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: 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 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: 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: 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: 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 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: 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: Techniques for implementing proactive data security operations for files using an analysis of access permission levels for the files are disclosed. In some embodiments, a computer system performs operations comprising: determining that data of a file includes sensitive information based on an analysis of the data using a data classification model; determining that access to the file is open using an access classification model; and based on the determination that the data of the file includes sensitive information and the determination that the access to the file is open, causing a notification to be displayed on a computing device of a user, the notification comprising an indication that the file includes sensitive information and that access to the file is open.

Abstract: In accordance with some embodiments, systems, methods and media for directly recovering planar surfaces in a scene using structured light are provided. In some embodiments, a system comprises: a light source; an image sensor; a processor programmed to: cause the light source to emit a pattern comprising a pattern feature with two line segments that intersect on an epipolar line; cause the image sensor to capture an image including the pattern; identify an image feature in the image, the image feature comprising two intersecting line segments that intersect at a point in the image that corresponds to the first epipolar line; estimate a plane hypothesis associated with the pattern feature based on properties of the pattern feature and properties of the image feature, the plane hypothesis associated with a set of parameters characterizing a plane; and identify a planar surface in the scene based on the plane hypothesis.

Abstract: Techniques for a service provider network to allow users to quickly and easily establish a testing environment to test various virtual machine (VM) instance types for hosting their workloads. Rather than identifying and recommending optimized VM instance types for hosting workloads of users, the techniques allow for users to initially test the VM instance types and determine how well their workloads perform on the VM instance types. Users can quickly and easily (e.g., “one-click” input) request that a testing environment be established. The optimization service can then test one or more recommended VM instance types for the users' workloads in the testing environment. The optimization service can monitor the performance of the VM instance types while they host the “test workloads,” and provide the users with performance metrics to help them decide if they would like to migrate their workloads to the recommended VM instance types.

Abstract: Systems and methods are disclosed for low-swing Schmitt triggers. For example, an apparatus includes a Schmitt trigger including an input node, an output node, and a feedback node that is configured to bear a feedback voltage level that is a sum of an input voltage level at the input node and an attenuated voltage level of the output node; a current source connected to the output node; a voltage sensor connected to the feedback node and configured to cause the current source to pull up an output voltage level at the output node responsive to the feedback voltage level crossing a threshold.

Abstract: According to an aspect there is provided a memory cell. The memory cell comprises: a first and a second electrode; a spin-orbit-torque, SOT, layer comprising a first and a second electrode contact portion arranged in contact with the first and the second electrode, respectively, and an intermediate portion between the first and second electrode contact portions; a first magnetic tunnel junction, MTJ, layer stack arranged in contact with the intermediate portion; and a second MTJ layer stack arranged in contact with the second electrode contact portion and directly above the second electrode. A memory device comprising such a memory cell and a method for writing to such a memory cell are also provided.

Abstract: Systems and methods are disclosed for low-swing Schmitt triggers. For example, an apparatus includes a Schmitt trigger including an input node, an output node, and a feedback node that is configured to bear a feedback voltage level that is a sum of an input voltage level at the input node and an attenuated voltage level of the output node; a current source connected to the output node; a voltage sensor connected to the feedback node and configured to cause the current source to pull up an output voltage level at the output node responsive to the feedback voltage level crossing a threshold.

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: In accordance with some embodiments, systems, methods and media for high dynamic range quanta burst imaging are provided. In some embodiments, the system comprises: an image sensor comprising single photon detectors in an array; a processor programmed to: generate a sequence of binary images representing a scene; divide the sequence of binary images into blocks; generate block-sum images from the blocks; determine alignments between the block-sum images and a reference block-sum image; warp the sequence of binary images based on the alignments; generate warped block-sum images using warped binary images; merge the warped block-sum images; display a final image of the scene based on the merged warped block-sum images.

Abstract: An example computing device can include a processing resource and a memory resource storing instructions thereon, the instructions executable by the processing resource to: extract job information associated with a physical device from a database, compress the job information associated with the physical device; generate a machine-readable optical code that includes the compressed job information associated with the physical device, and update the machine-readable optical code with additional job information associated with the physical device.

Abstract: In accordance with some embodiments, systems, methods and media for directly recovering planar surfaces in a scene using structured light are provided. In some embodiments, a system comprises: a light source; an image sensor; a processor programmed to: cause the light source to emit a pattern comprising a pattern feature with two line segments that intersect on an epipolar line; cause the image sensor to capture an image including the pattern; identify an image feature in the image, the image feature comprising two intersecting line segments that intersect at a point in the image that corresponds to the first epipolar line; estimate a plane hypothesis associated with the pattern feature based on properties of the pattern feature and properties of the image feature, the plane hypothesis associated with a set of parameters characterizing a plane; and identify a planar surface in the scene based on the plane hypothesis.

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.