Abstract: In various examples, low power proximity based threat detection using optical flow for vehicle systems and applications are provided. Some embodiments may use a tiered framework that uses sensor fusion techniques to detect and track the movement of a threat candidate, and perform a threat classification and/or intent prediction as the threat candidate approaches approach. Relative depth indications from optical flow, computed using data from image sensors, can be used to initially segment and track a moving object over a sequence of image frames. Additional sensors and processing may be brought online when a moving object becomes close enough to be considered a higher risk threat candidate. A threat response system may generate a risk score based on a predicted intent of a threat candidate, and when the risk score exceeds a certain threshold, then the threat response system may respond accordingly based on the threat classification and/or risk score.

Abstract: Described herein are methods, systems, and apparatuses for storage analysis and management using computer vision techniques. An imaging device may capture a series of images of a plurality of containers. The series of images may be analyzed by a classification model to determine a current capacity of each container. When the classification model determines that a current capacity of a container(s) satisfies a threshold(s), at least one remedial action may be performed.

Abstract: Face profiles for multiple people associated with a user are obtained at a computing device. The face profile for a person identifies the face of the person (e.g., an image of the face of the person) and a confidence level indicating how important that person is to the owner. An image is captured at the computing device and a determination is made, based on a confidence level associated with at least one face in the image, whether the image is relevant to the user. One or more actions to keep the image are taken in response to determining that the image is relevant to the user, such as saving the image at the computing device or transmitting the image to a computing device of the user.

Abstract: A method for artificial intelligence software to manage and optimize energy consumption across a vertical farm and a greenhouse, comprising: a grid of solar panels that provide solar power, a solar battery and sensors throughout the vertical farm; wherein the greenhouse can be heated or cooled; wherein heating and cooling is managed per type of plant and stage of growth; wherein there is a combined cycle sensor, instrumentation; wherein data from both the vertical farm and the greenhouse is fed into the combined cycle sensor and instrumentation; wherein there is an outdoor light measurement sensor that measures and estimates the conditions of solar power in the solar grid, and sends data to artificial intelligence software; wherein the artificial intelligence software determines how much light various plants in the hydroponic greenhouse needs in order for those plants to maximize the yield from those plants.

Abstract: A trained one-dimensional convolutional neural network (1D CNN) efficiently detects credentials that allow access to sensitive data across an organization. The 1D CNN has a lightweight architecture with one or more one-dimensional convolutional layers that capture semantic context of text data and a one-hot encoding embedding layer that takes unprocessed characters from documents as input. Lightweight architecture of the 1D CNN allows for high volume, fast detection of credentials for data loss prevention. The 1D CNN is trained on documents augmented with natural language processing techniques including token replacement, machine translation, token rearrangement, and text summarization.

Abstract: Techniques for extracting data from conversations across different types of communication channels are disclosed. A system applies a set of rules to extract data from conversations based, at least in part, on a type of communication channel used for conducting the conversation. The system applies a machine learning model to recognize semantic content in conversations. The system divides conversations into conversation segments and classifies the conversation segments based on the semantic content. The system selects conversation segments to be extracted based on the semantic content and the type of communication channel over which a conversation is conducted. The system maps conversation segments from different conversations conducted on different types of communication channels to a same set of transactions.

Abstract: In one embodiment, a device obtains path metrics for a network path used to convey application traffic for an online application. The device discretizes the path metrics into labeled states. The device generates state transition visualization data that represents the labeled states as nodes and transitions between the labeled states as edges connecting the nodes. The device provides the state transition visualization data for display.

Abstract: In a pipeline, data events generated by a producer application are temporally grouped by using a group identification tag. For each data event, data points are generated and uploaded to a storage and cache at each point of production and consumption. The storage allows a matching of data events between the production point and the consumption point, thereby ensuring that streaming parity is maintained. In cases of mismatch, the cache allows for detecting missing data events, i.e., identifying data events that were generated by an upstream producer application, but not consumed by a downstream consumer. While being agnostic to the transformations applied by the various applications in the pipeline, the embodiments disclosed herein keep track of the output data events and input data events and precisely identify the missing data events.

Abstract: Disclosed herein are apparatus and methods for reducing latency in core network processing in the telecommunications networks. A method includes receiving, by a network function (NF) at registration time with a network function repository function (NRF), resource metrics and a network address for each NF registered with the NRF, invoking, by the NF, one or more network addresses to request updated resource metrics from an associated NF, starting, by the NF, a response timer for each invoked network address, stopping, by the NF, the response timer for each invoked network address upon receipt of an updated resource metrics from the associated NF, determining, by the NF, a round-trip time for each associated NF having a start time and a stop time, and determining, by the NF, a ranking for each NF based on at least one of the round-trip time and the updated resource metrics.

Abstract: Embodiments include methods of forming three-dimensional packages and the packages resulting therefrom. The packages may utilize a bridge die to electrically connect one die to another die and at least one additional die adjacent to the bridge die. The height-to-width ratio of the gap between the bridge die and the at least one additional die is controlled by thinning the bridge die to be thinner than the at least one additional die. The packages may utilize landing structures to adjoin a dielectric material of an attached die to a metallic landing structure of a base die.

Abstract: A food processing device is disclosed that includes a rotation source generating a rotatory motion about a first axis of rotation (A1) and an auger mechanically coupled to the rotation source. The rotation source imparts rotatory motion to the auger, such that the first axis of rotation (A1) of the rotation source is offset from a second axis of rotation (A2) of the auger. The auger is configured to receive a food-product. A cutter assembly is positioned vertically below the auger that receives the food-product from the auger. The cutter assembly includes a stator cutter and a rotating cutter configured to rotate relative to the stator cutter. The auger is mechanically coupled to the rotating cutter to cause the rotating cutter to rotate.

Abstract: The system obtains KPIs of the production RAN of the network and capabilities of multiple UEs interacting with the test RAN. The system creates a test case based on the KPIs and the capabilities of the multiple UEs interacting with the test RAN by: adjusting a type of traffic associated with the test RAN, adjusting traffic characteristics, and adjusting the capabilities of the multiple UEs interacting with the test RAN. The system runs a simulation of the test case interacting with the test RAN to obtain simulation KPIs. The system determines whether the simulation KPIs correspond to the KPIs associated with the production RAN. Upon determining that the simulation KPIs correspond to the KPIs of the production RAN, the system stores the test case in a database. Upon determining that the simulation KPIs do not correspond to the KPIs of the production RAN, the system adjusts the test case.

Abstract: A ferroelectric memory chiplet in a multi-dimensional packaging. The multi-dimensional packaging includes a first die comprising a switch and a first plurality of input-output transceivers. The multi-dimensional packaging includes a second die comprising a processor, wherein the second die includes a second plurality of input-output transceivers coupled to the first plurality of input-output transceivers. The multi-dimensional packaging includes a third die comprising a coherent cache or memory-side buffer, wherein the coherent cache or memory-side buffer comprises ferroelectric memory cells, wherein the coherent cache or memory-side buffer is coupled to the second die via I/Os. The dies are wafer-to-wafer bonded or coupled via micro-bumps, copper-to-copper hybrid bond, or wire bond, Flip-chip ball grid array routing, chip-on-wafer substrate, or embedded multi-die interconnect bridge.

Abstract: Optimizing cache energy consumption in processor-based devices is disclosed herein. In some aspects, a processor-based device comprises a way lookup table (WLUT) circuit that is configured to receive an effective address (EA) for a memory access request. The WLUT circuit determines that a tag portion of the EA corresponds to a tag of a WLUT entry among a plurality of WLUT entries. In response, the WLUT circuit transmits a predicted way indicator of the WLUT entry to a cache controller. The cache controller accesses, in a set among a plurality of sets of a cache memory device corresponding to a set portion of the EA, only a predicted tag way among a plurality of tag ways of the cache memory device indicated by the predicted way indicator and only a predicted data way among a plurality of data ways of the cache memory device indicated by the predicted way indicator.

Abstract: An information management system according to certain aspects is provided to perform archiving based on third-party application rules and third-party metadata. The system may include a third-party archiving data agent that can access archiving rules and/or metadata of a third-party application. The third-party archiving data agent may be a data agent that can access archiving rules and/or metadata of a third-party application, and can include or be in the form of a plug-in for a particular third-party application. The third-party archiving data agent can decide whether to archive a file associated with a third-party application by checking the third-party metadata associated with the file and determining whether the metadata meets the third-party archiving rules. The system can perform the archiving on behalf of the third-party application, and in certain embodiments, notify the third-party application that the archiving has been completed.

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for providing an interactive search exploration tool. In embodiments, an interactive search exploration tool is presented via a graphical user interface. The tool may include a primary topic, indicating the search query, that is positioned at a center of the interactive search exploration tool. The tool may also include distance indicators indicating extents of relatedness to the primary topic. The distance indicators can be represented as concentric shapes positioned around the primary topic at varying distances. The tool can also include a related topic(s) positioned around the primary topic. The related topic is positioned in proximity to a distance indicator that corresponds with an extent of relatedness of the related topic to the primary topic. Thereafter, in response to a selection of the related topic, a topic content snippet that provides a representation of the related topic is presented.

Abstract: Systems, devices, methods, and computer readable media are provided in various embodiments relating to generating a dynamic challenge passphrase data object. The method includes establishing, a plurality of data record clusters, representing a mutually exclusive set of structured data records of an individual, ranking the plurality of feature data fields based on a determined contribution value of each feature data field relative to the establishing of the data record cluster, and identifying, using the ranked plurality of feature data fields, a first and a second feature data field of the plurality of feature data fields. The method includes generating the dynamic challenge passphrase data object, wherein the first or the second feature data field is used to establish a statement string portion, and a remaining one of the first or the second feature data field is used to establish a question string portion and a correct response string.

Abstract: A method for service location optimization may include methods for deriving service location utilization data from video, predicting an operational characteristic of a service location, optimizing an operational characteristic of a service location, and presenting a user interface for user-directed optimization of an operational characteristic of a service location.

Abstract: A computer implemented method for generating a response to a received electronic message. A generative AI is prompted to analyse the electronic message and to generate intent data indicative of an intent associated with the electronic message and data-identifier data indicative of one or more predetermined data identifiers present in the electronic message. The electronic message is analysed to identify and retrieve client data associated with one or more parties associated with the electronic message. The method includes Verifying the retrieved client data includes data corresponding to the generated data-identifier data. If so, query an ERP system with the verified data-identifier data to extract ERP data corresponding to the predetermined data identifiers of which the data-identifier data is indicative, select a response-message template using the intent data, populate the selected response-message template with the ERP data, and present the populated response-message template to a user for approval.

Abstract: Techniques for propagating security group tag mapping between external interconnected sites that are not capable of carrying the SGT mappings. A system is disclosed that includes operations of subscribing at a first border of a first site, by a control plane, a first SGT mapping associated with a first data packet at the first site for storing the SGT mapping of the first data packet at the control plane. Then transmitting, the first data packet from the first border of the first site to a second border of the second site without attaching the first SGT mapping with the first data packet. Further, in response to a determination by the control plane that the first data packet has lost the associated first SGT mapping at the second border, identifying the SGT mapping with the first data packet at the second border to be re-associated with the first data packet.