Abstract: An example method of message routing includes: receiving a request to send a message to a specified user of a plurality of users of a communication services platform; providing a user profile of the specified user to a send time optimization model, wherein the user profile characterizes actions of one or more predefined action types that were performed by the specified user in response to receiving previous communications; identifying, based on the output of the send time optimization model, a preferred time range for communicating with the specified user; and causing, within the preferred time range, a message to be sent to the specified user.

Abstract: A method and system for performing a neural level vulnerability detection are disclosed. The method includes receiving a neural network model, performing a bit-level corruption check on the received neural network model indicating a potential presence of an embedded malware in the neural network model, and deploying the neural network model. The method further includes scheduling a periodic anomaly detection on the deployed neural network model, performing the periodic anomaly detection on the deployed neural network model for detecting an anomaly at a scheduled time, and when the anomaly is detected on the neural network model, executing an explainable artificial intelligence based embedded malware exploration to identify an alteration made by the embedded malware at a neuron level of the neural network model.

Abstract: Methods and systems for object detection include generating a negative description for an input image based on a positive description of the input image using a language model. A negative image is generated based on the input image and the negative description by replacing a portion of the input image that is described by the positive description with content that is described by the negative description using a generative image model. An object detection model is trained with the input image, the positive description, the negative description, and the negative image.

Abstract: Physiological data from a wide variety of physiological sensors and sensor types may be mapped to values that are independent of the type of sensor or equivalent to a value that would be produced by another sensor.

Abstract: In some embodiments, a method receives a set of packets for a flow and determines a set of features for the flow from the set of packets. A classification of an elephant flow or a mice flow is selected based on the set of features. The classification is selected before assigning the flow to a network resource in a plurality of network resources. The method assigns the flow to a network resource in the plurality of network resources based on the classification for the flow and a set of classifications for flows currently assigned to the plurality of network resources. Then, the method sends the set of packets for the flow using the assigned network resource.

Abstract: Methods and systems for segmentation include encoding an image using a backbone model to generate feature maps. An exit point based on one of the feature maps. The feature maps are processed with a dynamic transformer encoder that includes layers, exiting the dynamic transformer encoder at a layer identified by the exit point. An output of the dynamic transformer encoder is decoded to output a segmentation of the image.

Abstract: The system obtains a hierarchy representing a construction site, where the hierarchy includes a parent node and a child node, and obtains a first computer model of a first construction site including a first multiplicity of virtual objects. Based on the hierarchy representing the construction site, and the first computer model of the first construction site, the system creates a first map between the hierarchy representing the construction site and the first computer model of the first construction site. The system trains an artificial intelligence based on the first map, and then provides to the artificial intelligence a second computer model of a second construction site. The system receives from the artificial intelligence a second map between the hierarchy representing the construction site and the second computer model.

Abstract: Methods and apparatus relating to techniques for avoiding cache lookup for cold cache. In an example, an apparatus comprises logic, at least partially comprising hardware logic, to collect user information for a user of a data processing device, generate a user profile for the user of the data processing device from the user information, and set a power profile a processor in the data processing device using the user profile. Other embodiments are also disclosed and claimed.

Abstract: Building such optimized DNN models model for resource constrained devices require huge amount of workflow setup, engineering skills and research skills. There is a need to automate the process for generation of optimized DNN models for Green analytics. A method and system providing integrated platform for rapid automated generation of Tiny ML models for edge devices by integrating multiple optimization techniques and recommending the mist appropriate technique based on available input parameters is provided. Further one of the optimization technique the Fast-NAS can be generalized across multiple applications and consume 95% less computational power (GPU hours). The enhancement is achieved using a performance evaluation technique for generated models using new metric, a new reward function with adaptive parameters, an early-exit strategy to further expedite the optimization process, and a new NAS flow enhanced with AutoML (Hyper-Parameter Optimization) to minimize human intervention.

Abstract: The present disclosure relates to a method of generating auxiliary data for controlling a satellite travelling in orbit around Earth, the method comprising: receiving tracking data for the satellite; applying an orbit determination algorithm including: estimating an orbit for the satellite based on the tracking data; and predicting, based on the estimated orbit, future ephemerides data of the satellite; generating auxiliary data comprising predicted future ephemerides data; and transmitting the auxiliary data to the satellite for use in the satellite's attitude and orbit control.

Abstract: The system obtains a hierarchy representing a construction site, and multiple queries associated with a node in the hierarchy, where a query among the multiple queries requests an indication of a stage of construction associated with an object at the construction site represented by the node, and where the query among the multiple queries requests an answer from a binary set. The system obtains a recording of the object at the construction site and presents the recording and the multiple queries to a user. The system receives the answer from the binary set from the user, and creates an artificial intelligence training dataset based on the answer associated with the binary set and the recording of the object.

Abstract: An absorbent article having a garment-facing surface, a wearer-facing surface, a topsheet, a backsheet, an absorbent core positioned at least partially intermediate the topsheet and backsheet, and a component comprising a laminate. The laminate includes a first nonwoven substrate, a second nonwoven substrate, and a plurality of elastic strands positioned at least partially intermediate the first and second nonwoven substrate. The first nonwoven substrate includes a first plurality of fibers having a first color and a second plurality of fibers having a second color. The first and second colors are different. The laminate includes a first side and a second side opposite the first side. The first nonwoven substrate forms a portion of the first side and the first side includes a plurality of disruptive coloring clusters. At least a pair of disruptive coloring clusters have a E of greater than two in a relaxed and/or extended state.

Abstract: Multiple predictions about the position of an object during a time period may each indicate the position of the object at a respective time during the time period. Respective validity indications corresponding to the multiple predictions may each indicate an accuracy of the corresponding prediction. Whether a change has occurred in a distribution of the predictions from a first subset of predictions to a second subset of predictions during the time period may be determined. If the change has occurred, a prediction from the first subset of predictions or the second subset of predictions may be selected, based on the validity of the predictions and/or the detection of a motion, as a best indication of the position of the object.

Abstract: A light emitting device (LED) comprises a substrate, an anode layer disposed on the substrate, a hole injection layer disposed on the anode layer, a hole transport layer disposed on the hole injection layer, an emitting layer disposed on the hole transport layer, an electron transport layer disposed on the emitting layer, and a cathode layer disposed on the electron transport layer. At least one of the anode layer and the cathode layer is transparent. The emitting layer comprises a mixture of luminescent nanoparticles and an insulating material.

Abstract: One embodiment provides an apparatus comprising a memory stack including multiple memory dies and a parallel processor including a plurality of multiprocessors. Each multiprocessor has a single instruction, multiple thread (SIMT) architecture, the parallel processor coupled to the memory stack via one or more memory interfaces. At least one multiprocessor comprises a multiply-accumulate circuit to perform multiply-accumulate operations on matrix data in a stage of a neural network implementation to produce a result matrix comprising a plurality of matrix data elements at a first precision, precision tracking logic to evaluate metrics associated with the matrix data elements and indicate if an optimization is to be performed for representing data at a second stage of the neural network implementation, and a numerical transform unit to dynamically perform a numerical transform operation on the matrix data elements based on the indication to produce transformed matrix data elements at a second precision.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; a network interface; a user-space application including instructions to interact with a web site via a uniform resource locator (URL); and a security agent including instructions to: intercept an interaction of the user-space application with the web site; determine that the intercepted interaction is to send sensitive information to the web site; suspend the interaction; and assign a reputation to the URL.

Abstract: Examples provide an application program interface or manner of negotiating locking or pinning or unlocking or unpinning of a cache region by which an application, software, or hardware. A cache region can be part of a level-1, level-2, lower or last level cache (LLC), or translation lookaside buffer (TLB) are locked (e.g., pinned) or unlocked (e.g., unpinned). A cache lock controller can respond to a request to lock or unlock a region of cache or TLB by indicating that the request is successful or not successful. If a request is not successful, the controller can provide feedback indicating one or more aspects of the request that are not permitted. The application, software, or hardware can submit another request, a modified request, based on the feedback to attempt to lock a portion of the cache or TLB.

Abstract: Embodiments provide electronic methods and systems for facilitating payment transactions to delivery agents. The method performed by a server system includes obtaining order related data associated with an order placed by a customer with a merchant. The method includes determining whether a payment transaction amount is within one or more transaction threshold limits or not. Further the method includes facilitating a credit transaction by an issuer server for effectuating a transfer of the payment transaction amount to a payment instrument of a delivery agent. The method further includes receiving a payment transaction request in response to using the payment instrument at a payment terminal associated with the merchant. The method includes transmitting a payment authorization request message to the issuer server.

Abstract: Three-dimensional (3D) DRAM integrated in the same package as compute logic enable forming high-density caches. In one example, an integrated 3D DRAM includes a large on-de cache (such as a level 4 (L4) cache), a large on-die memory-side cache, or both an L4 cache and a memory-side cache. One or more tag caches cache recently accessed tags from the L4 cache, the memory-side cache, or both. A cache controller in the compute logic is to receive a request from one of the processor cores to access an address and compare tags in the tag cache with the address. In response to a hit in the tag cache, the cache controller accesses data from the cache at a location indicated by an entry in the tag cache, without performing a tag lookup in the cache.

Abstract: A system may include a control system for controlling one or more operations of one or more industrial devices in an industrial system. The control system may receive streaming data comprising one or more visualizations representative of one or more live operational parameters associated with one or more industrial devices. The streaming data may include multiple image frames. The control system may also identify multiple datasets associated with the streaming data and generate multiple machine-readable images based on the multiple datasets. In addition, the control system may embed the multiple machine-readable images within the multiple image frames of the streaming data to generate updated streaming data and send the updated streaming data to a computing system that may extract the multiple machine-readable images from the updated streaming data.