Abstract: The present disclosure provides a system (110) for retrofitting words represented using the vectors for Natural Language Processing (NLP) models and a streamlined process which is an ideal pipeline for any NLP tasks. The system (110) may discover the user meta data or k-nuggets in five stages for retrofitting and stacking the retrofitted embeddings. Further, the system (110) may use the retrofitted embeddings for NLP Tasks. The five stages of the k-nugget discovery pipeline are Lexical, Syntactic, Semantic, transactional, and language agnostic stages for retrofitting the word embeddings. The proposed embedding layer is replaced with the retrofitted embedding which may be obtained after the fifth stage and improved performance can be achieved. To validate the approach, the K-nugget discovery pipeline has been tested on the SemEval (Hinglish and English Tweet dataset) and HOT dataset (Hinglish Tweet dataset) and to achieve state of the art results on the test dataset.

Abstract: The present invention provides a robust and effective solution for a novel pipeline to fine-tune the embedding with very less data and computational resources for making the embeddings semantically and contextually aware. Automated system and method for hyper parameter tuning and retrofitting formulation of information into the embeddings and then propose novel smooth extension to the formulation with a new way to automatically tune hyper parameters pipeline which can be used for wide business problems.

Abstract: Techniques for deploying a server stack having a cross-server dependency are disclosed. A deployment engine initiates a deployment process for a server stack. The deployment engine provisions servers of one server type (“requisite servers”). The deployment engine attempts to provision servers of another server type (“dependent servers”). The deployment engine executes a test that requires the dependent servers to invoke a service executed by the requisite servers. Based on the test results, the deployment engine determines that an operational requirement of the dependent servers is not satisfied. The deployment engine modifies a configuration for the requisite servers to satisfy the operational requirement of the dependent servers. The deployment engine re-provisions the requisite servers using the modified configuration. The deployment engine completes the deployment process for the server stack.

Abstract: The disclosed apparatus may include support portions, a frame (such as a base) configured to maintain the support portions in a spaced-apart configuration, a sample holder configured to receive a sample, and a probe assembly including micromanipulators configured to position one or more probes in contact with the sample. The sample holder may rotate between the support portions, and the probe assembly may rotate with the sample holder so that the one or more probes may maintain contact with a sample in the sample holder as the sample holder is rotated, for example, to expose a portion of the sample for processing. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Conventional tele-presence robots have their own limitations with respect to task execution, information processing and management. Embodiments of the present disclosure provide a tele-presence robot (TPR) that communicates with a master device associated with a user via an edge device for task execution wherein control command from the master device is parsed for determining instructions set and task type for execution. Based on this determination, the TPR queries for information across storage devices until a response is obtained enough to execute task. The task upon execution is validated with the master device and user. Knowledge acquired, during querying, task execution and validation of the executed task, is dynamically partitioned by the TPR across storage devices namely, on-board memory of the tele-present robot, an edge device, a cloud and a web interface respectively depending upon the task type, operating environment of the tele-presence robot, and other performance affecting parameters.

Abstract: An N modular redundancy method, system, and computer program product include a computer-implemented N modular redundancy method for neural networks, the method including selectively replicating the neural network by employing one of checker neural networks and selective N modular redundancy (N-MR) applied only to critical computations.

Abstract: The present disclosure provides for a system for facilitating a completely automated process that may directly fetch an imagery of a given location and area from any mapping module and extract a plurality of objects in the given imagery. Further, a deep learning-based object segmentation such as but not limited to a cascaded reverse mask RCNN framework method may generate a set of predefined vectors associated with the image. The system may be configured to automate the generation of the predefined vectors based on the image received from the image sensing assembly.

Abstract: The present invention relates to a stable composition comprising super absorbent polymer and a bioactive agent. The present invention also relates to a method of coating seeds with said compositions and method of controlling weeds with said compositions.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate management of resources are provided. In one embodiment, a computer-implemented method comprises: employing, by a system operatively coupled to a processor, at least one model to predict respective token needs by a set of processing elements during execution of a workload; and exchanging, by the system, one or more tokens between a subset of the processing elements as a function of the predicted token needs.

Abstract: Methods and apparatus to reduce noise and vibration in a hybrid hydraulic power steering system are disclosed. A method includes receiving sensor data from sensors of a vehicle and mapping the sensor data to filter coefficients. The method further includes generating a torque demand based on an input of the filter coefficients into a polynomial filter and tuning at least one of a torque assistance or a steering damping of an assisted steering system of the vehicle based on the torque demand.

Abstract: The disclosed system may include a slicing component that has a cutting blade. The cutting blade may be configured to cut a semiconductor wafer into multiple wafer strips, where the wafer strips have flat top surfaces and multiple edges. The system may also include a chuck that has rotatable wafer plate strips that are respectively configured to support the wafer strips. The system may further include a pivot arm that rotates the chuck from a cutting position facing the slicing component to a rotated, polishing position that faces a polishing component. As such, an exposed edge of each wafer strip faces the polishing component. The system may also include a polishing component that is configured to polish at least a portion of the exposed edge of each wafer strip that is facing the polishing component. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Systems are provided for compressing portfolios of open option positions. Market participants may provide constraints, such as net delta and gamma values within a specific tolerance. A compression engine uses a linear, integer and/or linear-quadratic programming solver to analyze portfolios of multiple market participants and identify multilateral option spread trades that result in portfolios that are compressed subject to the constraints.

Abstract: Techniques facilitating voltage management via on-chip sensors are provided. In one example, a computer-implemented method can comprise measuring, by a first processor core, power supply information. The computer-implemented method can also comprise measuring, by the first processor core, a value of an electrical current generated by the first processor core. Further, the computer-implemented method can comprise applying, by the first processor core, a mitigation technique at the first processor core in response to a determination that a combination of the power supply noise information and the value of the electrical current indicates a presence of a voltage noise at the first processor core.

Abstract: Disclosed are compounds of the general formula (I), its tautomeric form, its stereoisomer, its pharmaceutically acceptable salt, its polymorph, or solvate thereof, Formula (I) wherein, ring A, R1 to R5, X, Y, m, and n are as defined herein, for use as SOS1 inhibitors in the treatment of proliferative, infectious and RASopathy diseases or disorders. Also disclosed are methods of synthesizing the compound of formula I, pharmaceutical compositions containing the compound of formula I, method of treatment of proliferative, infectious and RASopathy diseases or disorder, for example, a cancer, by administering the said compound and combinations of the compound of formula I with other active ingredients.

Abstract: Tasks of directed acyclic graphs (DAGs) may be dynamically scheduled based on a plurality of constraints and conditions, task prioritization policies, task execution estimates, and configurations of a heterogenous system. A machine learning component may be initialized to dynamically schedule the tasks of the DAGs.

Abstract: An example method of managing storage for a containerized application executing in a virtualized computing system having a cluster of hosts and a virtualization layer executing thereon, is described. The method includes receiving, at a supervisor container orchestrator, a request for a first persistent volume lifecycle operation from a guest container orchestrator, the supervisor container orchestrator being part of an orchestration control plane integrated with the virtualization layer and configured to manage a guest cluster and virtual machines (VMs), supported by the virtualization layer, in which the guest cluster executes, the guest container orchestrator being part of the guest cluster; and sending, in response to the first persistent volume lifecycle operation, a request for a second persistent volume lifecycle operation from the supervisor container orchestrator to a storage provider of the virtualized computing system to cause the storage provider to perform an operation on a storage volume.

Abstract: A glycidyl amine epoxy resin(s) and a process for production of glycidyl amine epoxy resin(s) are disclosed. The glycidyl amine epoxy resin(s) is/are free from Bisphenol A (BPA) and Bisphenol F (BPF) and are based on AMES negative amine precursors.

Abstract: Threads and kernels across multiple server instances may maintain static connections to a database during operation. To apply a patch or other upgrade to the database, a notification may be sent to the database system that causes the database system to redirect new incoming connection requests for the database to a backup database. A second notification may also be sent to each of the server instances where threads maintain active connections to the database. These threads may be allowed to finish executing a current job, then when entering the idle state these threads may be directed to refresh their connections. This refresh operation may be redirected to the backup database. The patch may be applied after all connections have been switched to the backup database. This process switches static connections to the backup database as quickly as possible without interrupting existing thread operations.

Abstract: A system for identifying items based on aggregated metadata obtains images of an item. The system extracts a set of features from images of the item. The system identifies a first value of a first feature associated with a first image of the item. The system identifies a second value of the first feature associated with a second image of the item. The system aggregates the first value and the second value. The system associates the item to the aggregated first value and the second value, where the aggregated first value and the second value represent the first feature of the item. The system adds a new entry for each image of the item to a training dataset associated with an item identification model.