Abstract: A method and system for updating prediction model for curing process design is disclosed. The method includes updating a prediction model based on the input through a semi-supervised learning technique. The method may include receiving an input corresponding to a curing process. The method may further include generating a second set of experiments using the updated prediction model and an optimization component associated with the prediction model. The method may further include obtaining a second set of data upon performing a second set of experiments on a physical set-up. The method may further include determining an error between the predicted set of data and the second set of data. The method may further include updating the prediction model based on the second set of data when the error is out of a predefined threshold.

Abstract: A method for detecting and modeling objects in space using LIDAR is disclosed. The method includes transmitting a laser beam to detect at least one object in space. Further, the method includes detecting one or more data related to at least one object. The detection is based upon the principle of reflection of the object in a vacuum. Further, said one or more data related to at least one object obtained from the detection unit is processed. Further, one or more information is determined from the processed data related to at least one object. The one or more information is mapped corresponding to the related at least one object. The method further comprises measuring one or more parameters associated with at least one of the mapped objects and modeling the measurement data related to at least one of the mapped objects.

Abstract: A computer system that includes a plurality of compute clusters that are located at different geographical locations. Each compute cluster is powered by a local energy source at a geographical location of that compute cluster. Each local energy source has a pattern of energy supply that is variable over time based on an environmental factor. The computer system further includes a server system that executes a global scheduler that distributes virtual machines that perform compute tasks for server-executed software programs to the plurality of compute clusters of the distributed compute platform. To distribute virtual machines for a target server-executed software program, the global scheduler is configured to select a subset of compute clusters that have different complementary patterns of energy supply such that the subset of compute clusters aggregately provide a target compute resource availability for virtual machines for the target server-executed software program.

Abstract: Systems, methods, and computer storage media are disclosed for predicting visual compatibility between a bundle of catalog items (e.g., a partial outfit) and a candidate catalog item to add to the bundle. Visual compatibility prediction may be jointly conditioned on item type, context, and style by determining a first compatibility score jointly conditioned on type (e.g., category) and context, determining a second compatibility score conditioned on outfit style, and combining the first and second compatibility scores into a unified visual compatibility score. A unified visual compatibility score may be determined for each of a plurality of candidate items, and the candidate item with the highest unified visual compatibility score may be selected to add to the bundle (e.g., fill the in blank for the partial outfit).

Abstract: According to an embodiment herein, a method of fabricating (100) a proton dosimeter (200) including; filing off (104) a frontal surface of a light emitting diode (LED) (120) and a frontal surface of a light-to-frequency converter (LFC) (124); exposing a plurality of first sensitive zone (122) of the LED (120) and a plurality of second sensitive zone (123) of the LFC (124); bonding (108) the plurality of first sensitive zones (122) and the plurality of second sensitive zones (123) by acrylic glue; wrapping (110) the sensitive zone interface of the LED (120) and the LFC (124) in a metal foil (111) and a polymer tape (113); and filling a gap between the metal foil (111) and a plurality of terminal leads (115) of the LED (120) and the LFC (124) with acrylic polymer aliquots (125)

Abstract: A system for including a chatbot into a group chat session is provided. The system receives a chatbot mention message from a user in the group chat session. The chatbot mention message includes a chatbot prompt for a chatbot. The system generates a prompt using the chatbot mention message and communicates the response as a chatbot response message to each user in the group chat session.

Abstract: Methods and systems for detecting and mitigating the effects of time of flight interference of a radio frequency (RF) signal are provided. A wireless communication network may determine, based on one or more parameters being sufficiently different than a baseline value, that time of flight interference is occurring based on the undesirable propagation of a first cell's downlink signals into a second cell's coverage area. In response to the determination, the network may identify an offending base station and modify the RF transmission characteristics of the offending base station to prevent or mitigate the impact of the interference event on the RF signal's propagation.

Abstract: Methods of increasing formability of a palm sheath material, methods of producing a palm sheath-based product, and palm sheath foodware produced thereby. The formability of a palm sheath material is increased by treating the palm sheath material with a fluid substance that weakens bonds between cellulose fibers of the palm sheath material by partially eliminating lignin and hemicellulose of the palm sheath material. The treated palm sheath material can be used to form various products, such as foodware products by deforming the treated palm sheath material into a shape. Advantageously, the treated palm sheath material can typically be deformed by stretching or punching using dies to a height to diameter aspect ratio of greater than 0.2 and/or to a limit strain of the palm sheath material greater than 0.38.

Abstract: Systems and methods related to controlling clock signals for clocking shader engines modules (SEs) and non-shader-engine modules (nSEs) of a graphics processing unit (GPU) are provided. One or more dividers receive a clock signal CLK and output a clock signal CLKA to the SEs and output a clock signal CLKB to the nSEs. The frequencies of CLKA and CLKB are independently selected based on sets of performance counter data monitored at the SEs and nSEs, respectively. The clock signal frequency for either the SEs or the nSEs is reduced when the corresponding sets of performance counter data indicates a comparatively lower processing workload for the SEs or for the nSEs.

Abstract: A method is provided. The method includes receiving, by a User Equipment (UE), a plurality of transmit (Tx) beams from a Base Station (BS), on a plurality of receive (Rx) beams. The method includes determining the beam parameters associated with a plurality of Tx and Rx beam pairs changing at a frequency above a first threshold. The method includes deriving a beam selection metric for the plurality of Tx and Rx beam pairs using the associated beam parameters. The method includes identifying a subset of Tx and Rx beam pairs from the plurality of Tx and Rx beam pairs with the beam selection metric above a second threshold. The method includes prioritizing scanning of the identified subset of Tx and Rx beam pairs to select a Tx and Rx beam pair for communication.

Abstract: A control device includes a target position setting part, a trajectory estimation part, and a target position selector. The target position setting part determines a target position of an actor of a robot based on a form of an object located in an operating environment of the robot. The trajectory estimation part estimates a predicted trajectory of the actor based on motion of the actor up to the present, and estimates a trajectory of the actor from a current position to the target position as an approach trajectory using a predetermined function. The target position selector selects one target position based on a degree of similarity between the predicted trajectory and each of the approach trajectory.

Abstract: State of the art techniques rely on Neural Network based approaches for tabular synthetic data generation are computationally intensive require data preprocessing. A method and system for generating tabular synthetic data falling within data distribution of base data is disclosed that utilizes statistical and unsupervised techniques directly on the raw base data providing computationally less intensive solution without need for data preprocessing. Constrained perturbation is applied on multi-dimensional tabular base data and dimensionality reduction is applied on both the base data and the perturbed data to generate 2D data. The 2D base data is used to train GMMs to obtain optimum number of clusters, using first local maxima of Silhouette score technique. Using median cluster distance approach between the 2D perturbed data and cluster centers of the 2D base data, the outlier in the perturbed data are discarded to obtain final synthetic data samples lying within the base data distribution.

Abstract: A processor supports secure memory access in a virtualized computing environment by employing requestor identifiers at bus devices (such as a graphics processing unit) to identify the virtual machine associated with each memory access request. The virtualized computing environment uses the requestor identifiers to control access to different regions of system memory, ensuring that each VM accesses only those regions of memory that the VM is allowed to access. The virtualized computing environment thereby supports efficient memory access by the bus devices while ensuring that the different regions of memory are protected from unauthorized access.

Abstract: A named-entity recognition (NER) model detects named entities with types that correspond to protected health information (PHI) in potentially sensitive documents. The NER model is trained to detect named entities corresponding to both personally identifiable information (PII) and medical terms. Output of the NER model is preprocessed as input to a random forest classifier that outputs a verdict that documents comprise sensitive data. The verdict is interpretable via high confidence named entities detected by the NER model that led to the verdict.

Abstract: A device receives a query from a user associated with a car dealership and applies the query to a first trained machine learning model configured to predict an intent, and to a second trained machine learning model to predict a set of entities. The device generates a normalized representation of the first query that is database language agnostic based on the predicted intent and the predicted set of entities, and translates the normalized representation into a second query having a format compatible with a language of a database of the car dealership. The device fetches data from the database of the car dealership using the second query, and provides the data for display to the user.

Abstract: The present disclosure discloses a compliant mechanism (100) for application of radial resistance on a simulation endoscope (101). The mechanism (100) comprises a support plate (102), a ring member (103) rotatably mounted on the support plate (102) and a plurality of flexible beam assemblies (104) configured in an inner circumference of the ring member (103). The plurality of flexible beam assemblies (104) comprises a first beam (104a) connectable to the ring member (103) and a second beam (104b) connectable to the support plate (102), the circular motion of at least one of the support plate (102) and the ring member (103), relative to each other, moves the plurality of flexible beam assemblies (104) radially inward and radially outward to selectively apply radial resistance on the simulation endoscope (101). The complaint mechanism (100) of present disclosure are joint less mechanisms which are free from backlash and friction in joints.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling a reinforcement learning agent in an environment to perform a task using a retrieval-augmented action selection process.

Abstract: Aspects relate to a calibration trigger for a current sensor of a computing device. In one example, a current sensor controller is configured to receive a temperature signal representing a measured temperature of a computing device. A comparator is configured to determine if the temperature signal exceeds a temperature threshold. A logic gate is configured to trigger a calibration of a current sensor coupled to the computing device in response to the temperature true signal exceeding the threshold.

Abstract: The present invention discloses a system for scheduling jobs within a manufacturing environment, integrating a plurality of sensors to capture operational parameters. A processing unit, linked to the plurality of sensors, analyzes datasets to determine the operational parameters. A machine learning module coupled to the processing unit, enhances a scheduling algorithm using the operational parameters. This machine learning module includes a first predictor for estimating job processing times and forecasting operating conditions based on these parameters. A formulator adjusts the scheduling algorithm using the forecasted operating conditions for distinct time intervals. Additionally, a second predictor forecasts subsequent operating conditions based on the modified scheduling algorithm and initial forecasts. The system optimizes job scheduling, enhancing efficiency and productivity within the manufacturing environment.

Abstract: Techniques for conserving system resources using smart document retention are disclosed. A computer system may identify a first portion of a plurality of documents as being decision-making documents based on each document in the first portion being scheduled for deletion within a specified period of time, identify a second portion of the plurality of documents as being non-decision-making documents based on each document in the second portion either being scheduled for deletion outside of the specified period of time or having been converted into and stored as a knowledge base document, and determine a corresponding level of similarity between each decision-making document and each non-decision-making document. The computer system may then cause identifications of a subset of the decision-making documents to be displayed on a computing device based on the corresponding level of similarity between each decision-making document in the subset and at least one of the non-decision-making documents.