Abstract: A method and system for performing cloud vendor arbitrage using AI is disclosed. The method includes receiving each of a plurality of metrices for each of a set of components associated with an application and infrastructure deployment, and creating one or more feature vectors corresponding to each of the plurality of metrices. The one or more feature vectors are created based on corresponding one or more first pre-trained machine learning models. The method further includes predicting a metric value corresponding to each of plurality of metrices, based on assessing of the one or more feature vectors using corresponding one or more first pre-trained machine learning models and performing cloud vendor arbitrage by computing prices for each of the set of components from price data received from each of a plurality of cloud vendors. The method further includes determining a cloud preference from at least one of plurality of cloud vendors.

Abstract: The subject matter disclosed herein is generally directed to genetic variants associated with local adiposity traits and metabolic disease. Embodiments disclosed herein provide genetic variants associated with local adiposity traits obtained by adjusting adiposity traits for BMI and height. Embodiments disclosed herein also provide genes linked to variants and associated with the local adiposity traits. The local adiposity traits are associated with metabolic disorders. In example embodiments, variants indicate risk for a metabolic disorder and can be used to determine treatment. In example embodiments, genes associated with local adiposity traits and/or variants can be targeted therapeutically. In example embodiments, a risk for a metabolic disorder can be determined by detecting one or more risk variants associated with a local adiposity trait.

Abstract: Systems and methods related to a VPN controller are provided. In some embodiments, a first VPN controller is configured to establish a VPN tunnel with a client endpoint, wherein the VPN tunnel is established using an authentication process of the client endpoint, route a L2 request to a second VPN controller via an established communication tunnel between the first VPN controller and the second VPN controller by identifying a Generic Routing Encapsulation (GRE) header of the L2 request and based on the GRE header of the L2 request, directing the L2 request to a responsive L2 device accessible by the second VPN controller, receive an encapsulated L2 response from the second VPN controller identifying acceptance of the L2 request, and enable an electronic communication between the client endpoint and the responsive L2 device at least via the VPN tunnel between the client endpoint and the first VPN controller.

Abstract: Method and system for determining a conversation system from a multi-conversation system using Artificial Intelligence (AI) is provided. The method includes receiving a user query associated with a domain and creating a hierarchical tree comprising a root node and a child node using a first pre-trained machine learning model. The method further includes traversing the hierarchical tree for a path between root node and one leaf child node to identify a topic hierarchy. The path is associated with a confidence score corresponding to mapping between user query and match data of nodes in the path. The method further includes determining a conversation system from the multi-conversation system for outputting data to answer the user query corresponding to one leaf child node of one path with a highest confidence score.

Abstract: Described herein is a low-temperature catalyst and method of use for causing an exothermic reaction in a low temperature environment. The mixture can include sodium nitrite, an ammonium-based compound, and an oxidizer and can be injected into a fluid flow path. The fluid flow path can be a pipeline, a flowline, a wellbore, or a subterranean formation. The mixture can cause an exothermic reaction in the fluid flow path and remove, using the exothermic reaction, a damaging material from the fluid flow path.

Abstract: A method and system for determining collaboration between employees is disclosed. In some embodiments, the method includes receiving a plurality of collaboration parameters associated with a set of employees. The method further includes creating a plurality of employee nodes associated with the set of employees in a hierarchical tree, based on the plurality of collaboration parameters and a first pre-trained machine learning model. The method further includes generating a plurality of vector embeddings associated with the plurality of employee nodes, based on the first pre-trained machine learning model. The method further includes determining a degree of collaboration between at least two employees from the set of employees based on one or more vector embeddings from the generated plurality of embeddings.

Abstract: Provided is a method, performed by an electronic device, of performing an operation based on bending, the method including: sensing bending that deforms a shape of the electronic device; determining a first region, from which the bending is sensed, from among regions of the electronic device; selecting an object indicated by the first region from at least one object displayed on the electronic device; and performing an operation on the selected object.

Abstract: A breaker composition comprising (i) a first acid precursor, (ii) a second acid precursor and (iii) an aqueous fluid wherein the first acid precursor has an effective operating temperature of from about 15° C. to about 120° C. and the second acid precursor has an effective operating temperature of from about 30° C. to about 180° C.

Abstract: A breaker composition comprising (i) a first acid precursor, (ii) a second acid precursor and (iii) an aqueous fluid wherein the first acid precursor has an effective operating temperature of from about 15° C. to about 120° C. and the second acid precursor has an effective operating temperature of from about 30° C. to about 180° C.

Abstract: Examples relate to a BC network including a plurality of network devices deployed in a network. The plurality of network devices includes an authoritative network device that generates a transaction in a distributed ledger. The transaction includes location information of a new public key certificate to be deployed in each of the network devices. In order to verify the transaction, a network device of the plurality of network devices verifies, using a smart contract, whether the new public key certificate is valid and whether the new public key certificate is different from a previously recorded public key certificate in the distributed ledger. In response to successful verification by at least a predefined number of network devices of the plurality of network devices, each of the network device record the transaction in the distributed ledger.

Abstract: A method and system for evaluating performance of operation resources using Artificial Intelligence (AI) is disclosed. In some embodiments, the method includes receiving, each of a plurality of performance parameters associated with a set of operation resources. The method further includes determining a set of features for each of the plurality of performance parameters. The method further includes creating one or more feature vectors corresponding to each of the plurality of performance parameters. The one or more feature vectors are created based on a first pre-trained machine learning model. The method further includes assessing the one or more feature vectors, based on the first pre-trained machine learning model and classifying the set of operation resources into one of a set of performance categories based on the assessing of the one or more feature vectors. The method further includes evaluating performance of at least one of the set of operation resources.

Abstract: This application discloses a distributed computing system implementing multiple participating processes to separately compile different portions of a circuit design describing an electronic device over multiple phases. The distributed computing system can implement a management process to utilize a synchronization protocol to identify operational states of the participating processes during compilation of the different portions of the circuit design, maintain the operational states of the participating processes, and separately determine when the participating processes have completed compilation of the circuit design portions for one of the phases based on the operational states of the participating processes.

Abstract: Disclosed is a system for generating Clinical trial protocol design document with selection of a Patient and an Investigator for a clinical trial process. The system inputs meaningful information derived from the raw data, a pre-Drafted protocol, a regulatory authorities' protocol curated by regulatory authorities, and a pre-stored dataset, present in a repository. A Clinical trial protocol design document is drafted by generating a case frame upon extracting data in form of a key value into a standard document. Each key value is validated and a prediction score is computed based on overlapping of the interim Clinical trial protocol design template with the pre-Drafted protocol and the regulatory authorities' protocol to determine whether the interim Clinical trial protocol design document is approved or rejected. A Clinical trial protocol design document is generated when the interim Clinical trial protocol design document is approved.

Abstract: The present disclosure relates to system(s) and method(s) to perform control testing to mitigate risks in an organization. The system may extract sentences from control documents, and may classify the sentences into one of questions and non-questions, based on at least one of active learning and pro-active learning. Interpretations of the questions may thereafter be generated. Relevant documents related to each of the interpretations of the questions may be identified and extracted, from repositories. Artificial Intelligence (AI) may be used to identify the relevant documents. A cognitive master may be implemented to organize meetings between control testers and process owners for discussing over effectiveness of design and implementation test of test plans to mitigate the risks.

Abstract: A method and system for evaluating performance of developers using Artificial Intelligence (AI) is disclosed. In some embodiments, the method includes receiving, each of a plurality of performance parameters associated with a set of developers. The method further includes creating one or more feature vectors corresponding to each of the plurality of performance parameters, based on one or more features determined for each of the plurality of performance parameters. The method further includes assessing the one or more feature vectors, based on the first pre-trained machine learning model. The method further includes classifying the set of developers into one of a set of performance categories based on the assessing of the one or more feature vectors. The method further includes evaluating the performance of at least one of the set of developers, based on an associated category in the set of performance categories, in response to the classifying.

Abstract: Method and system for determining a conversation system from a multi-conversation system using Artificial Intelligence (AI) is provided. The method includes receiving a user query associated with a domain and creating a hierarchical tree comprising a root node and a child node using a first pre-trained machine learning model. The method further includes traversing the hierarchical tree for a path between root node and one leaf child node to identify a topic hierarchy. The path is associated with a confidence score corresponding to mapping between user query and match data of nodes in the path. The method further includes determining a conversation system from the multi-conversation system for outputting data to answer the user query corresponding to one leaf child node of one path with a highest confidence score.

Abstract: A method and system for determining collaboration between employees is disclosed. In some embodiments, the method includes receiving a plurality of collaboration parameters associated with a set of employees. The method further includes creating a plurality of employee nodes associated with the set of employees in a hierarchical tree, based on the plurality of collaboration parameters and a first pre-trained machine learning model. The method further includes generating a plurality of vector embeddings associated with the plurality of employee nodes, based on the first pre-trained machine learning model. The method further includes determining a degree of collaboration between at least two employees from the set of employees based on one or more vector embeddings from the generated plurality of embeddings.

Abstract: A tissue splayer (76) is described which includes an index finger portion (4) and a middle finger portion (5). The tissue splayer also includes a first pivot joint (80) coupling the index finger portion (4) to the middle finger portion (5) to permit the middle finger portion (5) to rotate relative to the index finger portion (4) about a first pivot axis (81). The tissue splayer (76) also includes a first splay mechanism (88) configured to permit rotation of the middle finger portion (5) away from the index finger portion (4) about the first pivot axis, and to resist rotation of the middle finger portion (5) towards the index finger portion (4) about the first pivot axis (81).

Abstract: Systems and methods related to a VPN controller are provided. In some embodiments, a first VPN controller is configured to establish a VPN tunnel with a client endpoint, wherein the VPN tunnel is established using an authentication process of the client endpoint, route a L2 request to a second VPN controller via an established communication tunnel between the first VPN controller and the second VPN controller by identifying a Generic Routing Encapsulation (GRE) header of the L2 request and based on the GRE header of the L2 request, directing the L2 request to a responsive L2 device accessible by the second VPN controller, receive an encapsulated L2 response from the second VPN controller identifying acceptance of the L2 request, and enable an electronic communication between the client endpoint and the responsive L2 device at least via the VPN tunnel between the client endpoint and the first VPN controller.

Abstract: The invention relates to system and method for automating software development life cycle. In some embodiments, the method includes receiving a plurality of code snippets being utilized for developing a software application from a plurality of sources in a software development life cycle, generating a plurality of embedding vectors corresponding to the plurality of code snippets, and generating a high-level feature vector corresponding to each of the plurality of code snippets based on the corresponding embedding vector using a deep learning model. The method further includes generating a final merged code comprising a final sequence of code lines by combining the sequence of code lines corresponding to the plurality of code snippets using the deep learning model. The deep learning model is trained to generate the high-level feature vector and arrange the sequence of code lines based on historical data from the software development life cycle.