Abstract: An edge device can be configured to perform industrial control operations within a production environment that defines a physical location. The edge device can include a plurality of neural network layers that define a deep neural network. The edge device be configured to obtain data from one or more sensors at the physical location defined by the production environment. The edge device can be further configured to perform one or more matrix operations on the data using the plurality of neural network layers so as to generate a large scale matrix computation at the physical location defined by the production environment. In some examples, the edge device can send the large scale matrix computation to a digital twin simulation model associated with the production environment, so as to update the digital twin simulation model in real time.

Abstract: A system for treatment of a target region of lung tissue including: a flow regulator configured to be interposed between a conductive fluid source and a conductive fluid outlet positionable at or in proximity of the target region of lung tissue, the flow regulator being further configured for controlling a flow rate or a bolus quantity of conductive fluid coming from the fluid source and delivered to the conductive fluid outlet; and a controller communicatively connectable with said flow regulator and with at least one sensor, with the at least one sensor being configured for detecting values taken by at least one control parameter representative of a physical property, wherein the physical property is one of temperature (T), pressure (p), electric impedance (Z), or electric conductivity (C) of material present at or in proximity of the target region of lung tissue.

Abstract: Various embodiments include a camera voice coil motor (VCM) actuator configured to shift an image sensor along multiple axes. Some embodiments include a magnet and coil arrangement. Some embodiments include a position sensing arrangement. Some embodiments include a flexure arrangement. Some embodiments include a coil structure and coil carrier assembly.

Abstract: Systems and methods for forecasting cashflows across one or more accounts of a user disclosed. One example method may include retrieving a data set for each of a plurality of accounts from a database, constructing a graph including a plurality of nodes linked together by a multitude of edges, wherein each node identifies a time series value corresponding to one of the accounts, and each edge indicates a time series value of a corresponding set of transactions occurring between a corresponding pair of accounts, determining a plurality of constraints, determining a specified loss function based on the plurality of constraints, back-propagating a derivative of the specified loss function into a deep neural network (DNN) to determine a set of neural network parameters, forecasting, using the DNN, a time sequence for one or more of the nodes and one or more of the edges, and providing the forecasted time sequences to the user.

Abstract: The invention provides an information processing apparatus, method, and security protocol for secure storage and transfer of data using two-level encryption by combining RSA and AES keys. The apparatus includes circuitry (100) configured to receive encryption request, encrypt the data to generate first encryption data. The encryption of the data is based on an AES user key (103) and the received encryption request. The circuitry is further configured to encrypt the first encryption data to generate second encryption data, decrypt the second encryption data to generate first decryption data. The decryption of the second encryption data is based on a company AES key (107). The circuitry (100) is further configured to decrypt the first decryption data to generate the original data. The decryption of the first decryption data is based on an AES user key (103), and the second decryption data corresponds to the transmitted data.

Abstract: Various implementations described herein are directed to a device with a reset tree having leaf buffers that provide sensed output signals based on a reset-synchronizing input signal. The device may have a first sensor that receives the sensed output signals from the leaf buffers of the reset tree and provides an attack detection signal based on sensing a malicious attack. The device may have a second sensor that receives the reset-synchronizing input signal, receives the attack detection signal from the first sensor and provides a reset alarm signal based on duration of a timing glitch associated with comparing a difference between the reset-synchronizing input signal and the attack detection signal.

Abstract: In one aspect, an example method includes (i) identifying, by a playback device, a media device that provides media content to the playback device; (ii) providing, by the playback device, replacement media content for display; (iii) determining, by the playback device, that while the playback device is displaying the replacement media content a remote control transmitted an instruction to the identified media device; (iv) determining, by the playback device, a playback-modification action corresponding to the instruction and the identified media device; and (v) modifying, by the playback device, playback of the replacement media content in accordance with the playback-modification action.

Abstract: The present disclosure relates to a ULBP6 binding protein that inhibits the interaction between ULBP6 and NKG2D, and methods of treating cancer with said ULBP6 binding protein.

Abstract: A method that includes applying, by one or more processors, a topic model to a document to generate a plurality of topics for the document. Each topic of the plurality of topics includes a corresponding group of words in the document. The method also includes performing a parts of speech (POS) tagging operation on the document to tag each word of a particular topic of the plurality of topics with a first label or a second label. Words tagged with the first label are designated as a first part of speech, and words tagged with the second label are designated as a second part of speech. The method further includes filtering the particular topic from the plurality of topics in response to a determination that each word of the particular topic is tagged with the first label.

Abstract: System, methods, and devices described herein utilize blockchain systems to tie physical storage devices to a digital non-fungible token (NFT). By utilizing this association, the manufacturer can provide software to assure purchasers that their devices are genuine. Furthermore, ownership transfers can be verified and utilized as a means to provide accurate provenance of a storage device, which can increase the value of the device in certain collectible situations. Associating a storage device to an NFT can include pair the drive with a unique identifier provided by the manufacturer, and an address that consists of an encryption key and a secret key that only the owner will know. A user can then encrypt their data and transfer ownership of the storage device to a new owner who will generate a new encryption key. The new owner cannot access data stored on the device, preventing the original owner’s data from being compromised.

Abstract: A computer-implemented bidding method, computer equipment and a storage medium are provided. The computer-implemented bidding method includes: training a CatBoost regression model through a historical bidding data set, where the historical bidding data set includes bidding configuration parameters as an input of the model and a difference between a first quote and a final quote as an output of the model; and inputting current basic bidding parameters into the trained CatBoost regression model, and outputting values of optimized bidding configuration parameters to configure bidding rules for bidding participants. The computer-implemented bidding method can help a purchaser to purchase a required product at a relatively low price, thereby saving the purchase cost.

Abstract: A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures.

Abstract: Systems and methods include determining a plurality of features associated with executable files, wherein the plurality of features are each based on static properties in predefined structure of the executable files; obtaining training data that includes samples of benign executable files and malicious executable files; extracting the plurality of features from the training data; and utilizing the extracted plurality of features to train a machine learning model to detect malicious executable files.

Abstract: Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one example, a method for providing grouped travel data to a user interface of an application includes receiving travel data from an application running on a remote device; generating one or more travel data-based features from the travel data thereby creating featurized travel data; applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data; for each trip record in the featurized travel data: determining a plurality of trip record groups in which the trip record falls based on the plurality of patterns; and adding the trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme; and transmitting the trip record group to the application running on the remote device.

Abstract: Systems and methods for improved distributed symmetric cryptography are disclosed. A client computer may communicate with a number of cryptographic devices in order to encrypt or decrypt data. Each cryptographic device may possess a secret share and a verification share, which may be used in the process of encrypting or decrypting data. The client computer may generate a commitment and transmit the commitment to the cryptographic devices. Each cryptographic device may generate a partial computation based on the commitment and their respective secret share, and likewise generate a partial signature based on the commitment and their respective verification share. The partial computations and partial signatures may be transmitted to the client computer. The client computer may use the partial computations and partial signatures to generate a cryptographic key and verification signature respectively. The client computer may use the cryptographic key to encrypt or decrypt a message.

Abstract: A system and method for updating a customer cluster includes receiving first data from a group of customers intended to receive an update, identifying a subset of customers from the group of customers based on the first data for receiving a canary version of the update, facilitating installation of the canary version of the update on each of the subset of customers, receiving second data from each of the subset of customers upon installation of the canary version of the update, predicting whether the subset of customers that receive the canary version is to increase or decrease based on the second data, and adjusting a number of customers in the subset of customers for receiving the canary version of the update based on the prediction.

Abstract: The present disclosure include an exemplary method comprising receiving a transaction history comprising transaction information associated with a plurality of transactions for an entity, wherein the transaction information involves transactions completed between employees of the entity and one or more merchants; detecting, using a machine learning algorithm, one or more leakage events associated with a transaction, the one or more leakage events comprising a first leakage event, wherein the first leakage event indicates a non-compliance of a spending rule of the entity by a participant in the transaction, wherein the one or more detected leakage events are analyzed as inputs to improve performance of the machine learning algorithm using unsupervised machine learning; and performing an analysis of a compliance level of the entity based on performing the detection of the one or more leakage events for the plurality of transactions.

Abstract: Various embodiments include a camera with folded optics and lens shifting capabilities. In some examples, a folded optics arrangement of the camera may include one or more lens elements and light path folding elements (e.g., prisms). Some embodiments include voice coil motor (VCM) actuator arrangements, carrier arrangements, and/or suspension arrangements to provide autofocus (AF) and/or optical image stabilization (OIS) movement. Furthermore, some embodiments include position sensor arrangements for position sensing with respect to AF and/or OIS movement.

Abstract: Encoding efficiency for attribute information in point cloud information is improved. A point cloud encoding device includes a subsampling unit configured to preserve chroma signals of some points in a point cloud to be encoded and discard chroma signals of remaining points other than those points, and an attribute information encoding unit configured to encode the chroma signals of those points in the point cloud to be encoded and luma signals of all points.

Abstract: A method of Atomic Precision Advanced Manufacturing (APAM) is provided, in which a substrate is doped from a dopant precursor gas. The method involves covering a surface of the substrate with a hard mask, selectively removing material from the hard mask such that selected areas of the substrate surface are laid bare, exposing the laid-bare areas to the dopant precursor gas, and heating the substrate so as to incorporate dopant from the dopant precursor gas into the substrate surface.