Abstract: Mechanisms are provided for customizing an avatar in a virtual environment. A user that is interacting with the virtual environment, and to whom the avatar is to be rendered in the virtual environment, is identified and classified with regard to a plurality of affinity groups specifying levels of affinity between the first user and an operator of the avatar. A user security and privacy policy (USPP) data structure, associated with the operator, is retrieved that specifying security and privacy policies for each affinity group in the plurality of affinity groups. Based on the user classification and the security and privacy policy, an anonymization operation is applied to static and/or dynamic characteristics data for the operator which are used to render the avatar, to thereby generate anonymized characteristic data. The anonymized characteristic data is output for rendering the avatar in the virtual environment.

Abstract: Techniques for determining system performance without ground truth include receiving a trained model and one or more generator models, the trained model having been trained on training data. The trained model is used on testing data to produce labeled testing data, and the labeled testing data are used to train a proxy model. The one or more generator models are used to produce synthetic training data that are representative of the training data. The proxy model is used on the synthetic training data to produce predictions, and performance of the trained model is determined based on the predictions by the proxy model.

Abstract: Methods and systems for emulating an application include generating a log template to match one or more patterns in a set of application logs collected from an original application. Semantic state representations are learned for the original application from the log template. A classifier is trained to predict a next action template based on a sequence of prior action templates. A regressor is trained to generate a parameter value for a template based on a sequence of prior action templates and a particular semantic state of the original application.

Abstract: Provided are a computer program product, system, and method for managing radio-frequency spectrum in a network having a static cellular base station and a mobile cellular station servicing the radio-frequency spectrum. Information is maintained on physical resource blocks in the radio-frequency spectrum. Each physical resource block is defined for a frequency and timing advance from the static cellular base station. An assignment of the static cellular base station and the mobile cellular station are randomized, by timing advance and frequency, to provide cellular service to the physical resource blocks.

Abstract: A method, computer system, and a computer program product for supply chain optimization is provided. The present invention may include receiving augmented reality data from a plurality of users. The present invention may include categorizing the augmented reality data into one or more cohort groups according to attributes of the plurality of users. The present invention may include utilizing the one or more cohort groups to define a plurality of new products. The present invention may include presenting one or more of the plurality of new products to a user based on at least one of the one or more cohort groups to which the user belongs.

Abstract: Computer-implemented methods for providing personalized, interactive, and dynamic manuals for technical assistance are provided. Aspects include obtaining data representative of one or more actions of a user and instruction data, where the data and the instruction data are associated with performing a task. Aspects also include generating a latent space representation based on the data and the instruction data, the latent space representation including a first set of vectors corresponding to the one or more actions and a second set of vectors corresponding to the instruction data. Aspects also include managing the instruction data based on a result of comparing the first set of vectors and the second set of vectors.

Abstract: Embodiments related to using a foundational model for network packet traces. A technique includes receiving network traffic of a network and extracting features from the network traffic, the features having a function related to communications in the network. The technique includes generating tokens from the features, each of the features corresponding to a respective one of the tokens, training a machine learning model by inputting the tokens, the machine learning model being trained to output contextual embeddings for the tokens, and using the contextual embeddings to determine an anomaly in the network traffic.

Abstract: A method, system, and computer program product are configured to: receive a list of attributes of a virtual world rendering of an object, the list of attributes having been created by a first user; receive a digital rendering of a physical object provided to a second user based on the virtual world rendering of the object; determine attributes of the physical object from the digital rendering; make a determination that the physical object matches or does not match the virtual world rendering of the object based on comparing the list of attributes to the determined attributes of the physical object; and notify the first user and the second user of the determination that the physical object matches or does not match the virtual world rendering of the object.

Abstract: An embodiment for improved estimating of end-user performance of cloud-based services. The embodiment may collect, for a target cloud-based service, a first dataset including network level metrics, and a second dataset including end-user performance data from one or more monitoring services. The embodiment may combine the collected first dataset and second dataset to generate a curated training dataset. The embodiment may train a machine learning prediction model using the curated training dataset. The embodiment may predict and estimate, using the trained machine learning prediction model, the end-user performance of the target cloud-based service for any target end-user.

Abstract: The present inventive concept provides for a method of unmanned machine synchronization using robotic sensing. The method includes generating at least one physical signal in the vicinity of at least one unmanned machine. The at least one generated physical signal is received by the at least one unmanned machine. At least one task is performed by the at least one unmanned machine based on the at least one received generated physical signal.

Abstract: Methods and systems for emulating an application include generating a log template to match one or more patterns in a set of application logs collected from an original application. Semantic state representations are learned for the original application from the log templates. A classifier is trained to predict a next action template based on a sequence of prior action templates. A regressor is trained to generate a parameter value for a template based on a sequence of prior action templates and particular semantic state of the original application.

Abstract: A computer-implemented method for grouping devices in a massive multiple-input and multiple-output (MIMO)-based cellular network, in accordance with one embodiment, includes determining movement states of end devices in a cell of the massive MIMO-based cellular network, estimating payload requirements of the end devices, and grouping the end devices in a group based on the determined movement states and the estimated payload requirements.

Abstract: Methods and systems for execution of distributed analytics include building a global linked structure that describes correspondences between dataset metadata structures, analytics metadata structures, and location metadata structures and that encodes compatibility between respective datasets, analytics, and locations. A set of analytics and compatible datasets for execution is determined based on the dataset metadata structures, analytics metadata structures, and global linked structure. An optimal execution location is determined based on the determined set of analytics and compatible datasets, the location metadata structures, and the global linked structure. The set of analytics and compatible datasets are deployed to the optimal location for execution.

Abstract: A first computational device with a first visual display and a second computational device with a second visual display are maintained, wherein the first computational device is configured to read information displayed on the second visual display, and wherein the second computational device is configured to read information displayed on the first visual display. Byte streams are exchanged bidirectionally between the first computational device and the second computational device via the information displayed on the first visual display and the information displayed on the second visual display, wherein active radio transmission between the first computational device and the second computational device is avoided.

Abstract: A computer implemented method determines a placement of an application being added to a network. The method includes determining a logical-physical mapping for the application. Sub-graphs in the logical-physical mapping are identified. A stored application in a catalog of applications previously used in the network is located. The stored application includes one of the sub-graphs in the logical-physical mapping. An experiment is generated, performed by a computing device running a neural network model, using the sub-graphs. The experiment includes inducing a physical node mapping for the sub-graph. A cost function associated with a placement of the application being added to the network to one or more physical nodes in the induced physical node mapping is determined.

Abstract: Embodiments are related to improving the bandwidth of classical networks using quantum networks. Sender equipment transfers quantum bits over a quantum communications network to receiver equipment, the quantum bits being used to obtain entry values in a shared dictionary. The sender equipment determines a solution for an optimization problem using the entry values, where data to be transferred over a telecommunications network is expressed by the optimization problem. The sender equipment transfers the solution over the telecommunications network to the receiver equipment, where an equivalence of the data is transferred to the receiver equipment in response to the receiver equipment using the solution, the optimization problem, and the entry values to obtain the data.

Abstract: A computer-implemented method, according to one approach, includes receiving at least one set of qubits at a first client component, and using the at least one set of qubits to index a configuration dictionary to determine a first configuration. The configuration dictionary defines a plurality of different configurations. The method further includes causing the first client component to be configured according to the first configuration. A computer program product, according to another approach, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a first client component to cause the first client component to perform the foregoing method. A system, according to another approach, includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

Abstract: A method, computer program product and system are provided to provide control mechanisms in unidirectional data transfers. A processor connects to a secure device via a unidirectional connection. A processor sends a packet to the secure device via the unidirectional connection. A processor receives, from the secure device via a passive out-of-band channel, feedback regarding the transmission of the packet. A processor, in response to the feedback indicating that the packet was incorrectly received, resends the packet via the unidirectional connection with the secure device.

Abstract: A data mining method, system, and non-transitory computer readable medium include obtaining a subset of public records of data in a public domain and performing data mining, via private domain data, within the subset of the public records of data to find data in the public domain corresponding to a particular individual.

Abstract: A method, computer system, and a computer program product for training a machine learning model are provided. A first set of labelled training data from a source domain is obtained. A second set of labelled training data from a target domain is obtained. A number of labelled samples of the first set is greater than a number of labelled samples of the second set. The first machine learning model is trained with the first set and the second set and with a discriminator so that the discriminator is unable to distinguish whether a sample is from the first set or from the second set. The first machine learning model is trained with triplet loss regularization using the first set and the second set.