Abstract: Systems, computer program products, and methods are described herein for implementing a code debugger platform in a virtual environment. The system is configured to authenticate a plurality of users via an authentication portal and initialize an instance of a virtual environment for each of the plurality of users. The system is configured to extract a plurality of computer instructions, and display, in the virtual environment, a debugging platform of an integrated development environment, the debugging platform configured to receive the plurality of computer instructions and receive input from at least one of the plurality of users, and initiate a debugging protocol. The debugging protocol may include a breakpoint in at least one of the plurality of computer instructions, wherein the breakpoint is received as an input from the at least one of the plurality of users.

Abstract: Methods, systems, and apparatus for multi-cloud network verification using quantum machine learning. In one aspect, a method includes obtaining, by a classical computer, network data from the network, wherein the network data comprises network monitoring data and network configuration data; processing, by the classical computer, the network data to generate data that represents invariant properties of the network; processing, by the classical computer, the network data to generate a multi-layer graph model of the network; processing, by a quantum computer, the data that represents invariant properties of the network and the multi-layer graph model of the network using a quantum machine learning decision engine to select one or more network verification mechanisms for the network; and initiating a live check of the network using the verification mechanisms to validate the network.

Abstract: Systems, computer program products, and methods are described herein for implementing a code debugger platform in a virtual environment. The system is configured to authenticate a plurality of users via an authentication portal and initialize an instance of a virtual environment for each of the plurality of users. The system is configured to extract a plurality of computer instructions, and display, in the virtual environment, a debugging platform of an integrated development environment, the debugging platform configured to receive the plurality of computer instructions and receive input from at least one of the plurality of users, and initiate a debugging protocol. The debugging protocol may include a breakpoint in at least one of the plurality of computer instructions, wherein the breakpoint is received as an input from the at least one of the plurality of users.

Abstract: Described herein are block copolymers, and methods of making and utilizing such copolymers. The described block copolymers are disruptive of a cellular membrane, including an extracellular membrane, an intracellular membrane, a vesicle, an organelle, an endosome, a liposome, or a red blood cell. Preferably, in certain instances, the block copolymer disrupts the membrane and enters the intracellular environment. In specific examples, the block copolymer is endosomolytic and capable of delivering an oligonucleotide (e.g., an mRNA) to a cell. Compositions comprising a block copolymer and an oligonucleotide (e.g., an mRNA) are also disclosed.

Abstract: Described herein are block copolymers, and methods of making and utilizing such copolymers. The described block copolymers are disruptive of a cellular membrane, including an extracellular membrane, an intracellular membrane, a vesicle, an organelle, an endosome, a liposome, or a red blood cell. Preferably, in certain instances, the block copolymer disrupts the membrane and enters the intracellular environment. In specific examples, the block copolymer is endosomolytic and capable of delivering an oligonucleotide (e.g., an mRNA) to a cell. Compositions comprising a block copolymer and an oligonucleotide (e.g., an mRNA) are also disclosed.

Abstract: Systems and methods to facilitate the identification of connections or relationships in a network that are high impact in order to generate recommendations for future network growth are disclosed. The embodiments convert network maps into graphs comprising nodes and edges. The system identifies the edge that, when removed, causes the greatest impact on the network as a whole. In one embodiment, the system can be used to identify locations for installation of electric vehicle charging stations.

Abstract: Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media that support creating and leveraging digital twins to model multiple physical systems of an enterprise as a monolithic computer system. A digital twin platform may create an abstracted virtual model of an enterprise's system, the model representing a digital twin of a distributed collection of systems that as a group serve a larger goal of the enterprise. Because the abstracted virtual model is logically organized as a monolithic system that maps to multiple physical systems, the abstracted virtual model may be leveraged to provide system health monitoring and scoring from data gathered from the physical systems. The health monitoring, in addition to generation of insights for improving system health, may be easier to understand and more familiar to a user, thereby enabling meaningful determination of actions to perform to maintain or improve system health.

Abstract: A device may receive state data, actions, and rewards associated with a network of RL agents monitoring a microgrid environment, and may model the network of RL agents as a spatiotemporal representation. The device may represent interactions of the RL agents as edge attributes in the spatiotemporal representation, and may determine edge attributes, transmissibility, connectedness, and communication delay for each of the RL agents in the spatiotemporal representation. The device may determine, based on the transmissibility, the connectedness, and the communication delay, localized clusters of the RL agents, and may process the localized clusters, with a first machine learning model, to identify consensus master RL agents. The device may process the consensus master RL agents, with a second machine learning model, to identify a final master RL agent for the network of RL agents, and cause the final master RL agent to control the microgrid environment.

Abstract: Disclosed are branched PEG molecules, including branched PEG-lipids and branched-PEG proteins, as well as related compositions and methods for making branched PEG molecules. Also disclosed are related compositions, systems, and methods for in vivo delivery of therapeutic and diagnostic agents.

Abstract: A system and method of deploying and managing an integration for a hybrid computing environment is disclosed. The proposed systems and methods provide an intelligent hybrid cloud architecture and environment that offers reduced deployment times, and little to no errors. The system incorporates an artificial intelligence (AI) powered solution that is API-enabled and pre-integrated with system chatbots, as well as providing a secure, accelerated integration with available cloud ecosystems. The proposed solution is able to analyze business processes and derive and build deep insights toward the enterprise cloud integration, improving security, design, and performance of the hybrid architecture.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for resolving a contextual ticket. The methods, systems, and apparatus include actions of receiving a request from a user to generate a contextual ticket that indicates an issue with an integration, obtaining baseline information for the issue, generating, based on the baseline information, a ticket knowledge graph, providing the ticket knowledge graph to a machine-learning trained action determination engine, receiving, from the machine-learning trained action determination engine, an indication of an action for resolving the issue, and initiating, based on the indication of the action for resolving the issue, the action for resolving the issue.

Abstract: A system and method of deploying and managing an integration for a hybrid computing environment is disclosed. The proposed systems and methods provide an intelligent hybrid cloud architecture and environment that offers reduced deployment times, and little to no errors. The system incorporates an artificial intelligence (AI) powered solution that is API-enabled and pre-integrated with system chatbots, as well as providing a secure, accelerated integration with available cloud ecosystems. The proposed solution is able to analyze business processes and derive and build deep insights toward the enterprise cloud integration, improving security, design, and performance of the hybrid architecture.

Abstract: Described herein are block copolymers, and methods of making and utilizing such copolymers. The described block copolymers are disruptive of a cellular membrane, including an extracellular membrane, an intracellular membrane, a vesicle, an organelle, an endosome, a liposome, or a red blood cell. Preferably, in certain instances, the block copolymer disrupts the membrane and enters the intracellular environment. In specific examples, the block copolymer is endosomolytic and capable of delivering an oligonucleotide (e.g., an mRNA) to a cell. Compositions comprising a block copolymer and an oligonucleotide (e.g., an mRNA) are also disclosed.

Abstract: Examples of an API assessment system are provided. The system may obtain a security assessment requirement from a user for surveillance of a plurality of application programming interfaces. The system may create a data corpus from the assessment data associated with the query. The system may create a sequence classification model from the data corpus. The system may identify a plurality of risk parameters and a plurality of risk mapping levels associated with the query. The system may create a risk profile for the plurality of application programming interfaces based on mapping the plurality of risk parameters to the plurality of risk mapping levels and the sequence classification model. The system may create a rectification corpus and a data rectification model comprising a plurality of remediations for automated healing of a risk identified by the risk profile. The system may generate a security assessment result for the resolution of the query.

Abstract: Described herein are block copolymers, and methods of making and utilizing such copolymers. The described block copolymers are disruptive of a cellular membrane, including an extracellular membrane, an intracellular membrane, a vesicle, an organelle, an endosome, a liposome, or a red blood cell. Preferably, in certain instances, the block copolymer disrupts the membrane and enters the intracellular environment. In specific examples, the block copolymer is endosomolytic and capable of delivering an oligonucleotide (e.g., an mRNA) to a cell. Compositions comprising a block copolymer and an oligonucleotide (e.g., an mRNA) are also disclosed.

Abstract: Described herein are block copolymers, and methods of making and utilizing such copolymers. The described block copolymers are disruptive of a cellular membrane, including an extracellular membrane, an intracellular membrane, a vesicle, an organelle, an endosome, a liposome, or a red blood cell. Preferably, in certain instances, the block copolymer disrupts the membrane and enters the intracellular environment. In specific examples, the block copolymer is endosomolytic and capable of delivering an oligonucleotide (e.g., an mRNA) to a cell. Compositions comprising a block copolymer and an oligonucleotide (e.g., an mRNA) are also disclosed.

Abstract: Disclosed are branched PEG molecules, including branched PEG-lipids and branched-PEG proteins, as well as related compositions and methods for making branched PEG molecules. Also disclosed are related compositions, systems, and methods for in vivo delivery of therapeutic and diagnostic agents.

Abstract: Described herein are block copolymers, and methods of making and utilizing such copolymers. The described block copolymers are disruptive of a cellular membrane, including an extracellular membrane, an intracellular membrane, a vesicle, an organelle, an endosome, a liposome, or a red blood cell. Preferably, in certain instances, the block copolymer disrupts the membrane and enters the intracellular environment. In specific examples, the block copolymer is endosomolytic and capable of delivering an oligonucleotide (e.g., an mRNA) to a cell. Compositions comprising a block copolymer and an oligonucleotide (e.g., an mRNA) are also disclosed.

Abstract: Described herein are block copolymers, and methods of making and utilizing such copolymers. The described block copolymers are disruptive of a cellular membrane, including an extracellular membrane, an intracellular membrane, a vesicle, an organelle, an endosome, a liposome, or a red blood cell. Preferably, in certain instances, the block copolymer disrupts the membrane and enters the intracellular environment. In specific examples, the block copolymer is endosomolytic and capable of delivering an oligonucleotide (e.g., an mRNA) to a cell. Compositions comprising a block copolymer and an oligonucleotide (e.g., an mRNA) are also disclosed.

Abstract: Described herein are block copolymers, and methods of making and utilizing such copolymers. The described block copolymers are disruptive of a cellular membrane, including an extracellular membrane, an intracellular membrane, a vesicle, an organelle, an endosome, a liposome, or a red blood cell. Preferably, in certain instances, the block copolymer disrupts the membrane and enters the intracellular environment. In specific examples, the block copolymer is endosomolytic and capable of delivering an oligonucleotide (e.g., an mRNA) to a cell. Compositions comprising a block copolymer and an oligonucleotide (e.g., an mRNA) are also disclosed.