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: 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: Example implementations relate to sentiment analysis. A computing device may comprise a processing resource, and a memory resource storing machine-readable instructions to cause the processing resource to receive a digital image of a subject, analyze the digital image to detect facial features of the subject, analyze the detected facial features to determine an identity of the subject, determine a sentiment level of the subject using a sentiment analysis, where the sentiment analysis uses the detected facial features and the identity of the subject to determine the sentiment level of the subject, and display the sentiment level of the subject via a display.

Abstract: Techniques for managing dynamically scalable virtualized compute instances within a provider network are described. A dynamically scalable instance has a baseline performance level and a maximum performance level associated with a computing resource, such as a processor, a memory, a network interface, etc. In response to receive a request to launch a dynamically scalable instance, one or more services select a computer system to host the requested instance from a pool of instance-hosting computer systems of a provider network. The instance-hosting computer systems include a monitoring agent that reports computing resource usage data to the one or more services. The one or more services monitor the resource usage of the instance-hosting computer systems and migrate instances so that the dynamically scalable instances can operate up to the maximum level of performance.

Abstract: Techniques for managing compute resource usage by virtualized compute instances within a provider network are described. A computer system connected to a provider network hosts one or more compute instances. An agent associated with the computer system obtains per-compute instance resource usage information of computer system resources such as processors, memory, and network interfaces. The agent sends the usage information to a usage management service of the provider network. The usage management service generates usage limits based on the usage information from the agent and on usage targets and sends the usage limits to the computer system. The computer system limits the resource usage of the compute instance based on the usage limits.

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: 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 an example, an audio signal may be routed to an audio device based on an indication of audio device historical usage, a measure of audio quality of the audio device, or a combination thereof.

Abstract: An example of an apparatus including a memory to store training data and rules. The apparatus includes a network interface to communicate with a wireless network. The apparatus also include a network detector to detect a presence of the wireless network. The apparatus includes a machine learning engine in communication with the memory. The machine learning engine is to use the training data to generate rules to determine if the network interface is to be switched from the power-saving state to the powered state in the presence of the wireless network. The apparatus also includes a processor to switch the network interface from the power-saving state to the powered state based on the rules.

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: In accordance with some embodiments, systems, methods and media for encoding structured light imaging patterns and estimating depths in a scene are provided. In some embodiments, a system for estimating depths in a scene is provided, the system comprising: a light source; an image sensor; a hardware processor programmed to: cause the light source to emit K light patterns toward the scene, each of the K light patterns is different and includes a trapezoid-shaped wave, and at least one of the K light patterns includes at least two trapezoid-shaped waves; cause the image sensor to generate an intensity value during emission of each of the K light patterns such that the pixel is associated with at least K intensity values; determine a depth estimate for a portion of the scene imaged by the pixel based on the K intensity values associated with the pixel.

Abstract: Systems and related methods are disclosed to manage memory for an integrated circuit including a processor and logic circuitry to manage the memory. The memory includes segments available for storage of data, and the processor stores data within the memory. Logic circuitry is configured to manage the memory, forms a plurality of sections within the segments, and applies tokens to the plurality of sections. Further, for each storage operation, the logic circuitry searches the tokens to identify blocks of continuous available tokens based upon data length, selects a block from the blocks identified in the search, determines a first token for the selected block, and outputs a memory address to the processor based upon the first token. The processor stores the data at the memory address. For one embodiment, the storage operations are associated with storage of data within packets received from network communications.

Abstract: In accordance with some embodiments, systems, methods and media for single photon depth imaging with improved precision in ambient light conditions are provided. In some embodiments, the system comprises: a light source; a single photon detector; an attenuation element configured to provide a variable intensity attenuation factor; and a processor programmed to: (a)-determine an ambient light intensity associated with a scene point; (b)-select an attenuation factor based on the ambient light intensity; (c)-estimate a depth of the scene point based on a multiplicity of photon arrival times determined using the detector during a period of time during which light incident on the detector is attenuated by the selected attenuation factor and during which the light source is configured to periodically emit a pulse of light toward the scene point; (d)-repeat (a)-(c) for each of a multiplicity of scene points.

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: In accordance with some embodiments, systems, methods and media for encoding and decoding signals used in time-of-flight imaging are provided. In some embodiments, a method for estimating the depth of a scene is provided, comprising: causing a light source to emit modulated light toward the scene based on a modulation function; causing the image sensor to generate a first value based on the modulated light and a first demodulation function of K modulation functions; causing the image sensor to generate a second value; causing the image sensor to generate a third value; and determining a depth estimate for the portion of the scene based on the first value, the second value, the third value, and three correlation functions each including at least one half of a trapezoid wave.

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: Systems and related methods providing for dynamic message creation are discussed herein. Circuitry may be configured receive generic configuration data that references work chunks for message generation and time data indicating a message send time. The work chunks may include references to message data, but not the actual message data. Based on the time data, the work chunks may be placed in a message queue. Circuitry may also be configured to retrieve a work chunk from the message queue and to generate one or more messages based on the retrieved work chunk. The references to message data in the work chunk may be used to retrieve the message data at the time of message generation.

Abstract: In accordance with some embodiments, systems, methods and media for determining object motion in three dimensions using light field image data are provided. In some embodiments, a system for three dimensional motion estimation is provided, comprising: an image sensor; optics that create many images of a scene; and a hardware processor configured to: cause the image sensor to capture a first plurality of images; generate a first light field; cause the image sensor to capture a second plurality of images at a second time; generate a second light field; calculate light field gradients using the first light field and second light field; and calculate, for each point in the scene, three dimensional motion using the light field gradients by applying a constraint to the motion in the scene.

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: The disclosed technology relates generally to magnetic random access memory, and more particularly to spin-orbit-torque (SOT) magnetoresistive random access memory (MRAM). According to an aspect, a MRAM device comprises a first transistor, a second transistor, and a resistive memory element. The resistive memory element comprises a magnetic tunnel junction (MTJ) pillar arranged between a top electrode and bottom electrode having a first terminal and a second terminal. According to another aspect, a method of using the MRAM device is disclosed.