Abstract: Systems and methods are disclosed for wide frequency range voltage controlled oscillators. For example, an apparatus includes a Voltage Controlled Oscillator (VCO) including a delay cell which includes first and second current sources provided in parallel with one another. The first current source is controlled by a voltage control input connected to a voltage control terminal and the second current source is controlled by a bias voltage input connected to a bias voltage terminal. The first current source provides an alternate current path in the delay cell when the second current source is off. The delay cell is operable to receive an input and produce an output using the alternate current path.

Abstract: The present disclosure relates to systems and methods for tracking content across multiple content outlets. Content items, characterized by first metadata, and content slots, characterized by second metadata, can be received. Third metadata for digital content slots can be generated. Fourth metadata can be received. A recommended content item package can be provided based on a comparison between a combination of the first metadata, the second metadata, and the third metadata and the fourth metadata. The recommended content item package can include a content file and a metadata file. A performance and a measurement of the recommended content item package can be determined by executing the metadata file to track the content file across one or more of the content slots and the potential digital content slots. The performance and the measurement can be provided.

Abstract: In accordance with some embodiments, systems, methods, and media for generating digital images using low bit depth image sensor data are provided. In some embodiments, the system comprises: an image sensor; a processor programmed to: receive, from the image sensor, a series of low bit depth frames; provide low bit depth image information to a trained machine learning model comprising: a 3D convolutional layer; a 2D convolutional LSTM layer; a concatenation layer configured to generate a tensor that includes an output of the 2D convolutional LSTM layer and the low bit depth image information; and a 2D convolutional layer configured to generate an output based on the tensor; and generate a high bit depth image of a scene based on an output of the two-dimensional convolutional layer.

Abstract: Disclosed herein are compounds according to Formula A wherein the compound comprises at least one C6-30aliphatic moiety. Also disclosed are compositions comprising the compounds that may be useful for delivering agents such as therapeutic and/or prophylactic agents, for example, nucleic acids such as, but not limited to, DNA or RNA, small molecules, proteins, polypeptides or peptides. In some embodiments, the composition is a lipid nanoparticle. Also disclosed herein are lipid nanoparticles comprising the compounds and methods for making and using the nanoparticles.

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 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: In accordance with some embodiments, systems, methods, and media for high dynamic range imaging using single-photon and conventional image sensor data are provided. In some embodiments, the system comprises: first detectors configured to detect a level of photons proportional to incident photon flux; second detectors configured to detect arrival of individual photons; a processor programmed to: receive, from the first detectors, first values indicative of photon flux from a scene with a first resolution; receive, from the second detectors, second values indicative of photon flux from the scene with a lower resolution; provide a first encoder of a trained machine learning model first flux values based on the first values, provide the second encoder of the model second flux values; receive, as output, values indicative of photon flux from the scene; and generate a high dynamic range image based on the third plurality of values.

Abstract: The present disclosure relates to systems and methods for tracking content across multiple content outlets. Content items, characterized by first metadata, and content slots, characterized by second metadata, can be received. Third metadata for digital content slots can be generated. Fourth metadata can be received. A recommended content item package can be provided based on a comparison between a combination of the first metadata, the second metadata, and the third metadata and the fourth metadata. The recommended content item package can include a content file and a metadata file. A performance and a measurement of the recommended content item package can be determined by executing the metadata file to track the content file across one or more of the content slots and the potential digital content slots. The performance and the measurement can be provided.

Abstract: The present disclosure relates to systems and methods for tracking content across multiple content outlets. Content items, characterized by first metadata, and content slots, characterized by second metadata, can be received. Third metadata for digital content slots can be generated. Fourth metadata can be received. A recommended content item package can be provided based on a comparison between a combination of the first metadata, the second metadata, and the third metadata and the fourth metadata. The recommended content item package can include a content file and a metadata file. A performance and a measurement of the recommended content item package can be determined by executing the metadata file to track the content file across one or more of the content slots and the potential digital content slots. The performance and the measurement can be provided.

Abstract: Techniques are provided for providing a storage abstraction layer for a composite aggregate architecture. A storage abstraction layer is utilized as an indirection layer between a file system and a storage environment. The storage abstraction layer obtains characteristic of a plurality of storage providers that provide access to heterogeneous types of storage of the storage environment (e.g., solid state storage, high availability storage, object storage, hard disk drive storage, etc.). The storage abstraction layer generates storage bins to manage storage of each storage provider. The storage abstraction layer generates a storage aggregate from the heterogeneous types of storage as a single storage container. The storage aggregate is exposed to the file system as the single storage container that abstracts away from the file system the management and physical storage details of data of the storage aggregate.

Abstract: A memory device with multiplexers for multiplexing write and read operations to bit lines is provided. In one aspect, a write-read circuit includes a multiplexer for multiplexing the write and read operations. The multiplexer includes a plurality of select devices, each select device being associated with one of a plurality of bit lines, and each select device including a first transistor and a second transistor. The write-read circuit further includes a controller configured to, for a write operation using a particular bit line, control the multiplexer to turn on both transistors of the first select device associated with the particular bit line, and for a read operation using the particular bit line, control the multiplexer to turn on the first transistor and turn off the second transistor of the first select device associated with the particular bit line.

Abstract: The disclosed technology relates to a write driver and a method for operating the write driver for a memory device. The write driver is connected to a memory line of the memory device. Multiple memory cells of the memory device are connected to the memory line at different distances from the write driver. The operating method comprises controlling the write driver to provide a smaller amount of current for accessing a first memory cell of the memory cells, and controlling the write driver to provide a larger amount of current for accessing a second memory cell of the memory cells. Thereby, the first memory cell is connected to the memory line at a smaller distance to the write driver than the second memory cell.

Abstract: In accordance with some embodiments, systems, methods, and media for estimating a depth and orientation of a portion of a scene using a single-photon detector and diffuse light source are provided. In some embodiments, a system comprises: a light source; an image sensor comprising a pixel having a field of view of at least one degree; a hardware processor programmed to: cause the light source to emit a sequence of n defocused pulses toward the scene; receive, from the pixel, information indicative of arrival times of light from the scene; generate a transient histogram using the information indicative of arrival times of light from the scene; and estimate one or more properties of a portion of the scene within the field of view of the pixel based on the transient histogram, wherein the one or more properties of the portion of the scene includes at least a depth.

Abstract: A client device, such as a mobile phone or a mobile phone accessory (e.g., phone case), is provided that receives and transmits data (e.g., a social media code) via light wave communication. The light wave communication may comprise structured light (e.g., projected light patterns). The client device may include a lightbox comprised of LEDs located on a back face of the client device.

Abstract: A memory device configured as a dynamic random access memory is provided, comprising a first semiconductor device layer comprising a first bit cell and a second semiconductor device layer comprising a second DRAM bit cell. Further, at least one of a first and second interconnecting structure is provided, the first interconnecting structure extending vertically between the first and second semiconductor device layer and being arranged to form a write word line common to the gate terminal of the write transistors of the first and second bit cells, and the second interconnecting structure extending vertically between the first and second semiconductor device layer and being arranged to form a read word line common to a first source/drain terminal of the read transistors of the first and second bit cells.

Abstract: Techniques unmasking ransomware attacks are disclosed. In some embodiments, a computer system performs operations comprising: generating a first prediction that a file system comprising a plurality of files has been attacked by ransomware based on snapshot metadata of the file system using a snapshot-level machine learning prediction model, the snapshot metadata comprising a plurality of file change data indicating a plurality of file change events that have been performed on the file system; in response to the first prediction, generating a classification for each one of the files based on the file change data using a file-level machine learning prediction model, the classification indicating whether the files have been targeted by the ransomware for encryption; determining that one or more files have been targeted by the ransomware based on the classification; and displaying the classification for the one or more files on a computing device of a user.

Abstract: Features are disclosed for correlating a workload type with particular volume characteristics for a block storage volume. The volume characteristics may include a durability or a performance consistency for a particular volume. A computing device can obtain a set of workload parameters indicating a workload associated with a particular block storage volume. Based on the set of workload parameters, the computing device can determine a workload classification that links the set of workload parameters to a set of volume characteristics. The computing device can further compare the set of volume characteristics with the current set of volume characteristics for the block storage volume. Based on comparing the sets of volume characteristics, the computing device may determine a recommendation for a user. The computing device can dynamically modify the block storage volume based on the recommendation.

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.

Abstract: In accordance with some embodiments, systems, methods, and media for improving signal-to-noise ratio in single-photon data are provided. In some embodiments, a system comprises: a processor programmed to: generate, for each of a plurality of pixel locations, initial photon flux estimates based on a first set of photon transients including photon transients associated with the pixel location and neighboring pixel locations, each of the photon transients comprises a histogram of photon counts; identify, for a scene patch associated with each of the plurality of pixel locations, one or more similar scene patches using intensity information for each of the plurality of pixel locations; and generate, for each of the plurality of pixel locations, final photon flux estimates based on a second set of photon transients including photon transients associated with the scene patch and each of the one or more similar scene patches.

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.