Abstract: A system and method are provided for tracking the quality of telemetry data in a wireless network, and to provide profiling of the telemetry to prevent erroneous radio resource management (RRM) computations. Statistical profiles are generated from the telemetry data that includes both computation data, which is used in RRM computations, and other network data. A data-quality score is generated based on the other data and statistical profiles of the computation data. The data-quality score represents whether the telemetry data is of sufficient quality to be used in RRM computations. The data-quality score can be based, at least in part, on detecting changes in the statistical profiles relative to a baseline statistical profile of the telemetry data and using the second network data to assess a likelihood that the detected changes arise from a degradation in a quality of the first network data.

Abstract: In accordance with some embodiments, systems, methods, and media for Eulerian single-photon computer vision are provided. In some embodiments, the system comprises: an image sensor comprising detectors configured to detect arrival of individual photons, and arranged in an array; a processor programmed to: cause the image sensor to generate a sequence of images representing a scene, each of the images comprising a plurality of pixels; perform, for each of a plurality of three dimensional filters, a convolution between the three dimensional filter and a plurality of frames, wherein each of the plurality of frames is based on one or more of the images of the sequence of images; generate, for each of the plurality of frames, a plurality of filter bank responses each corresponding to a three dimensional filter of the plurality of three dimensional filters; and perform a computer vision process based on the plurality of filter responses.

Abstract: The technology described herein determines whether a candidate text is in a requested class by using a generative model that may not be trained on the requested class. The present technology may use of a model trained primarily in an unsupervised mode, without requiring a large number of manual user-input examples of a label class. The may produce a semantically rich positive example of label text from a candidate text and label. Likewise, the technology may produce from the candidate text and the label a semantically rich negative example of label text. The labeling service makes use of a generative model to produce a generative result, which estimates the likelihood that the label properly applies to the candidate text. In another aspect, the technology is directed toward a method for obtaining a semantically rich example that is similar to a candidate text.

Abstract: Various examples are provided in relation to improved recovery and throughput of both fine and coarse particulate materials. In one example, a method includes injecting an aqueous suspension of a cloud of small air bubbles into an aqueous phase including fine particulate materials, wherein the fine particulate material is selectively hydrophobized and collected by small air bubbles; allowing the bubbles to rise in the aqueous phase; and collecting the air bubbles to obtain a concentrate of the fine particulate materials. In another example, a method includes adding a hydrophobizing agent to an aqueous phase to render coarse particulate material selectively hydrophobic; allowing air bubbles to attach to the coarse particulate material and changing the apparent specific gravity of the coarse particulate materials so a layer of one type of coarse particle is formed on top; allowing the one type of coarse particles to float and enter the forth phase.

Abstract: In general, techniques for efficient data retrieval from a backup system are described. An example computing system includes one or more storage devices and processing circuitry having access to the one or more storage devices and configured to: process an input to generate a filter, wherein the input indicates a context for one or more queries; apply the filter to backup data to obtain filtered data from the backup data; generate an index of embeddings from the filtered data; process, based on the index of embeddings, a query to generate a response for the query; and output the response.

Abstract: An information handling system may include at least one processor and a non-transitory, computer-reading medium having instructions thereon that are executable by the at least one processor for: providing access to one or more objects via a plurality of application programming interface (API) endpoints; receiving a call to a particular API endpoint from an app; and determining, based on a security identifier (SID) of the app, whether the call should be allowed; wherein the SID of the app is based on one or more custom capabilities defined in a manifest of the app.

Abstract: A method of treating a mammalian subject having hematologic, non-tumorous cancer cells is disclosed. The method comprises the steps of: (A) administering to such a mammalian subject a therapeutically effective amount of a halogenated xanthene, a pharmaceutically acceptable salt or a C1-C4 alkyl ester thereof as a first cancer cytotoxic agent dissolved or dispersed in a pharmaceutically acceptable aqueous medium. The mammalian subject is maintained for a period of time sufficient to induce death of hematologic, non-tumorous cancer cells. A contemplated administration is typically repeated. A contemplated treatment method can also be carried out in conjunction with administration to said mammalian subject of a second therapeutically effective amount of a second, differently-acting cancer cytotoxic agent dissolved or dispersed in a pharmaceutically acceptable medium. The second cancer cytotoxic agent can be a small molecule or an intact antibody or paratope-containing portion thereof.

Abstract: An interface provides answers to natural language user queries based upon real time data generated by live processes. The natural language queries are converted into a machine query syntax and the machine query syntax is provided to a large language model without sharing underlying data that is used to satisfy the natural language query by serving the data to the end user while, at the same time, masking the data from large language model, where interaction with the large language model is based upon a predefined syntax protocol. A reply is a received from the large language model in the same syntax and the reply is used to create an output to be served to the end user and/or to execute a functionality.

Abstract: In some implementations, a server may receive, from the target UE, a message indicative of: a capability of the target UE for WLAN positioning, and an absence of a sidelink interface of the target UE with another UE. The server may send instructions to one or more prospective assistance UEs to initiate WLAN functionality to enable the target UE to associate with the one or more prospective assistance UEs. The server may receive, from the one or more prospective assistance UEs, WLAN identification information of the one or more prospective assistance UEs. The server may send WLAN identification information of the one or more prospective assistance UEs to the target UE.

Abstract: Provided are a network service construction system and a network service construction method which are capable of flexibly constructing network services that satisfy various needs. A purchase management module receives service requirement data indicating a service requirement. An E2EO module and an inventory management module identify, based on the service requirement data, a configuration of a functional unit group that achieves a network service. Based on the identified configuration and template data in which the configuration is acceptable as a parameter, a CMaaS module, a service manager module, and a slice manager module identify a construction procedure of the functional unit group. The CMaaS module, the service manager module, the slice manager module, and a container management module construct the functional unit group by executing the identified construction procedure.

Abstract: A method for presenting personalized content to a user includes receiving user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network, extracting one or more data tags from the received user data, associated at least one data tag with a message, finding information in the network that corresponds to the associated data tag, generating a notification for the user, the notification including the found information in the network, and outputting the generated notification to a user interface of a device of the user.

Abstract: A system and method for facilitating communication between a control server and robotic devices are provided. An integration engine of the system identifies protocol schemes and message schemes that are supported by the control server and robotic devices. When the protocol schemes and message schemes of the control server and the robotic devices are same, the integration engine facilitates transmission and reception of instructions between the control server and the robotic devices through identified communication interfaces. When the protocol schemes and message schemes of the control server and the robotic devices are different, the integration engine translates the protocol schemes and message schemes that are received from one of the control server and the robotic devices to facilitate communication between the control server and the robotic devices through identified communication interfaces.

Abstract: Described is a system and method for implementing a prefetcher with an out-of-order filtered prefetcher training queue. A processing system includes a prefetcher and a prefetcher training queue connected to the prefetcher. The prefetcher training queue configured to receive one or more demand requests from one or more load-store units, allocate a prefetcher training queue entry for a non-duplicative demand request, and send, to the prefetcher, a stored demand request together with a hit or miss indicator, wherein the prefetcher training queue sends stored demand requests without regard to program order.

Abstract: Presented herein are systems and methods for generative design of custom biologics. In particular, in certain embodiments, generative biologic design technologies of the present disclosure utilize a machine learning models to create custom (e.g., de-novo) peptide backbones that, among other things, can be tailored to exhibit desired properties and/or bind to specified target molecules, such as other proteins (e.g., receptors). Generative machine learning models described herein may be trained on, and accordingly leverage, a vast landscape of existing protein and peptide structures. Once trained, however, these generative models may create wholly new (de-novo) custom peptide backbones that are expressly tailored to particular targets. These generated custom peptide backbones can, e.g., subsequently, be populated with amino acid sequences to generate final custom biologics providing enhanced performance for binding to desired targets.

Abstract: Presented herein are systems and methods for generative design of custom biologics. In particular, in certain embodiments, generative biologic design technologies of the present disclosure utilize a machine learning models to create custom (e.g., de-novo) peptide backbones that, among other things, can be tailored to exhibit desired properties and/or bind to specified target molecules, such as other proteins (e.g., receptors). Generative machine learning models described herein may be trained on, and accordingly leverage, a vast landscape of existing protein and peptide structures. Once trained, however, these generative models may create wholly new (de-novo) custom peptide backbones that are expressly tailored to particular targets. These generated custom peptide backbones can, e.g., subsequently, be populated with amino acid sequences to generate final custom biologics providing enhanced performance for binding to desired targets.

Abstract: Methods and apparatuses for providing a real-time enterprise knowledge assistant that automatically responds to user comments and questions via a graphical user interface are described. The enterprise knowledge assistant may display automated responses to questions provided by users within a persistent chat channel (or other communications channel). The information displayed or referenced (e.g., via a linked electronic document) within an automated response to a user's factual question may be determined based on access rights to linked documents and the number of electronic interactions between users, such as the number of times that users co-edited or collaborated on documents (e.g., programming code). Upon detection that at least a portion of a user's message within a chat channel has been classified as a factual question, the enterprise knowledge assistant may access question and answer pairings stored within a frequently asked questions database and display an authorized answer.

Abstract: Supplementing artificial intelligence (AI)/machine learning (ML) models via an action center, providing AI/ML model retraining hardware control, and providing AI/ML model settings management are disclosed. AI/ML models may be deployed on hosting infrastructure where the AI/ML models can be called by robotic process automation (RPA) robots. When the performance of an AI/ML model falls below a threshold, the result of the AI/ML model prediction and other data is sent to an action center where a human reviews the data using a suitable application and approves the prediction or provides a correction if the prediction is wrong. This action center-approved result is then sent to the RPA robot to be used instead of the prediction from the AI/ML model.

Abstract: A controller can securely publish an application of a tenant by securely extending a network fabric into the networks of the tenant with virtual private networks and NAT. After a tenant deploys an application into one or more networks of the tenant, the tenant can indicate select applications to publish. The network controller assigns a network address from the routable address space of the network fabric to the application and a network address aggregate to each application connector that will front an instance of the application, which securely extends the network fabric into the tenant network. The network controller configures NAT rules in the network fabric and on the application connector to create a route for traffic of the application through the network fabric to the application instance using a fully qualified domain name assigned to the application without exposing a private network address of the application instance and preserving security of other resource on the tenant network.

Abstract: An apparatus to facilitate tessellation redistribution for reducing latencies in processors is disclosed. The apparatus includes a processor to provide parallel interconnected geometry fixed-function units with separate front end and back ends, the front ends to perform patch culling and transmission and the back ends to perform patch reception from the front end and patch tessellation; provide a tessellation redistribution central engine to redistribute patches among the back ends using a redistribution bus; receive, by the tessellation redistribution central engine from the front ends in parallel, patch transmissions marked for distribution, the tessellation redistribution engine to process the patch transmissions in order; and in response to receiving a synchronization barrier packet from one of the front ends, broadcast, by the tessellation redistribution central engine, the synchronization barrier packet to the back ends to cause one of the back ends to process tessellation work locally.

Abstract: Disclosed herein is a server management apparatus, comprising: a server information acquisition unit configured to acquire configuration information and identifier information of a plurality of servers that constitute a network; a script generation unit configured to generate a script for booting each server for each of the plurality of servers based on the configuration information and the identifier information of the plurality of servers acquired; a remote disk setting unit configured to write the script generated by the script generation unit to a remote disk to be mounted on each of the plurality of servers to set the remote disk; and a command issuance unit configured to issue, to each of the plurality of servers via the network, a command to mount the remote disk set by the remote disk setting unit on a corresponding server.