Abstract: Systems, computer program products, and methods are described herein for dynamically generating notifications based on current data transmissions over a remote electronic network. The present invention is configured to identify a communication channel comprising a user identifier; train a generative AI engine based on at least one pre-determined guardrail for the communication data in the communication channel, historical user data associated with the user identifier, and at least one issue attribute; collect real time data of the communication channel; apply the real time data to the trained generative AI engine; determine, by the generative AI engine, at least one issue attribute for the communication channel; generate, by the generative AI engine, a dynamic script based on the real time data and the at least one issue attribute; and generate a notification interface component based on the dynamic script.

Abstract: Embodiments of the present invention provide a system for identifying and blocking synthetic media based misappropriation attempts associated with electronic communications. The system is configured for identifying initiation of an authentication request from a user device of a user, monitoring and recording user characteristics via the user device, capturing user environment data of the user, via the user device, analyzing the user characteristics and the user environment data of the user, via an artificial intelligence engine, determining, via the artificial intelligence engine, if the authentication request is a misappropriation attempt based on at least one of the user characteristics and the user environment data, and performing an action comprising authenticating the user based on determining that the authentication request is not a misappropriation attempt or denying authentication of the user based on determining that the authentication request is a misappropriation attempt.

Abstract: Systems, computer program products, and methods are described herein for dynamically generating notifications based on current data transmissions over a remote electronic network. The present invention is configured to identify a communication channel comprising a user identifier; train a generative AI engine based on at least one pre-determined guardrail for the communication data in the communication channel, historical user data associated with the user identifier, and at least one issue attribute; collect real time data of the communication channel; apply the real time data to the trained generative AI engine; determine, by the generative AI engine, at least one issue attribute for the communication channel; generate, by the generative AI engine, a dynamic script based on the real time data and the at least one issue attribute; and generate a notification interface component based on the dynamic script.

Abstract: Embodiments of the present invention provide a system for identifying and blocking synthetic media based misappropriation attempts associated with electronic communications. The system is configured for identifying initiation of an authentication request from a user device of a user, monitoring and recording user characteristics via the user device, capturing user environment data of the user, via the user device, analyzing the user characteristics and the user environment data of the user, via an artificial intelligence engine, determining, via the artificial intelligence engine, if the authentication request is a misappropriation attempt based on at least one of the user characteristics and the user environment data, and performing an action comprising authenticating the user based on determining that the authentication request is not a misappropriation attempt or denying authentication of the user based on determining that the authentication request is a misappropriation attempt.

Abstract: Systems, computer program products, and methods are described herein for routing data transmissions using machine learning models and enriching data using artificial intelligence. The present disclosure is configured to: receive a dataset comprising a set of elements; rank the received dataset among a plurality of datasets via a machine learning model (MLM), wherein ranking the received dataset determines priority of the received dataset within the plurality; generate a summary of the set of elements within the dataset via an artificial intelligence engine; identify a team via the MLM, based on rank and the summary of the set of elements of the dataset, to process the received dataset; and transmit the dataset to the team identified by the MLM.

Abstract: A method includes flowing gas within a chamber for first process parameters at a predetermined point in a laser focal plane and simulating the step of flowing gas within the chamber based on the value of the flow characteristic of the gas at the predetermined point in the laser focal plane so that a value of a simulated-flow characteristic of the gas at a predetermined point away from the laser focal plane is identified. The method comprises comparing the value of the simulated-flow characteristic of gas at the predetermined point away from the laser focal plane to a desired value of the simulated-flow characteristic and flowing gas within the chamber for second differing process parameters, when the value of the simulated-flow characteristic of the gas at the predetermined point away from the laser focal plane differs from the desired value of the simulated-flow characteristic is outside a predetermined range.

Abstract: A method includes flowing gas within a chamber for first process parameters at a predetermined point in a laser focal plane and simulating the step of flowing gas within the chamber based on the value of the flow characteristic of the gas at the predetermined point in the laser focal plane so that a value of a simulated-flow characteristic of the gas at a predetermined point away from the laser focal plane is identified. The method comprises comparing the value of the simulated-flow characteristic of gas at the predetermined point away from the laser focal plane to a desired value of the simulated-flow characteristic and flowing gas within the chamber for second differing process parameters, when the value of the simulated-flow characteristic of the gas at the predetermined point away from the laser focal plane differs from the desired value of the simulated-flow characteristic is outside a predetermined range.

Abstract: A method of configuring an additive-manufacturing machine comprises a chamber, a platform, movable inside the chamber and comprising a build-plane surface, and a laser, having a laser focal plane within the chamber. The method comprising steps of flowing a gas within the chamber in accordance with a first set of process parameters and identifying a value of a flow characteristic of the gas at a predetermined point in the laser focal plane while flowing the gas within the chamber in accordance with the first set of process parameters. The method also comprises additively manufacturing a test coupon using the laser while flowing the gas within the chamber in accordance with the first set of process parameters, wherein the test coupon has a test-coupon peripheral surface.

Abstract: A method of configuring an additive-manufacturing machine comprises a chamber , a platform, movable inside the chamber and comprising a build-plane surface, and a laser, having a laser focal plane within the chamber. The method comprising steps of flowing a gas within the chamber in accordance with a first set of process parameters and identifying a value of a flow characteristic of the gas at a predetermined point in the laser focal plane while flowing the gas within the chamber in accordance with the first set of process parameters. The method also comprises additively manufacturing a test coupon using the laser while flowing the gas within the chamber in accordance with the first set of process parameters , wherein the test coupon has a test-coupon peripheral surface.

Abstract: The present invention provides for a formulation containing a marine bio-active complex that can be used as mouth waste, mouth rinse and toothpaste.

Abstract: Various approaches are provided for generating an implementation of an electronic circuit design. In one embodiment, a processor-based method implements a design in an integrated circuit or IC (e.g., a programmable logic device. The method includes storing performance-variation data that represents location-based performance variations between logically-equivalent-programmable resources of the IC. The respective stored performance-variation data of at least two logically-equivalent-programmable resources of the IC are compared. The logic of the design is mapped, placed and routed on resources of the IC. The mapping, placing and routing includes, for an implementation of at least one subset of the logic of the design, selecting between the at least two logically-equivalent-programmable resources of the IC based on a result of the step of comparing respective stored performance-variation data of the at least two logically-equivalent-programmable resources.