Abstract: A system and method of securely controlling a device from another device. The user of the device attempts to modify the device in some way. In response to the attempted modification a request is generated and sent to a controlling device. The request includes information related to the desired modification. The controlling device analyzes the request and a determination on how to respond to the request is made. This response is encrypted at the controlling device and transmitted to the device. The device then decrypts the response and implements the indicated response to the request. The encryption and decryption keys are burned into the corresponding devices such that information needed to decrypt the response is not transmitted to the device.

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 device includes a logic circuit comprising a clockless single flux quantum logic gate which comprises a plurality of input ports, an output port, an output Josephson junction, and a plurality of dynamic storage loop circuits and isolation buffer circuits. The output Josephson junction is coupled to an output of each dynamic storage loop circuit and configured to drive the output port. Each isolation buffer circuit is coupled to a respective input port, and a respective dynamic storage loop circuit and configured to absorb a circulating current of an antifluxon which is injected into the respective dynamic storage loop circuit to prevent the antifluxon from being output from the respective input port, and to inject a fluxon into the respective dynamic storage loop circuit in response to a single flux quantum pulse applied to the respective input port, and annihilate an antifluxon present in the respective dynamic storage loop circuit.

Abstract: A method for adjusting a resonance frequency of a qubit in a quantum mechanical device includes providing a substrate having a frontside and a backside, the frontside having at least one qubit formed thereon, the at least one qubit comprising capacitor pads; and removing substrate material from the backside of the substrate at an area opposite the at least one qubit to alter a capacitance around the at least one qubit so as to adjust a resonance frequency of the at least one qubit.

Abstract: A computer-implemented method, including receiving, by a processor set, a query including a query string for a system catalog; identifying, by the processor set, a default index structure of the system catalog; executing, by the processor set, the query based on the default index structure of each index in the system catalog; ranking, by the processor set, a performance of each execution of the query by each index; mapping, by the processor set, a query pattern to a corresponding index of the system catalog; selecting, by the processor set, the index to perform the query using a machine learning (ML) model trained with a knowledge base that includes the ranking and the mapping; executing, by the processor set, the query on the selected index; and in response to executing the query on the selected index, returning, by the processor set, a result of the query.

Abstract: Aspects of the invention include generating a plurality of predictions that each define a plurality of future inputs for a model. A deviation curve is generated by determining a distance between each prediction of the plurality of predictions and a respective known data point of a plurality of known data points. One or more points in the deviation curve are sampled and the sampled points are compared to a low threshold and a high threshold. A judgement is determined for each prediction to determine whether the respective prediction will be accepted or denied as an input to the model. The future inputs for the model are modified based on the judgments.

Abstract: A processor may receive transportation data associated with one or more vehicles and one or more routes having one or more roads. The processor may analyze the transportation data for one or more vehicle capabilities associated with the one or more vehicles and one or more road capabilities associated with the one or more roads of the one or more routes. The processor may generate one or more simulations associated with the one or more roads and the one or more vehicles. The processor may identify an optimal vehicle from the one or more vehicles and an optimal route from the one or more routes. Identifying the optimal vehicle and the optimal route may be based, at least in part, on the one or more simulations. The processor may assign the optimal vehicle to the optimal route.

Abstract: The present inventive concept provides for a method of harnessing artesian aquifer power. The method includes obtaining weather data and artesian aquifer data for a geolocation. Weather features and artesian aquifer features are extracted from the obtained weather data and artesian aquifer data, respectively. Compression and decompression events are predicted for water in an artesian well at the geolocation by mapping the weather features and the artesian aquifer features. A plurality of piezoelectric springs connected to the artesian well are modulated to maximize artesian aquifer energy harnessed based on the predicted compression and decompression events.

Abstract: A computer-implemented method includes: receiving, by a computer device and from a user device, a draft social media message; determining, by the computer device and based on the receiving, data of an Internet of Things (IoT) device that is related to the draft social media message; generating, by the computer device and based on the determining, a suggested social media message that includes the data of the IoT device; and transmitting, by the computer device, the suggested social media message to the user device.

Abstract: A recommender system and method to facilitate non-biasing search queries, social media feeds, and other platforms in which a user searches, scrolls, and engages with information and ideas so that a user can explore ideas outside of, or even contrary to, the ones with which they are aligned. Through a computer-implemented “curiosity halo” recommendation engine and method, users are made aware of the existence of other notions centered around or connected to a topic. The users could also engage to be directed to adjacent notions and “lines of flight” around the topic, thereby broadening their perspective and strengthening their ability to think “outside the box”—or bubble. By adjusting a threshold based on curiosity level and tolerance for divergent thinking, the boundaries of the curiosity halo are continually redrawn in real time so that users can dynamically uncover topics and ideas outside of their day-to-day experience.

Abstract: Classifier accuracy is increased in machine learning applications by training a machine learning (ML) model including a classifier across classes by determining weighted input points for a contributing set to store the values for true positive and true negative predications. In a following step, input data is provided to the classifier of the machine learning model at runtime, and a classification output is determined from the classifier. For the classification output, values for input during runtime are compared with a sample of inputs stored for training the machine learning model to determine the distance in spread for the classification output. A class is determined from the classification output having a smallest distance and spread. The method can further determine if the class with the smallest distance and spread is a true positive or true negative by comparing the class with the smallest distance and spread with the classification output.

Abstract: A method, computer system, and a computer program product for automatically generated question suggestions is provided. The present invention may include generating an intent-entity sequence representative of a current chat conversation with a user. The present invention may also include predicting, using a trained intent-entity prediction model, a next intent-entity sequence based on the generated intent-entity sequence representative of the current chat conversation. The present invention may further include converting the predicted next intent-entity sequence into at least one likely question suggestion to return back to the user.

Abstract: Techniques regarding post polymerization modifications to polycarbonate polymers via a flow reactor are provided. For example, one or more embodiments described herein can comprise a cyclic carbonate monomer that can be employed to facilitate polymerization of one or more polycarbonate platforms susceptible to post polymerization modification. For instance, one or more embodiments can regard a cyclic carbonate molecular backbone covalently bonded to an aryl halide functional group via in accordance with a chemical structure selected from the group consisting of: In the chemical structures, “R1” can be selected from the group consisting of a hydrogen atom and a functional group comprising a first alkyl group; “L” can represent a linkage group, comprising: a second alkyl group and an end group having at least one member selected from the group consisting of an oxygen atom and a nitrogen atom; and “A” can represent the aryl halide functional group.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to generating a security threat prediction. 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 a prediction component that analyzes a public data graph model to generate a primary security threat determination, wherein the prediction component can further generate a secondary security threat prediction based on the primary security threat determination and on a proprietary data graph model, wherein the proprietary data graph model comprises proprietary security threat data from a source, and wherein the proprietary security threat data has been scrubbed of source-identifiers.

Abstract: A method for dynamically rearranging one or more packages for delivery on a delivery vehicle in response to unforeseen changes in a pre-planned delivery route. The method detects, via one or more sensor-enabled shelves in a delivery vehicle, an address and package details of a respective delivery package. The method further integrates the one or more sensor-enabled shelves with a route map that depicts the pre-planned delivery route. The method further assigns new values to the one or more sensor-enabled shelves, in response to a change in the pre-planned delivery route, indicating a new sequence of delivery for each respective delivery package. The method further notifies a delivery person which delivery package is to be delivered at a current stop by illuminating the one or more sensor-enabled shelves containing the respective delivery package.

Abstract: Automatically generating and implementing access policies is provided. An output of a needed user access context to access a resource is obtained from a trained machine learning model based on an extracted attribute of the resource input into the trained machine learning model. The access to the resource by a user is controlled using the output of the needed user access context to access the resource as an access policy for the resource.

Abstract: Managing data element caching is provided. Non-functional requirements of a system running an application are mapped to resource utilization and system performance metric values corresponding to each of a plurality of caching parameters for each of data elements corresponding to the application suitable for caching. A caching decision is generated for each of the data elements corresponding to the application suitable for caching by identifying certain ones of the data elements for the caching to improve at least one of performance and throughput of the system based on the mapping. A data element caching decision recommendation is generated for the application based on the caching decision. The data element caching decision recommendation corresponding to the application is output to a client device of a customer via a network.

Abstract: An improved computing tool performs an improved computing tool function to identify sensitive data risks in cloud-based deployments. A knowledge graph is built based on data schema information for a cloud-based computing environment, a set of parsed infrastructure logs, and a set of captured application queries. A set of sensitive flows in the knowledge graph are identified representing paths from a sensitive data element to an endpoint in the knowledge graph. The set of sensitive flows are scored based on a scoring algorithm and an alert is issued to an administrator in response to a score of a sensitive flow within the set of sensitive flows exceeding a threshold.

Abstract: Embodiments of the invention include a computer-implemented method for allocating computing resources. The computer-implemented method includes generating, using a processor, tracing data that results from data traffic processed through multiple data paths by the processor. The processor is used to analyze the tracing data to identify a predicted bottleneck path among the multiple data paths, wherein the predicted bottleneck path include a data path on which a data bottleneck is predicted to occur. The computer resources are allocated to the predicted bottleneck path before the predicted data bottleneck occurs.

Abstract: A computer-implemented method for counterfactual conversation simulation is disclosed. The computer-implemented method includes generating a system output based, at least in part, on a user input. The computer-implemented method further includes determining that a system output/user input pair is not satisfactory based, at least in part, on a system output/user input score being below a predetermined threshold. The computer-implemented method further includes generating, in response to determining the system output/user input pair is not satisfactory, a counterfactual simulation of the user input based, at least in part, on a target intent of the user input.

Abstract: A method for managing a plurality of computing machines includes accessing a catalogue memory structure storing a plurality of component signatures, discovering one or more of the software components being instantiated in a software image of each computing machine according to corresponding ones of the component signatures, detecting one or more connections each being established between at least two instantiated software components of different computing machines, receiving a restore command for restoring a target recovery point selected among a plurality of recovery points, and restoring the target recovery point in response to the restore command by restoring the snapshots associated with the target recovery point on corresponding computing machines.

Abstract: Methods, systems, and computer program products for detecting contextual bias in text are provided herein. A computer-implemented method includes identifying, by a machine learning network, a protected attribute in one or more data samples; processing the identified data samples using a first sub-network of the machine learning network, wherein the first sub-network is configured to determine a plurality of contexts of the protected attribute across the identified data samples; determining an impact of each of the plurality of contexts on a second sub-network of the machine learning network, wherein the second sub-network of the machine learning network is configured to classify a given data sample into one of a plurality of classes; and adjusting the second sub-network of the machine learning to account for the impact of at least one of the plurality of contexts on the second sub-network.

Abstract: An example operation may include one or more of generating, by a blockchain node, an asset containment world-state by execution of a linear-time ingestion algorithm, detecting, by the blockchain node, an asset aggregation or disaggregation event, updating, by the blockchain node, the world-state based on the asset aggregation or disaggregation event, and computing supply-chain metrics based on the updated world-state.

Abstract: Secure data analytics is provided via a process that identifies sensitive data fields of an initial dataset and mappings between the sensitive data fields and other data fields of the dataset, where analytics processing is to be performed on the initial dataset, then, based on an expectation of data fields, of the initial data set, to be used in performance of the analytics processing and on the identified sensitive data fields, selects and applies a masking method to the initial dataset to mask the sensitive data fields and produce a masked dataset, provides the masked dataset to an analytics provider with a request for the analytics processing, and receives, in response, a generated analytics function, generated based on the masked dataset, that is configured to perform the analytics processing, and invokes the generated analytics function against the initial dataset to perform the analytics processing on the initial dataset.

Abstract: A system, method, and computer program product for implementing dynamic virtual network access is provided. The method includes monitoring hardware devices associated with network locations comprising data and software code. In response, updates applied to the data and software code are detected and a context of the updates is determined. Based on the context, it is determined that that the updates applied to the data and software code should be cloned and associated user access is verified. A target component location associated with the updates applied to the data and software code to be cloned is determined and the updates applied to the data and software code with respect to the target component location are cloned. A notification indicating the cloning is transmitted to users.

Abstract: An example system includes a processor to receive mouse event data of a session. The processor is to split the mouse event data of the session into mouse event n-grams. The processor is to extract features from the mouse event n-grams. The processor is to send the extracted features to a trained machine learning model. The processor is to receive an output decision from the trained machine learning model.

Abstract: Provided is a method for method for encrypting log file data in a multitenant database. The method comprises receiving a request to secure data of a tenant in a multitenant database. The method further comprises obtaining a symmetric encryption key that is specific to the tenant. The method further comprises encrypting data of the tenant using the symmetric encryption key. The data that is encrypted is stored in the multitenant database. The method further comprises encrypting a set of log file entries using the symmetric encryption key. The set of log file entries are associated with data of the tenant.

Abstract: VM file management includes detecting a user request to access to a virtual machine (VM) and searching a pre-defined list to determine whether the user requesting access is identified on the list. If so, a file-level snapshot is generated prior to enabling modification of a VM file by the user. The file-level snapshot includes a user attribute and is added as the top layer of a stack. The user attribute indicates a role of the user for whom the file-level snapshot is created. Each layer of the stack contains one or more other file-level snapshots. The VM file is written in the file's entirety to the snapshot in response to the user modifying the VM file. Based on the user attribute of each snapshot, a set of snapshots is selected from the stack, and the VM is modified by merging the VM files belonging to the set of snapshots selected.

Abstract: A computer-implemented method, according to one approach, includes: detecting new data generated at a first edge node, and causing a first copy of the new data to be transferred to a central data storage location in real-time. A second copy of the new data is also stored in a first location at the first edge node. In response to a predetermined condition being met, a determination is made as to whether any information in the first copy of the new data transferred is missing at the central data storage location. The first copy of the new data is removed from the first location at the first edge node in response to determining that no information in the first copy of the new data transferred is missing at the central data storage location.

Abstract: Methods for setting a resistance include applying a voltage across a memristive device, that exceeds a threshold based on a difference in chemical potential between a first material and a second material, to change a resistance of the memristive device. The memristive device includes a barrier layer of the second material that is formed between two metastable layers of the first material.

Abstract: Method and apparatus for optimized data partition selection for related queries. A query to be executed over a plurality of data records is received. The plurality of data records comprises a first set of data records stored in a first database distributed across a plurality of partitions and a second set of data records stored in a second database. An input vector is generated based on the query, the first and second databases. The input vector is processed using a machine learning (ML) model to predict a cost for executing the query if one or more data records in the second set of data records are loaded to a first partition of the first database. A plan is selected for loading the one or more data records from the second set of data records to the first partition based on the predicted cost for executing the query.

Abstract: Systems and techniques that facilitate Stark shift cancellation are provided. In various embodiments, a system can comprise a control qubit that is coupled to a target qubit. In various cases, the control qubit can be driven by a first tone that entangles the control qubit with the target qubit. In various aspects, the control qubit can be further driven by a second tone simultaneously with the first tone. In various cases, the second tone can have an opposite detuning sign than the first tone. In various instances, the first tone can cause a Stark shift in an operational frequency of the control qubit, and the second tone can cancel the Stark shift.

Abstract: An example system includes a processor to receive an instance of a composite format comprising a masking restriction. The processor can generate a mask for the instance of the composite format based on the masking restriction. The processor can output the generated mask.

Abstract: A method comprises receiving an input signal for processing in one or more neurons of a neural network, wherein the neural network has zero bias neurons and includes a plurality of resistive processing unit (RPU) weights and each neuron has an activation function. The method also includes applying an arbitrary amplification factor to activation function outputs of the one or more neurons in the neural network, wherein the arbitrary amplification factor is based on a dynamic range of components in the neural network and compensates for conductance drift in values of the RPU weights. The method also includes performing a calculation with the neural network using the amplified activation function outputs of the one or more neurons.

Abstract: A method for forecasting server demand includes collecting a historical number of scoring requests from a network using a serverless architecture. A scoring request capacity per server is determined using the historical number of scoring requests. A prediction model predicts a first future value of scoring requests for a first future time span. A current number of servers in a pool of servers handling the scoring requests. Using the prediction model, a determination of whether the current number of servers is capable of handling the first future value of scoring requests for the first future time span is made. Upon determining that the current number of servers is incapable of handling the first future value of scoring requests, one or more additional servers are warmed up. The warmed-up additional servers are added to the pool of servers prior to an arrival of the first future time span.

Abstract: Computer technology for use with a computer data storage system including a plurality of client computers and a plurality of collector nodes. A file consists of data blocks with each block resides on one of the persistent storage device. Data received at client computers are buffered and then transferred to selected collector nodes depending on which data blocks the data belong to. Location-aware collector node selection is performed by selecting collector nodes, from the plurality of collector nodes, by querying a file system allocation subsystem to determine selected collector nodes for the given data block that owns a persistent storage device on which the given block is allocated. Data for each data block is then sent to and stored in its selected collector nodes.

Abstract: An embodiment for dynamically arranging vehicles on a smart crossing is provided. The embodiment may include receiving data relating to a maximum carrying capacity of a smart crossing having one or more sensors. The embodiment may also include predicting a current load carrying capacity of the smart crossing. The embodiment may further include identifying a number of vehicles traveling towards the smart crossing within a pre-defined distance of the smart crossing. The embodiment may also include identifying one or more specifications and a current arrangement of each vehicle. The embodiment may further include executing a digital twin simulation of a digital twin model of each vehicle driving across the smart crossing. The embodiment may also include in response to determining the current load carrying capacity is exceeded, assigning a priority level to each vehicle. The embodiment may further include predicting a modification of the current arrangement of each vehicle.

Abstract: A nanosheet device includes a bottom dielectric isolation formed by a first portion of a high-k dielectric layer above a semiconductor substrate, a spacer material above the first portion of the high-k dielectric layer and a second portion of the high-k dielectric layer above the spacer material. A sequence of semiconductor channel layers are stacked perpendicularly to the semiconductor substrate above the bottom dielectric isolation and are separated by and vertically aligned with a metal gate stack. Source/drain regions extend laterally from opposite ends of the semiconductor channel layers with a bottom surface of the source/drain regions being in direct contact with the bottom dielectric isolation for electrically isolating the source/drain regions from the semiconductor substrate.

Abstract: A system for generating of posts, the system including: a server; and a network connection for the server; the server to: maintain a database of users and corresponding user behavior when generating a post on a specific topic; match a first user generating a current post and a topic of the current post to user behavior in the database; based on the matching user behavior from the database, identify different versions during development of the current post; and dictate distribution of different versions of the post based on the matching user behavior from the database.

Abstract: A set of transistor elements includes a substrate of a first doping type and a first well and a second well, both of a second doping type and both formed on the substrate. The set of transistor elements also includes a first complementary transistor cell and a second complementary transistor cell. The set of transistor element also includes an anti-propagation region of the first doping type between the first well and the second well.

Abstract: An approach for reducing unwanted magnetic coupling with conductive elements by keeping the localized magnetic field in a transformer's or inductors magnetic gap far away from any conductive elements is provided. The approach includes the use of spacers to keep the localized magnetic field in a transformer's or inductor's magnetic gap far away from any conductive elements to reduce unwanted magnetic coupling with those conductive elements. The spacers can be made from materials including ferrite, conductors and non-conducting elements.

Abstract: An embodiment selects, from a set of candidate locations within a power generation site, a first power generation location. An embodiment causes generation of electricity, by a first power generation unit, at the first power generation location. An embodiment forecasts, during the generation of electricity, a future power generation status of the first power generation unit at the first power generation location. An embodiment causes relocating, responsive to the future power generation status, of the first power generation unit to a second power generation location, the relocating altering the future power generation status.

Abstract: A method for intelligently distributing messages across multiple devices and associated chat applications is disclosed. In one embodiment, such a method includes registering multiple devices and associated chat applications to receive intelligent distribution of messages. The method monitors, using an agent, a message copied from a first device of the multiple devices to a clipboard. The method automatically analyzes content of the message to determine which other devices and associated chat applications of the plurality are eligible to receive the message. The message is then distributed to other devices and associated chat applications that are deemed eligible to receive the message. In certain embodiments, the message originates from a first chat application of a first type and the message is distributed to a second chat application of a second type that is different from the first type. A corresponding system and computer program product are also disclosed.

Abstract: The illustrative embodiments provide for supervision and reaction-aware adaptive intervention in an area. An embodiment includes detecting a behavior of a non-compliant entity over a threshold in a supervised area using one or more sensors. The threshold is determined by processing an input of the sensor using a first processing algorithm. The embodiment includes deploying a response into the supervised area. The response is based on input from the sensor. The embodiment includes identifying, using a second processing algorithm, a reaction of the non-compliant entity to the initial response. The embodiment includes determining fulfilment of a target state of the non-compliant entity using a third algorithm. The target state may include a change in behavior of the non-compliant entity. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the embodiment.

Abstract: A method for improving the accuracy of speech recognition is disclosed. In one embodiment, such a method receives speech input from a user. The method further receives background inputs describing at least one of a webpage and an application from which the speech input was received. The method determines a language associated with the speech input and determines a weight and confidence level for each of the background inputs. A score is calculated for each of the background inputs based on the corresponding weight and confidence level. The method determines textual candidates for output in response to the speech input and ranks the textual candidates using a function that takes into account the scores and/or confidence levels of the background inputs. The textual candidate with the highest ranking may be returned to the user. A corresponding system and computer program product are also disclosed.

Abstract: Computer-implemented peer-engagement through graphical definition of contact-generating events in a virtualized metaverse includes visually presenting to a user, on an interactive interface, a multi-dimensional scene of a virtual environment. The user provides input to graphically define one or more contact-generating events within the multi-dimensional scene, which events are detected as being triggered by one or more virtualized avatars in the multi-dimensional scene. According to the triggering of the events and other predefined contact-engaging criteria, a contact-initiating prompt may be transmitted to a peer user associated with the one or more virtualized avatars in the multi-dimensional scene.

Abstract: An embodiment establishes a potential energy source database based at least in part on sensor data received from a satellite, wherein the potential energy source database comprises coordinate data representative of a plurality of potential energy source locations. The embodiment instructs a robot to travel to a potential energy source location of the plurality of potential energy source locations. The embodiment scans the potential energy source location for a potential energy source. The embodiment detects the potential energy source in the potential energy source location. The embodiment evaluates whether the potential energy source meets a predetermined suitability criteria. The embodiment classifies the potential energy source as a suitable energy source. The embodiment instructs the robot to insert a pair of electrodes into the suitable energy source to generate an electrical current to charge a battery of the robot.

Abstract: A structure and method for carbon capture, e.g., in flue gas. An oxygen-terminated crown pore in graphene can be provided. Exposed carbon atoms on the pore edge can be bonded with oxygen to make a crown pore. When the CO2 is inside the pore, the electrostatic interaction becomes attractive because the positively charged carbon atom in CO2 is now exposed to negatively charged oxygen atoms on the crown pore edge. A favorable interaction between CO2 and the crown pore can be expected.

Abstract: A method for forming a pumped laser structure includes forming a III-V buffer layer on a substrate including one of Si or Ge; forming a light emitting diode (LED) on the buffer layer configured to produce a threshold pump power; forming a photonic crystal layer on the LED and depositing a monolayer semiconductor nanocavity laser on the photonic crystal layer for receiving light through the photonic crystal layer from the LED with an optical pump power greater than the threshold pump power, wherein the LED and the laser are formed monolithically and the LED functions as an optical pump for the laser.