Abstract: Optimization of smart notifications within an organization can lead to increase productivity and reduction in missed deadlines and human work hours. An approach for to dynamic scheduling of smart notifications may be presented herein. The approach may include obtaining historical decision event data for an organization. Historical decision data may include details regarding the importance of the historical decision event to the organization, individuals within the organization associated with the decision event, and benchmarks of the historical decision event. The approach may include analyzing a future decision event based on a decision event model trained with the historical decision event data. The approach may include identifying one or more priority factors associated with the future decision event data based on the analysis of the decision event priority model. A smart notification may be scheduled for the decision event, based on the identified priority factors.

Abstract: A computer-implemented method for automatically and digitally securing an asset is disclosed. The computer-implemented method includes hashing a secret preimage to produce a secret hash. The computer-implemented method further includes locking a digital collateral asset with the secret hash for a first predetermined period of time. The computer-implemented method further includes locking a digital loan asset with the secret hash for a second predetermined period of time, wherein the second predetermined period of time is less than the first predetermined period of time. The computer-implemented method further pledging a digital loan repayment up to the amount of time of the first predetermined period of time plus the second predetermined period of time. The computer-implemented method further includes responsive to receiving a pledge for the digital loan repayment, automatically unlocking the digital collateral asset for a borrower of the digital loan asset.

Abstract: A semiconductor device is provided. The semiconductor device includes a memory including a bottom electrode, a magnetic tunnel junction (MTJ) stack on the bottom electrode, and an upper electrode on the MTJ stack. The semiconductor device also includes at least one dielectric layer formed around the memory, wherein a top metal layer contact hole is formed in the at least one dielectric layer, a dielectric liner layer formed in the top metal contact hole, and a top metal layer contact in the top metal layer contact hole.

Abstract: A system and method for compensating segmented DAC intrinsic INL by adjusting the relative strength of DAC thermometer segments. In the method, the strength of each thermometer segment is adjusted sequentially to reduce INL to 0 at one point on each thermometer code range. The strength of the binary section is also adjusted to further reduce INL while conserving output amplitude. The system includes a calibration circuit that senses the DAC differential output and compares it to an ideal output generated from the same DAC via dithering between 0 and a maximum code. The compensation scheme only performs a specific type of DAC compensation, specifically compensating for systematic non-linearity rather than for mismatch-induced non-linearity. The method can also be applied to calibrate a full thermometer DAC.

Abstract: An approach to real-time multi-agent visual question answering in a decentralized environment. The approach can include initializing a plurality of agents based on data associated with an image and a question about the image. The approach can include identifying a first portion of the plurality of agents to construct a grid of agents based on similarity between the first portion of agents. The approach can include determining a second portion of agents of the first portion of agents with edges between agents allowing sharing of agent concepts and agent parameters. The approach can include generate training trajectories of the grid of agents based on executing a collaborative rollout. Additionally, the approach can include optimizing agent policies of the grid of agents.

Abstract: A computer-implemented method, a computer program product for predictive device maintenance, and system for a plurality of Internet of Things (IoT) devices. One embodiment may comprise generating a risk score as a weighted measure of input data about an Internet of Things (IoT) device and a frequency of failure of the IoT device, determining an optimal time to trigger a predictive notification pertaining to the IoT device using the risk score, and at the determined optimal time, issuing the predictive notification. The risk score in some embodiments may indicate an estimate of loss of function of the IoT device.

Abstract: Computer-implemented methods for prioritization of data restoration based on recovery time objectives are provided. Aspects include receiving a request to store an object in a primary data volume, the object being associated with an application operating on a virtual server instance, appending an extended attribute to the object, and storing the object with the extended attribute appended in a primary storage device. Aspects also include periodically backing up the primary storage device to a cloud object storage device and transmitting a restore request to the cloud object storage device based on a determination that the primary storage device has become unresponsive. The restore request causes sequentially restoring a plurality of objects corresponding to primary data volume in an order based on the extended attribute appended to each of the plurality of objects.

Abstract: To improve actual labels that are produced by a black box computer classifier system from inputs, identify, using an environment-aware predictor and an environment-agnostic predictor, a subset of the inputs. The subset of the inputs has a stable correlation with the actual labels across a plurality of environments. Identify the subset of the inputs as an explanatory rationale for the actual labels. Display the explanatory rationale with the actual labels to a consumer of the actual labels. Optionally, in response to the explanatory rationale failing a rubric established by the consumer, generate revised inputs by removing the explanatory rationale from the inputs; and produce revised labels by processing the revised inputs with the environment-agnostic predictor.

Abstract: An embodiment computes a plurality of similarity scores, each similarity score in the plurality of similarity scores measuring a similarity of task data of a first data transformation task to data of a stored data transformation in a plurality of stored data transformations, wherein each of the plurality of stored data transformations comprises a stored data transformation program, each stored data transformation program comprising a data transformation from a first data format to a second data format. An embodiment generates, from a first stored data transformation program in the plurality of stored data transformations, a generated data transformation program. An embodiment performs, by modifying a plurality of records described by the first data transformation task into a second plurality of records according to the generated data transformation program, the first data transformation task.

Abstract: A machine learning model can be trained to predict one or more financial indicators using earnings call transcripts augmented with counterfactual information. Using faithful gradient-based method, prediction results with respect to a particular counterfactual information can be explained. Based on the explanation, the counterfactual information determined to have most impact on prediction results can be selected for updating the machine learning model.

Abstract: The present inventive concept provided for a method for identifying a natural solution to solve a problem. The method includes identifying the problem in environmental multimedia of an environment; identifying the natural solution to the identified problem and required capabilities thereof based on a mapping; and generating a machine-based solution based on the natural solution.

Abstract: Embodiments of present invention provide a semiconductor structure. The semiconductor structure includes a dynamic random-access-memory (DRAM), and the DRAM includes a vertical transistor and a nanosheet transistor, the vertical transistor being stacked on top of the nanosheet transistor, where a bottom source/drain of the vertical transistor is directly above and connected to a gate of the nanosheet transistor through a conductive via. A method of manufacturing the semiconductor structure is also provided.

Abstract: A semiconductor device structure includes a metallization stack comprising one or more patterned metal layers. A bi-layer dielectric cap is disposed on and in contact with the metallization stack. At least one memory device is disposed on the bi-layer dielectric cap. A method for forming the metallization stack includes receiving a structure comprising a metallization layer and a first dielectric cap layer formed over the metallization layer. The metallization layer includes a logic area and a memory area. At least one memory stack is formed over the first dielectric cap layer. A self-assembled monolayer is formed over and in contact with the memory stack. A second dielectric cap layer is formed on and in contact with the first dielectric cap layer. The second dielectric cap layer is not formed on the self-assembled monolayer.

Abstract: An electrical memristive device has a layer structure. The layer structure comprises two electrodes and a bilayer material arrangement that connects the two electrodes. The bilayer material arrangement may, for example, be sandwiched by the two electrodes, in direct contact therewith. The bilayer material arrangement includes an HfOy layer, where 1.3±0.1?y<1.9±0.1, as well as a WOx layer in direct contact with the HfOy layer, where 2.5±0.1?x<2.9±0.1. The bilayer arrangement involves sub-stoichiometric layers of HfOy and WOx, where the WOx layer may advantageously have a polycrystalline structure in the monoclinic phase, while the HfOy layer is preferably amorphous.

Abstract: A method can include determining metadata for a file responsive to initiating an operation on the file stored within a client system and determining a storage location within a file repository of a master version of the file from the metadata. The method also can include determining, from the storage location, whether the master version of the file is more recent than the file stored within the client system using a processor of the client system.

Abstract: Embodiments of the invention are directed to a computer system comprising a memory communicatively coupled to a processor system. The processor system is operable to perform processor system operations that include accessing query information associated with a to-be-augmented information set (TBAIS) having a TBAIS format. Query information sequence vectors (QISV) are generated that represent the query information and the TBAIS. Unannotated data repository information sequence vectors (UDRSV) are accessed that represent unannotated data repository information having a plurality of information formats. Matching UDRSV are identified, where the matching UDRSV include the UDRSV that match the QISV. A response to the query information is generated based at least in part on the matching UDRSV.

Abstract: A method, a computer program product, and a system for scheduling a first query execution plan for executing a first query for accessing first data sets of data of a relational database system (RDBS) and a second query execution plan for executing a second query for accessing second data sets of the data. The data is divided into data blocks of data sets of the data, wherein metadata of the RDBS comprises respective information about at least one property of the data sets of a respective data block of the data blocks. The scheduling may be performed on the basis of an examination if there is a common partition between a first partition of data blocks which may fulfill a first condition according to the first query and a second partition of data blocks which may fulfill a second condition according to the second query.

Abstract: Computer implemented methods, systems, and computer program products include program code executing on a processor(s) obtains a given query referencing a LOB. The program code obtains statistics and activities performed in the database system, establishes performance benchmarks, and analyzes the given query to determine how the LOB is utilized. The program code determines that meeting a benchmark requires replacing a reference to the LOB with a reference to implicit column(s). The program code executes the given query by referencing the implicit column(s) to obtain query results. The program code returns the query results.

Abstract: A computer implemented method includes identifying a query view of a target database system enabling access to a first source table stored in a first target table, executing a load program for a current version of a first source partition of the first source table, wherein executing the load program includes loading the first source partition in a second load target partition of the first target table, changing the query view to select records of the first target table, executing an update program for assigning records of the first replication target partition to the first load target partition, selecting a mode of operation for a replication program based on determining whether the execution of the update program is finished, executing the replication program in accordance with the selected mode of operation, and changing the query view to further select the records of the first replication target partition.

Abstract: A computer-implemented method, system and computer program product for identifying ancestor objects in hierarchical data configured for processing with a query, the query having an associated abstract syntax tree. The abstract syntax tree may be processed so as to generate an augmented abstract syntax tree which includes parent identifiers configured to identify the parent nodes of the query. In this way, a need to pre-parse the data may be alleviated. Instead, the identification of a parent node of a query may be encoded into the abstract syntax tree of the query.