Abstract: The present disclosure involves systems, software, and computer implemented methods for an artificial intelligence work center for ERP data. One example method includes receiving scenario and model settings for an artificial intelligence model for a predictive scenario. A copy of the dataset is processed based on settings to generate a prepared dataset that is provided with the settings to a predictive analytical library. A trained model trained and evaluation data for the trained model is received from the predictive analytical library. A request is received to generate a prediction for the predictive scenario for a target field for a record of the dataset. The record of the dataset is provided to the trained model and a prediction for the target field for the record the dataset is received from the model. The prediction is included for presentation in a user interface that displays information from the dataset.

Abstract: A method and system for multimodal response generation through a virtual agent is provided herein. The method comprises retrieving information related to an input received by the virtual agent. The virtual agent employs an Artificial Intelligence (AI) model. The method further comprises generating a response corresponding to the input based on the retrieved information. The method may further comprises generating a plurality of prompts based on user characteristics and the input. The method may further comprises modifying the response based on the plurality of prompts to generate a multimodal response.

Abstract: A fluid flow system and a method for detecting air bubble and liquid are provided. The fluid flow system comprises a force sensor configured to monitor at least one of an air bubble or an occlusion in a flow tube. The fluid flow system comprises a controller to execute the method. The controller is configured to monitor an output signal of a force sensor of the fluid flow system, and the output signal comprises an Alternating Current (AC) component and a Direct Current (DC) component, and detect a change in the output signal to a new output signal based on a number of transitions to the new output signal, and a time duration of the new output signal. The controller compares the change in the output signal with one of a predefined number of transitions or a predefined time and determines a new threshold when the change in the output signal exceeds one of the predefined number of transitions or the predefined time.

Abstract: In some examples, an endovascular device includes an elongated body configured to be introduced in a blood vessel of a patient and a plurality of electrodes disposed along the elongated body. The plurality of electrodes includes a first group of electrodes and a second group of electrodes. The endovascular device further includes a plurality of conductors including a first conductor electrically coupled to each electrode of the first group of electrodes and a second conductor electrically coupled to each electrode of the second group of electrodes. Each electrode of the first group of electrodes faces a first direction and each electrode of the second group of electrodes faces a second direction different from the first direction. The plurality of electrodes is configured to deliver electrical stimulation to tissue of a brain of the patient or sense a patient parameter from a location within the blood vessel.

Abstract: In some examples, an endovascular medical device includes an elongated body configured to be introduced in a cranial blood vessel of a patient and an expandable element on the elongated body. The expandable element includes a plurality of loops, wherein each loop includes one or more electrodes. The expandable element is configured to expand radially outwards from a relatively low-profile delivery configuration to a deployed configuration to position the one or more electrodes to deliver electrical stimulation to tissue of a brain of a patient or sense a patient parameter from a location within the cranial blood vessel.

Abstract: A system and a method for image acquisition suitable for use in a turbine engine are disclosed. Light received from a field of view in an object plane is projected onto an image plane through an optical modulation device and is transferred through an image conduit to a sensor array. The sensor array generates a set of sampled image signals in a sensing basis based on light received from the image conduit. Finally, the sampled image signals are transformed from the sensing basis to a representation basis and a set of estimated image signals are generated therefrom. The estimated image signals are used for reconstructing an image and/or a motion-video of a region of interest within a turbine engine.

Abstract: A system and a method of estimating a time of flight of a signal are provided. The method includes transmitting a plurality of signals from a plurality of transmitters such that the plurality of signals travel different paths. The method also includes receiving the plurality of signals at one or more receivers. The plurality of signals are transmitted such that the plurality of signals are received at a same time instance. The method includes estimating the time of flight of a respective signal of the plurality of signals as a function of a time of reception of the plurality of signals and a respective time instance of transmission of the respective signal of the plurality of signals. The transmissions of the plurality of signals are triggered at different time instances.

Abstract: A system and a method for image acquisition suitable for use in a turbine engine are disclosed. Light received from a field of view in an object plane is projected onto an image plane through an optical modulation device and is transferred through an image conduit to a sensor array. The sensor array generates a set of sampled image signals in a sensing basis based on light received from the image conduit. Finally, the sampled image signals are transformed from the sensing basis to a representation basis and a set of estimated image signals are generated therefrom. The estimated image signals are used for reconstructing an image and/or a motion-video of a region of interest within a turbine engine.

Abstract: A user interface of an application is identified as designated for presentation to a particular end user of the application, the user interface rendered based at least in part on a user interface template, the user interface template including a plurality of placeholders, and the user interface adapted to receive user inputs. At least one attribute of the particular end user is identified. A first set of user interface (UI) building blocks is selected from a plurality UI building blocks, the first set of UI building blocks including at least one configurable UI building block dynamically selected based on the identified attribute of the particular end user. At least one placeholder of the user interface template is populated with the first set of UI building blocks to render the user interface for presentation to the particular end user. The user interface is presented to a user of the application.