based on the three-dimensional computer model.

Abstract: A method and system include detecting a user activity associated with a file change of a first file, invoking a plurality of analyzers to scan content of the first file, the plurality of analyzers including a first analyzer, matching the first analyzer with a first sensitive data item in the first file, identifying a first policy based on a first pre-determined set of analyzers that includes the first analyzer, and causing display of a first notification in a user interface of a client device, the first notification including a first indication that the first policy may be violated based on the file change associated with the first file.

Abstract: An Internet-connected device, such as a car, refrigerator, or even a laptop can use a second device, such as a cell phone, to support cryptographic operations and communication with token service providers or other processing services requiring pre-provisioned capabilities that may include cryptographic secrets. By removing the need to store personally sensitive data in “Internet of Things” (IoT) devices, a user's personal information and other sensitive financial information may be contained to a relatively small number of devices. This may help prevent theft of goods or services by IoT devices that are not always under the close control of the user.

Abstract: In accordance with some embodiments, systems, methods, and media for asynchronous single photon depth imaging with improved precision in ambient light conditions are provided. In some embodiments, the system comprises: a light source; a detector configured to detect arrival of individual photons, and enter a dead time after a detection; a processor programmed to: cause the light source to emit pulses toward a scene point at the beginning of light source cycles each corresponding to B time bins; cause the detector to enter an acquisition window at a first time bin position; cause the detector to enter another acquisition window at a shifted time bin position; record photon arrival times; associate each photon arrival time with a time bin; and estimate a depth of the scene point based on a number of photon detection events at each time bin, and a denominator corresponding to each time bin.

Abstract: An example of a non-transitory computer-readable medium storing machine-readable instructions. The instructions may cause a controller to receive an image and detect an object in the image. Based on a contextual setting of the electronic device, overlay data may be retrieved from a database or a remote electronic device to be visually associated with the object on a display.

Abstract: A method of implementing location-guided visual code scanning from long distances starts with a processor receiving from client device a media content item and a location of the client device. Processor detects a portion of the media content item including image of captured visual code. Processor aligns image of captured visual code in the portion of the media content item to generate rectified image of captured visual code. Processor selects, based on location of the client device, subset of visual codes of the visual codes in database that stores visual codes and visual code location estimates associated with the plurality of visual codes. Processor detects matching visual code from the subset of visual codes using the rectified image of the captured visual code and causes a selectable item associated with the matching visual code to be displayed by the client device. Other embodiments are described herein.

Abstract: A database service that receives and manages time series data into a set of generational data tables. The database service generates a set of generational data tables configured to receive a subset of time series data. Each generational data table is created with an initial set of access parameters that facilitates the receipt of incoming time series data. Thereafter, the database service creates additional generational data tables to receive the continuous received time series data and then modifies the access parameters of the previously created data table, such as for read only rights.

Abstract: Techniques are provided for selectively storing data into allocation areas using streams. A set of allocation areas (e.g., ranges of block numbers such as virtual block numbers) are defined for a storage device. Data having particular characteristics (e.g., user data, metadata, hot data, cold data, randomly accessed data, sequentially accessed data, etc.) will be sent to the storage device for selective storage in corresponding allocation areas. For example, when a file system receives a write stream of hot data, the hot data may be assigned to a stream. The stream will be tagged using a stream identifier that is used as an indicator to the storage device to process data of the stream using an allocation area defined for hot data. In this way, data having different characteristics will be stored/confined within particular allocation areas of the storage device to reduce fragmentation and write amplification.

Abstract: Techniques for implementing a scalable automated training framework for anomaly and ransomware detection are disclosed. In some embodiments, a computer system performs operations comprising: instantiating a plurality of virtual machines, each one of the virtual machines being loaded with a corresponding file system; simulating user actions and ransomware on the virtual machines, the simulating of user actions and ransomware on the virtual machines causing changes to the corresponding file systems of the virtual machines; for each one of the plurality of virtual machines, generating a corresponding metadata file based on one or more corresponding snapshots of the virtual machine, the one or more corresponding snapshots indicating the changes to the corresponding file system of the virtual machine; and training a ransomware detection model using a machine learning algorithm and training data, the training data being based on the corresponding metadata files of the virtual machines.