Abstract: Provided is a method for predicting emotion of a user by an electronic device. The method includes receiving, by the electronic device, a user context, a device context and an environment context from the electronic device and one or more other electronic device connected to the electronic device and determining, by the electronic device, a combined representation of the user context, the device context and the environment context. The method also includes determining, by the electronic device, a plurality of user characteristics based on the combined representation of the user context, the device context and the environment context; and predicting, by the electronic device, an emotion of the user based on the combined representation of the user context, the device context, the environment context and the plurality of user characteristics.

Abstract: Systems and methods of sandboxing a file include responsive to receiving a file associated with a user, obtaining policy for the user; analyzing the file with a machine learning model; and based on a combination of the policy for the user and a verdict of the machine learning model, one of quarantining the file for analysis in a sandbox and allowing the file to the user. The present disclosure presents a smart quarantine with a goal of minimizing the number of files quarantined, the number of malicious files passed through to an end user, and a number of files scanned by a sandbox.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor, a memory, and a network interface; and instructions encoded within the memory to instruct the processor to: receive an incoming packet via the network interface; extract from the incoming packet a source port and a source internet protocol (IP) address; correlate the source port and source IP to a device identifier (ID); receive a network policy for the device ID; and apply the network policy to the incoming packet.

Abstract: As described herein, a system, method, and computer program are provided for investment transaction enrichment using transaction to holdings matching. In use, data defining an investment transaction identified. Additionally, the data is used to automatically match the investment transaction to a particular holding. Further, the data is enriched with one or more attributes of the particular holding.

Abstract: A process orchestration and dynamic data acquisition system may allow process flows to be flexible and to customer or product requirements based on rules obtained from a rule management system. The process orchestrator may be driven based on an updatable and dynamic set of business rules to allow for quick changes to the process flow. Through the business rules the process orchestrator retrieves and processes data necessary to the process based on a customer request and/or product or service provided. The process orchestrator provides dynamic data aggregation from both internal and external data sources, through calling re-useable processes instantiated by the process host system and continuously adapts the process flow to meet the unique needs of each request input and results returned from each dynamic process call.

Abstract: The present disclosure provides systems and methods for processing channel structures of substrates that include positioning the substrate in a first processing chamber having a first processing volume. The substrate includes a channel structure with high aspect ratio features having aspect ratios greater than about 20:1. The method includes forming a silicon-containing layer over the channel structure to a hydrogen-or-deuterium plasma in the first processing volume at a flow rate of about 10 sccm to about 5000 sccm. The substrate is maintained at a temperature of about 100° C. to about 1100° C. during the exposing, the exposing forming a nucleated substrate. Subsequent to the exposing a thermal anneal operation is performed on the substrate.

Abstract: In some examples, a system to may be configured to, for at least a first user of the plurality of users, implement a first set of operations that generate, for each of a first set of item types, attribute value data. Additionally, the system may implement a second set of operations that generate, for each of a second set of item types identified in catalogue data, clique data. Moreover, the system may, for the at least first user, implement a third set of operations that generate preference dependency data . Further, the system may, for the at least first user, based on the preference dependency data, the clique data, the attribute value data, generate, for each item type of a set of item types, output data including an affinity value for each item type of the first set of item types.

Abstract: A trust chain having client system and a remote system in a secure connection, wherein an intermediary system associated with the network flow path serves as a signing entity to establish an end to end transitive trust. The intermediate system is a corroborative entity in the operations technology realm of the client system. The remote system serves as the host for a plurality of services in the information technology realm. A two way handshake during the initial secure exchange protocol between a local client application and a remote service is extended to a three way handshake that includes a nonce issued by the remote service on the remote system and a digital signature for the nonce issued by a signature service on an associated intermediate system. The nonce signature is verified authoritatively at the remote system based on the signing certificate of the intermediate system for explicit proof of association.

Abstract: Some embodiments may be associated with a cloud-based actor framework. A dispatcher platform may determine that a first tenant actor is to be created for a first tenant in connection with a workload associated with a plurality of tenant identifiers. The first tenant may be, for example, associated with a first tenant identifier. The dispatch platform may then select a first thread for the first tenant actor from a pool of available threads and spin a first web assembly module such that execution of the first web assembly module is associated with a first web assembly browser sandbox. The dispatcher platform can then securely create the first tenant actor within the first web assembly browser sandbox to execute the workflow for the first tenant identifier. Similarly, a second web assembly browser sandbox may execute a second tenant actor for a second tenant identifier.

Abstract: A system and method are disclosed associated with a cloud platform as a service provider. A monitoring agent, associated with a database service instance running on a client database virtual machine, periodically executes a performance throttling detection engine. The performance throttling detection engine gathers database statistics based on metrics and features of the database service using a rule-based approach. When it is determined that a pre-determined condition is met, the system may transmit the gathered database statistics to an external application. For example, the external application might comprise a database tuning service and the pre-determined condition may be associated with a decision that the database service may potentially need to tune knob configuration parameters (associated with memory knobs, background writer knobs, asynchronous knobs, etc.).

Abstract: According to some embodiments, a user vector generator may access information about a user (e.g., a software deployment developer or operator) in a user data store that contains electronic records each associated with different user. Each record may include, for example, a user identifier and user characteristics. Based on the user characteristics, the system may automatically generate a user vector indicating a computing environment skillset level for that user (e.g., beginner, intermediate, or expert). A machine learning privilege assignment platform may receive an indication of the user vector for the user and, based on the user vector and a machine learning algorithm, generate a privilege decision for that user (e.g., when the user attempts to update the system). An indication of the privilege decision may be output, according to some embodiments, to an SMT solver to review the privilege decision before granting the user access to the computing environment.

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: 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: 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: 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: 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: 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: 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: 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: 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.