Abstract: An apparatus, system and method for protecting the confidentiality and integrity of a secure object running on a computer system by protecting the memory pages owned by the secure object, including assigning a secure object an ID, labeling the memory pages owned by a secure object with the ID of the secure object, maintaining an Access Control Monitor (ACM) table for the memory pages on the system, controlling access to memory pages by monitoring load and store instructions and comparing information in the ACM table with the ID of the software that is executing these instructions; and limiting access to a memory page to the owner of the memory page.

Abstract: Systems and methods for item price assignment. A line recommendation engine receives unassigned records from a queue and stores one or more line recommendations for the unassigned item record in a recommendation database. The line recommendation engine can determine a new line should be recommended, and/or which existing lines the unassigned item record could be assigned to. A user interface can display the one or more line recommendations for the unassigned item record to a user and receive an input indicating a selected line identifier for the unassigned item record. A machine learning engine can modify a parameter of the line recommendation engine based on the selected line identifier.

Abstract: In some aspects, the techniques described herein relate to a method including receiving, at a processor, a message from a sender to a user, the message including a content item; predicting, by a processor, a next action of the user based on the message by inputting the content item into a predictive model trained using historical actions performed by the user; generating, by the processor, an augmented content item, the augmented content item generated based on the next action; embedding, by the processor, the augmented content item and the content item into a user interface (UI); and transmitting, by the processor, the UI to a client device of the user.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to receive sensor data indicating an obstacle, formulate a control barrier function for a vehicle based on the sensor data, determine a control input based on the control barrier function, and actuate a component of the vehicle according to the control input. The control barrier function is defined with respect to a reference point that is spaced from a centroid of the vehicle.

Abstract: In some aspects, the techniques described herein relate to a method including: identifying, by a processor, an object included in a message addressed to a user; inserting, by the processor, an explicit feedback control in the message, the explicit feedback control associated with the object; delivering, by the processor, the message including the explicit feedback control to a client device of the user; and receiving, by the processor, feedback from the user in response to an interaction of the user with the explicit feedback control.

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: The disclosed technology relates to a non-volatile (NV) static random-access memory (SRAM) device, and to a method of operating the same. The NV-SRAM device includes a plurality of bit-cells, wherein each bit-cell comprises: an SRAM bit-cell; a first bit-line connected via a first access element to the SRAM bit-cell; a NV bit-cell connected via a switch to the SRAM bit-cell; and a second bit-line connected via a second access element to the NV bit-cell. The NV-SRAM device is configured to independently write data from the first bit-line into the SRAM bit-cell through the first access element, and respectively from the second bit-line into the NV bit-cell through the second access element.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, receiving information regarding a new lead from another computing device and determining one or more relevant features from the information regarding the new lead, the one or more relevant features influencing prediction of a lead conversion. The method also includes, by the computing device, generating, using a machine learning (ML) model, a prediction of a likelihood of the new lead converting to a sales opportunity based on the determined one or more relevant features based on the determined one or more relevant features and sending the prediction to the another computing device.

Abstract: A technique for managing multi-dimensional data includes providing an original dataset containing data arranged along multiple dimensions, each dimension covering a respective original range of dimensional units. The technique further includes extracting multiple portions of data from the original dataset, each portion extending over a reduced range of dimensional units, smaller than the original range, in at least one dimension, and all extracted portions together covering the original ranges of the original dataset in all dimensions.

Abstract: A system and method for correcting image data is disclosed. The method includes receiving one or more documents from one or more electronic mediums. The method further includes determining a primary character and one or more alternate characters corresponding to the mis-captured character image, extracting one or more confident instances of the primary character and the one or more alternate characters from the one or more documents and generating one or more scores corresponding to the primary character and the one or more alternate characters. Further, the method includes predicting a correct character corresponding to the mis-captured character image by using a trained image prediction-based ML model and automatically replacing the mis-captured character image with the predicted correct character.

Abstract: The present disclosure provides method and system, which use multiple of excitonic BEC(s) and/or excitonic matter-wave(s) and/or excitonic superfluid(s) as a platform to generate multiple (from a few to even millions or more) long-lived Qubits in any conceivable multi-dimensional hybrid nano structure(s), mostly using semiconductor material(s) and/or device structure(s) at any temperature in between 0-500K, and that can sustain any quantum coherence for a much longer time scales of microseconds or milliseconds or even more, but not limited to these time scales for any conceivable faster device operation(s) as well. The macroscopic quantum states of the generated Qubits are easily controllable with applied voltage(s) (dc and/or ac) and/or electrical power, and/or light beam(s), and are easily integrated with semiconductor fabrication techniques for quicker and wider adaptation of Quantum technologies.

Abstract: A computer implemented method for scheduling a meeting includes receiving a set of input parameters as meeting constraints. The meeting input parameters include a meeting organizer attendee identifier and multiple additional meeting attendee identifiers, a duration of the meeting, and a time frame within which to schedule the meeting. Calendar data is accessed from one or more servers storing calendar data corresponding to the organizer attendee and the meeting attendees based on the respective identifiers. The accessed calendar data is processed against the received set of input parameters to identify candidate meetings. In response to no candidate meeting matching all the input parameters, at least one parameter is automatically adjusted, and new candidate meetings are identified. Candidate meeting suggestions are communicated to a meeting organizer.

Abstract: A system and method for or facilitating correction of data in documents is disclosed. The method includes receiving one or more documents from and scanning the received one or more documents by using a document processing system for obtaining one or more mis-captured data fields. The method further includes obtaining a historical correction data and determining one or more deltas based on the obtained historical correction data by using a trained data correction-based ML model. Further, the method includes parsing the determined one or more deltas into one or more datasets, generating one or more correct data fields corresponding to the one or more mis-captured data fields and automatically replacing the one or more mis-captured data fields with the generated one or more correct data fields based on one or more predefined rules.

Abstract: Techniques for cloning, writing to, and reading from file system metadata. Cloning involves identifying a first set of pointers included h a first root node in a file system metadata tree structure that stores file system metadata n leaf nodes of the tree structure, creating a first copy of the first root node that includes the first set of pointers, creating a second copy of the first root node that includes the first set of pointers, associating the first copy with a first view, and associating the second copy with a second view. Reading generally involves traversing the tree structure towards a target leaf node that contains data to be read. Writing generally involves traversing the tree structure in the same manner, but also creating copies of any nodes to be modified if those nodes are deemed to have a different treeID than a particular root node.

Abstract: Resource provider specifications, characterizing computing resources of computing resource providers, are received. The reachability of each IP address included in the received specification is determined. An agent is deployed that is operable to determine the value of each of a set of metrics in the environment of the host at which the agent is deployed. The agent determines the value of each metric of the set of metrics in the environment of the relevant host, and communicates the determined values to one or more computing devices that validate whether the resources characterized by the communicated values are sufficient to provide the performance characterized by the received specification and that each ISP router complies with a predetermined policy. For each computing resource provider validated and determined to comprise an ISP router compliant with policy, the specified computing resources are added to a pool of resources for cloud computing.

Abstract: An adjustable refrigeration rack system may include a pair of parallel shafts arranged on a rear interior cabinet side of a refrigerator, a plurality of pairs of attachment mechanisms, each attachment mechanisms having one attachment mechanism arranged on one rail, and another arranged at equal height on the other rail, the attachment mechanisms configured to hold a shelf and selectively engage the respective shafts, and a drive mechanism configured to drive the shafts vertically, wherein movement of the shafts causes movement of the shelf arranged on the attachment mechanisms selectively engaged with the shafts, but not movement of a shelf arranged on the attachment mechanisms unattached to the shafts.

Abstract: A door includes an inner wall, an outer wall, and a window assembly including a window. The inner wall is configured to engage with a cab of a vehicle. The outer wall is coupled to the inner wall and spaced apart from the inner wall to form an interior cavity. The door is configured to move between a closed position in which the inner wall is engaged with the cab and an open position in which the inner wall is separated from the cab. In the closed position, at least a portion of the interior cavity is configured to be disposed outboard from the cab in a lateral direction. The window is slidably engaged to the door and configured to move between an extended position and a retracted position. In the retracted position, the window is at least partially disposed in the portion of the interior cavity.

Abstract: A disclosed method for managing enterprise security posture includes maintaining a security system repository (SSR) including information mapping one or more software libraries to vulnerability information indicative of one or more identified vulnerabilities, providing one or more library scanning tools configured to scan the one or more software libraries and provide notifications indicative of one or more new vulnerabilities, generating an SSR catalog indicative of vulnerability information pertaining to the one or more software libraries, and an enhanced plugin module (EPM) is provided wherein the EPM is configured to consume installed application metadata enabling to produce an inventory indicative of updates to deploy.

Abstract: Novel tools and techniques are provided for implementing automatic document pattern recognition and analysis. In various embodiments, a computing system might receive one or more first documents containing first remittance information. The computing system might analyze the one or more first documents to extract first remittance information from the first document by obtaining one or more historical documents and correlating the one or more first documents to the one or more historical documents. Next, based on the correlation of the one or more first documents to the one or more historical documents, the computing system might determine at least one historical document that correlates to the one or more first documents. Additionally, the computing system might extract the first remittance information from the one or more first documents based on the at least one historical document.

Abstract: One or more computing devices, systems, and/or methods for generating a user-specific interface are provided. In an example, a user-specific machine learning model, for a user of an email application, may be trained based upon one or more interactions of the user with a device upon which the email application is installed. A determination may be made that an email message has been received by an email account of the user. A user-specific message interface may be generated based upon (i) the trained user-specific machine learning model and (ii) content of the email message. A notification of the email message may be provided for display on the device of the user. In response to the user selecting the notification of the email message, the user-specific interface may be provided for display on the device of the user.