Abstract: Facial scanning data of an authorized user is received for requested access to a computing device. A facial expression of the facial scanning data is determined to match a predetermined facial expression. In response to identifying that the facial expression matches the predetermined facial expression, the computing device is caused to provide a set of functionality that correlates to the predetermined facial expression.

Abstract: A computer-implemented method according to one embodiment includes receiving a training data set to be applied to a model; selecting a subset of the training data set as a sample set; for each of a plurality of predetermined augmentations, applying the predetermined augmentation to the sample set to create an augmented sample set, training the model with the augmented sample set, determining a performance of the trained model, and assigning a weight to the predetermined augmentation for the training data set, based on the determined performance; and selecting one or more of the plurality of predetermined augmentations to be applied to the training data set before the training data set is applied to the model, based on the weight assigned to each of the plurality of predetermined augmentations.

Abstract: One embodiment provides a method, including: receiving a target unstructured document for determining whether the target unstructured document comprises biased information; identifying an objective of the target unstructured document by extracting, from the target unstructured document, (i) entities and (ii) relationships between the entities; creating a structured knowledge base, wherein the creating comprises (i) creating an entry in the structured knowledge base corresponding to the target unstructured document, (ii) identifying other unstructured documents having a similarity to the target unstructured document, and (iii) generating an entry in the structured knowledge base corresponding to each of the other unstructured documents; applying a bias detection technique on the structured knowledge base; and providing an indication of whether the target unstructured document comprises bias.

Abstract: In an approach to improve asynchronous replication in database clusters embodiments retain committed transactions during database cluster replication. Embodiments build and run asynchronous replication logic using database nodes running as one or more standalone nodes, wherein the asynchronous replication logic is responsible for data replication from a primary database node to one or more secondary database nodes. Embodiments register a replication reader to a sender node to replicate journal logs and replay the journal logs on the one or more secondary database nodes. Further, embodiments monitor replication lag metrics from the sender node and notify a replication source and a replication target of a generated replication plan, wherein the cluster controller instructs the replication source and the replication target to be ready to initiate the replication plan. Additionally, embodiments adjust a replication plan to allow the asynchronous replication logic to catch up and complete uncommitted transactions.

Abstract: Weather data, asset variable values, and failure data may be received. A correlation factor may be generated by comparing the weather data and the asset variable values. One or more weather variables may be selected based on the correlation factor. A predicted asset variable value may be determined based on the weather data and the selected weather variables. The weather data and the predicted asset variable values may be compared to predict a failure probability for a first asset segment.

Abstract: A method for execution by a storage unit in a dispersed storage network (DSN) includes selecting a storage zone of a memory device of the storage unit based on zone allocation parameters, and designating the selected storage zone as open for writes. A data slice is received via a network for storage. The data slice is written sequentially at a memory location of the one of storage zone based on determining that the storage zone is designated as open for writes. A pointer corresponding to the data slice that indicates the storage zone and the memory location is generated. A read request is received via the network from a requesting entity that indicates the data slice. The data slice is retrieved from the memory device based on the pointer, and is transmitted to the requesting entity.

Abstract: Systems, methods, and computer program products for the dynamic management of the capacity of long-lived connections to a server are provided. A request to change a first connection to a server is received. The server has a total capacity to process multiple concurrent requests from one or more clients over respective connections, and each connection is configured with a capacity for communicating concurrent client requests. One or more active connections to the server and corresponding current capacities are determined. A new capacity for one or more connections of the first connection and the active connections to the server is determined based on the request, the total capacity and the current capacities of the one or more active connections.

Abstract: A memory device is provided that includes at least one MTJ pillar which can have a ternary program state as compared to a binary program state in a conventional device. The MTJ pillar contains a lower MTJ structure that includes at least a first magnetic reference material, a first tunnel barrier and a first magnetic free layer material, and an upper MTJ structure that includes at least a second magnetic reference material, a second tunnel barrier and a second magnetic free layer material; the upper MTJ structure is stacked atop the lower MTJ structure. The first and second magnetic free layer materials have different designs and/or compositions resulting in different switching voltages.

Abstract: Functions of an application may include multiple implementations that have corresponding behaviors but perform different garbage collection-related activities such that the different implementations may be executed during different garbage collection phases to reduce overall garbage collection overhead during application execution.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate switching a model training process from a ground truth training phase to an adversarial training phase based on performance of a model trained in the ground truth training phase are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an analysis component that identifies a performance condition of a model trained in a model training process. The computer executable components can further comprise a trainer component that switches the model training process from a ground truth training process to an adversarial training process based on the identified performance condition.

Abstract: A computer-implemented method for generating and deploying a reinforced learning model to train a chatbot. The method includes selecting a plurality of conversations, wherein each conversation includes an agent and a user. The method includes identifying, in each of the conversations, a set of turns and on or more topics. The method further includes associating one or more topics to each turn of the set of turns. The method includes, generating a conversation flow for each conversation, wherein the conversation flow identifies a sequence of the topics. The method includes applying an outcome score to each conversation. The method includes creating a reinforced learning (RL) model, wherein the RL model includes a Markov is based on the conversation flow of each conversation and the outcome score of each conversation. The method includes deploying the RL model, wherein the deploying includes sending the RL model to a chatbot.

Abstract: A method and system. Application programming interface (API) call data is analyzed for a user to identify a relationship between API input data and API output data of two or more API calls. API usage information is generated by utilizing a dependency between the two or more API calls. The API usage information includes information pertaining to how data flows between the two or more API calls. API provision is improved with respect to execution of a process, based on utilization of the API usage information. Improving API provision includes: receiving a specification of an improvement to be achieved for the process, selecting at least two APIs from the two or more APIs for achieving the improvement, generating a new API that combines the at least two APIs, and modifying the process by including the new API in the process and removing the at least two APIs from the process.

Abstract: Provided is a method, computer program product, and system for leveraging spatial scanning data of an environment collected by a robotic vacuum to generate recommendations for improving environmental conditions. A robotic vacuum may collect cleanliness data relative to an environment. The robotic vacuum may store the cleanliness data over a plurality of cleaning cycles. The robotic vacuum may analyze the cleanliness data over the plurality of cleaning cycles to identify one or more cleanliness trends. The robotic vacuum may generate a recommendation for improving an environmental condition relative to the environment based on the identified one or more cleanliness trends. The robotic vacuum may provide the recommendation to a user.

Abstract: A computer-implemented method and system for autonomic cloud to edge compute allocations in a sports fantasy league trade transaction. The computer implemented method includes, in one embodiment, calculating, based on an expected return associated with each player on each of a plurality of teams in a fantasy sports league, a valuation for each player. An embodiment includes determining a positional need for each of the plurality of teams in the fantasy sports league, and determining, based on the valuation for each player and the positional need for each team, one or more players to include in a trade with another team of the plurality of teams.

Abstract: Provided are techniques for unified cognition for a virtual personal cognitive assistant. A personal cognitive agent creates an association with an entity and a personalized embodied cognition manager that includes an entity agent registry, wherein the personal cognitive agent comprises a virtual personal cognitive assistant. Selection of a first cognitive assistant agent from a first domain and a second cognitive assistant agent from a second domain are received. Input from the entity is received. A goal based on the input is identified. Unified cognition is provided by coordinating the first cognitive assistant agent of the first domain and the second cognitive assistant agent of the second domain to generate one or more actions to meet the goal. A response is provided to the input with an indication of the goal.

Abstract: An exemplary semiconductor fabrication stack includes underlying layers; an organic planarization layer atop the underlying layers; a metal oxide hardmask atop the organic planarization layer and doped with both carbon and nitrogen; and an organic photoresist directly atop the doped metal oxide hardmask. In one or more embodiments, the doped metal oxide hardmask exhibits a water contact angle of greater than 80°.

Abstract: Techniques for designing, creating, and utilizing a current biased tunable qubit are presented. A qubit device can comprise a first Josephson junction (JJ) located along a first current path of the device, and a second JJ and third JJ coupled in series along a second current path in parallel with the first current path, wherein the second and third JJs facilitate controlling frequency of the device. The first JJ can be larger in area than each of the second and third JJs, wherein a current splitting ratio between the first current path and second current path can be increased thereby. The device can comprise a capacitor with a first terminal associated with the second and third JJs, and a second terminal associated with ground. Alternatively, a high kinetic inductance wire can be used in the first current path, instead of the JJ.

Abstract: An improved electronic mixed mode multiplier and accumulate circuit for artificial intelligence and computing system applications that perform vector-vector, vector-matrix and other multiply-accumulate computations. The circuit is provided is a high resolution, high linearity, low area, low power multiply—accumulate (MAC) unit to interface with a memory device for storing computation output results. The MAC unit uses a less number of current carrying elements resulting in much lower integrated circuit area, and provides a tight matching between the current elements thus preserving inherent linearity requirements due to current mode operation. Further the MAC performs current scaling using switches and current division where the current switches occupy minimum size transistors requiring a small area to implement that renders it compatible with MRAM such as a magnetic tunnel junction device.

Abstract: A lidded chip package apparatus has reduced latent thermal stress in an under-chip high-CTE layer of the chip package because the lid of the package was adhered to a substrate of the package and cured during a same thermal excursion as when underfill was dispensed and cured under a chip of the package, and the chip package was cooled from the combined underfill and lidding process to room temperature with the lid adhered to the chip and the substrate, thereby reducing latent thermal stress in the under-chip high-CTE layer of the chip package.

Abstract: An example operation may include one or more of receiving, by a retailer node, an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network, computing, by the retailer node, an ordering proportion based on the encrypted inventory of goods data, generating, by the retailer node, an ordering policy based on the ordering proportion, and executing a smart contract to order goods from the plurality of the supplier nodes based on the ordering policy.