Abstract: A method and system for computer aided design (CAD) is disclosed for designing geometric objects, wherein interpolation and/or blending between such objects is performed while deformation data is being input. Thus, a designer obtains immediate feedback to input modifications without separately entering a command(s) for performing such deformations. A novel N-sided surface generation technique is also disclosed herein to efficiently and accurately convert surfaces of high polynomial degree into a collection of lower degree surfaces. E.g., the N-sided surface generation technique disclosed herein subdivides parameter space objects (e.g., polygons) of seven or more sides into a collection of subpolygons, wherein each subpolygon has a reduced number of sides. More particularly, each subpolygon has 3 or 4 sides. The present disclosure is particularly useful for designing the shape of surfaces. Thus, the present disclosure is applicable to various design domains such as the design of, e.g.

Abstract: In some implementations, the disclosed systems and methods can compute the position of the user interface elements in three-dimensional space, project the position into two-dimensional camera space, and dynamically determine the scale of the user interface elements per frame as either static or dynamic based on the distance between the user and the virtual object. In some implementations, the disclosed systems and methods can simulate a three-dimensional (3D) XR experience on the 2D interface (such as a laptop, mobile phone, tablet, etc.), by placing a virtual XR head-mounted display (HMD) into the XR environment, and providing feeds of the field-of view of the virtual XR HMD to the 2D interface.

Abstract: A data processing system implements analyzing textual content of a reply email message as the reply email message is being authored by a first user in a first application on a first client device. The reply email message is created in response to a previously received email message. The system also implements detecting that the textual content of the reply email includes an inline reply, the inline reply is being inserted within a textual content of the previously received email message; and responsive to detecting the inline reply, causing the first application to automatically configure one or more attributes of an appearance of a font associated with the inline reply to distinguish the inline reply from the textual content of the previously received email message, and display the inline reply with the appearance of the font of the inline reply determined based on the one or more attributes.

Abstract: Methods and systems are described for novel uses and/or improvements to federated learning. As one example, methods and systems are described for improving the applicability of federated learning across various applications and increasing the efficiency of training a global model through federated learning. As another example, methods and systems are described for ensuring comprehensive training data is available to models assigned by the federated learning server. Additionally, methods and systems are described for improving the rate of training a global model through federated learning.

Abstract: A method for zero-shot event extraction, performed by a computer device. The method includes training a context encoder, a first definition encoder, and a second definition encoder with auto extracted context-definition alignment data; retrieving a plurality of verbal synsets from a lexical database; refining a representation model based on the context-definition alignment data and the plurality of verbal synsets; encoding a plurality of candidate event type definitions; encoding the refined representation model with the trained context encoder; and determining whether the encoded representation model belongs to one of the plurality of candidate event type definitions based on a cosine similarity between the encoded representation model, the trained context encoder, the first trained definition encoder, and the second trained definition encoder.

Abstract: A current a version of an external component (e.g., an open-source component or a third-party component) that is used in a software application is identified. A new version of the current version of the external component is identified (supply chain components). For example, the new version may have been just released by an open-source community. In response to identifying the new version of the current version of the of the external component, a series of actions are implemented that include: identifying changes to Application Programming Interfaces (APIs) in the new version of the current version of the external component; identifying new vulnerabilities in the new version of the current version of the external component; and determining a quality history associated with the new version of the current version of the external component. Based on the actions, a composite score is generated and displayed to a developer.

Abstract: Operations of a method include receiving a configuration request requesting configuration management of a base configuration package that describes infrastructure of an application. The operations include determining, for the base configuration package, a plurality of package functions. Each package function of the plurality of package functions extends functionality of the base configuration package. The operations include determining, for the base configuration package and the plurality of package functions, a change-proposal function. The change-proposal function proposes one or more of the plurality of package functions to extend the functionality of the base configuration package. The operations include transmitting, to a user device, the change-proposal function and receiving, from the user device, approval of the change-proposal function.

Abstract: A secure cloud-based node-locking service with built-in attack detection to eliminate fuzzing, cloning and other attacks is disclosed. White-box base files are securely stored on the cloud service and are not vulnerable to accidental leakage. A secure cloud-based dynamic secret encoding service reduces the risk of exposure of unprotected secrets and other sensitive data.

Abstract: A method includes receiving a point data anomaly detection query from a user. The query requests the data processing hardware to determine a quantity of anomalous point data values in a set of point data values. The method includes training a model using the set of point data values. For at least one respective point data value in the set of point data values, the method includes determining, using the trained model, a variance value for the respective point data value and determining that the variance value satisfies a threshold value. Based on the variance value satisfying the threshold value, the method includes determining that the respective point data value includes an anomalous point data value. The method includes reporting the determined anomalous point data value to the user.

Abstract: A compromised data exchange system extracts data from websites using a crawler, detects portions within the extracted data that resemble personally identifying information (PII) data based on PII data patterns using a risk assessment module, and compares a detected portion to data within a database of disassociated compromised PII data to determine a match using the risk assessment module. A risk score may be assigned to a data item within the database in response to determining the match. In some embodiments, URL data may also be detected in the extracted data. The detected URL data represents further websites that can be automatically crawled by the system to detect further PII data.

Abstract: A method performed by at least one processor includes receiving a first input stream of a task and a second input stream of a solution. The method further includes selecting the first input stream or the second input stream. The method further includes providing the selected input stream to an image conversion model and a language model. The method further includes creating, based on the selected input stream, a model ensemble of the conversion model and the language model. The method further includes outputting a prediction based on the model ensemble. The method may further include generating an image corresponding to text, converting a textual task into a multimodal task, and solving the multimodal task.

Abstract: An apparatus with an integrated circuit (IC) chip can provide protection against attacks on a cryptographic coprocessor. An attacker can compromise a cryptographic coprocessor by, for instance, obtaining a private encryption key or instruction code. To combat these attacks, example implementations store information in encrypted form. The information may correspond to data, instruction code, or intermediate values located in state registers. To securely and quickly “erase” such stored information, the cryptographic coprocessor can change the encryption key. In other example implementations, random numbers are provided with two different levels of “randomness quality” that is appropriate for different types of procedures. A cryptographic coprocessor can include two registers that store randomized bits in accordance with the two different quality levels for rapid access during cryptographic operations.

Abstract: Computer-implemented techniques and systems for generating vehicle profiles may include scanning a plurality of vehicles, each vehicle located at a respective vehicle location, identifying respective vehicle locations for each of the plurality of vehicles, based on scanning the plurality of vehicles, associating a vehicle identification tag for each vehicle with its respective vehicle location, interpreting a signal to determine a user location, determining that the user location is within a threshold distance from a first vehicle location of a first vehicle from the plurality of vehicles, providing a first vehicle identification tag corresponding to the first vehicle based on determining that the user location is within the threshold distance, generating a first vehicle profile based on the first vehicle identification tag, and providing the first vehicle profile to a user device.

Abstract: A method for dynamically generating training data for a model includes receiving a transcript corresponding to a conversation between a customer and an agent, the transcript comprising a customer input and an agent input. The method includes receiving a logic model including a plurality of responses, each response of the plurality of responses representing a potential reply to the customer input. The method further includes selecting, based on the agent input, a response from the plurality of responses of the logic model. The method includes determining that a similarity score between the selected response and the agent input satisfies a similarity threshold, and, based on determining that the similarity score between the selected response and the agent input satisfies the similarity threshold, training a machine learning model using the customer input and the selected response.

Abstract: Disclosed is an approach to implement a synthetic engagement system for process-based problem solving. One variant includes: a computing system comprising one or more operatively coupled computing resources; and a user interface operated by the computing system and configured to engage a human operator in accordance with a predetermined process configuration toward an established requirement based at least in part upon one or more specific facts; wherein the user interface is configured to allow the human operator to select and interactively engage one or more synthetic operators operated by the computing system to proceed through the predetermined process configuration, and to return a result to the human operator selected to at least partially satisfy the established requirement; and wherein each of the one or more synthetic operators is informed by a convolutional neural network informed at least in part by historical actions of a particular actual human operator.

Abstract: A magnetic sensor device comprising a plurality of magnetic sensor elements; each magnetic sensor element including a magnetic tunnel junction including a reference layer having a reference magnetization, a sense layer having a sense magnetization and a tunnel barrier layer; the sense magnetization comprising a stable vortex configuration in the absence of an external magnetic field, the vortex having a core reversibly movable in a plane (P) of the sense layer according to an external magnetic field; the sense layer including a peripheral shape in the plane (P), the peripheral shape including an asymmetric edge portion; the magnetic sensor elements being arranged such that the edge portion of a magnetic sensor element is opposite to the edge portion of the adjacent magnetic sensor element.

Abstract: A method includes obtaining a compute graph for computing a first tensor, identifying in the graph a reduction operation in at least one dimension of the first tensor, locating, at the operation, a cut point that cuts the graph into first and second portions, and determining a plurality of slices of the first tensor. The method also includes backpropagating the cut point through the graph to define a plurality of first graph pieces for the first portion, each particular first graph piece representing a computation of a particular slice of the plurality of slices based on a particular portion of a plurality of portions of a second tensor. The method further includes defining one or more second graph pieces to combine outputs of the first graph pieces, and executing the first graph pieces and the second graph pieces to execute the first portion of the compute graph.

Abstract: A method at an electronic device with a display includes: displaying a user interface having a first region and a second region; receiving, and displaying in the first region of the user interface, a live video stream of a physical environment captured by a remote video camera; displaying, in the second region, a timeline corresponding to a timespan for a first portion of a duration during which the live video stream may have been recorded; in response to receiving a user interaction to move the timespan to a second portion of the duration, transitioning the displayed timeline to a new timeline that corresponds to the timespan for the second portion, and while transitioning, displaying, in the first region, a subset of video frames representing the first and/or second portion of the duration.

Abstract: Methods and systems are described for novel uses and/or improvements to federated learning. As one example, methods and systems are described for improving the applicability of federated learning across various applications and increasing the efficiency of training a global model through federated learning. As another example, methods and systems are described for ensuring comprehensive training data is available to models assigned by the federated learning server. Additionally, methods and systems are described for improving the rate of training a global model through federated learning.

Abstract: A scanner device has count buttons. A user can count the number of inventory by pressing the count buttons. Each of the count buttons is assigned a corresponding inventory count. The user can perform a quick and accurate count by pressing count buttons depending on the number of items recognized.