Abstract: The disclosed technology relates to methods, voice enhancement systems, and non- transitory computer readable media for real-time voice enhancement. In some examples, input audio data including foreground speech content, non-content elements, and speech characteristics is fragmented into input speech frames. The input speech frames are converted to low-dimensional representations of the input speech frames. One or more of the fragmentation or the conversion is based on an application of a first trained neural network to the input audio data. The low-dimensional representations of the input speech frames omit one or more of the non-content elements. A second trained neural network is applied to the low-dimensional representations of the input speech frames to generate target speech frames. The target speech frames are combined to generate output audio data. The output audio data further includes one or more portions of the foreground speech content and one or more of the speech characteristics.

Abstract: The disclosed technology relates to methods, background noise suppression systems, and non-transitory computer readable media for background noise suppression. In some examples, frames fragmented from input audio data are projected into a higher dimension space than the input audio data. An estimated speech mask is applied to the frames to separate speech components and noise components of the frames. The speech components are then transformed into a feature domain of the input audio data by performing an inverse projection on the speech components to generate output audio data. The output audio data is provided via an audio interface. The output audio data advantageously comprises a noise-suppressed version of the input audio data.

Abstract: Systems, methods, and other embodiments associated with adaptive code scanning are described. In one example method, a valid configuration that specifies approved parameters of use for a software component is defined. Software code is scanned to detect that the software component exists in the software code. Where the component is detected, the software code is scanned to identify implemented parameters of use for the software component. The implemented parameters are compared to the approved parameters. Based on the comparison, the software component is determined to be not implemented according to the valid configuration. Where the software component is implemented according to the valid configuration, the method automatically determines to proceed with the automated action based on the implemented parameters. The automated action is performed to adapt to the implemented parameters.

Abstract: Methods, systems, and devices for wireless communications are described. Some wireless communications systems may support techniques for a user equipment (UE) to select a scheduling request resource from multiple scheduling request resources allocated across different cells based on one or more conditions. The UE may receive control signaling that indicates a first scheduling request resource on a first cell and a second scheduling request resource on a second cell. The UE may generate a scheduling request applicable to the first and second scheduling request resources. The UE may select the first scheduling request resource for transmission of the scheduling request on the first cell based on one or more of a power mode of the UE, a signal metric associated with the first cell, or a numerology of the first cell. The UE may transmit the scheduling request via the first resource on the first cell based on the selecting.

Abstract: Methods, devices, and systems for air traffic control (ATC) flight management are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive airport information associated with an airport, generate, using the airport information, an ATC flight management analysis that includes an airport map showing locations of aircraft at the airport and a card panel including a number of flight cards, where each respective one of the number of flight cards corresponds to a different respective one of the aircraft at the airport, and a user interface to display the ATC flight management analysis in a single integrated display.

Abstract: The present invention relates to a method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting (51) a process model based on the category; accessing (53) historic data related to past process runs for manufacturing the sample; accessing (53) current data obtained (54) from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting (62) an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data. The present invention also relates to a method for modelling a process and a control system (10) for controlling a process.

Abstract: Credentials management and usage in application modernization can be implemented as computer-readable methods, media and systems. A notification identifying an application modernization operation is received. The operation is to be performed on an application deployed by multiple resources arranged in multiple hierarchical levels. A resource residing at a hierarchical level of the multiple hierarchical levels is identified. The application modernization operation is to be performed on the identified resource which has a resource type. A search for a credential is performed. The credential grants access to the resource to enable performing the application modernization operation. In response to the searching, a credential included in the multiple credentials is identified. The identified credential grants access either to the resource or to resources of the resource type. In response to receiving the notification, the identified credential is provided.

Abstract: Methods of treating an eye for an ocular condition such as placing a composite depot comprising a xerogel with embedded degradable particles into an anterior chamber of an eye to deliver a therapeutic agent. The xerogel is a hydrogel after exposure to intraocular fluid and is degradable. The degradable particles comprise the therapeutic agent and hydrolytically degrade in the anterior chamber to provide a controlled release of the therapeutic agent into the eye. Materials and processes for making depots are provided as well as alternative methods of their use.

Abstract: A computer-implemented method and system for synchronizing a mass notification. A method includes detecting an update in a configuration at a control panel over a first communication channel, and generating an update notification message based at least in part on the detection. The method can also include transmitting the update notification message over a second communication channel to synchronize an MNS with the update in the configuration at the control panel.

Abstract: Systems and methods are provided for facilitating automated administration of email messages received by a customer service representative including a service email administrator system that reviews incoming email messages, analyzes the content, assesses emotional sentiment, urgency, and determines the best course of action. The conversation administrator is configured to use natural language processing and machine learning algorithms to generate automated responses, provide email response drafts for customer service representative (CSR) review, or route emails to CSRs based on the sentiment or urgency.

Abstract: Embodiments herein generally relate to video-conferencing systems, and more particularly a method and system for optimally grouping and auto-cropping a field of view (FOV) of the video-conferencing system based on predefined preferences, such as preferences determined by a user. Generally, embodiments of the disclosure provided herein include a video-conferencing system that is configured to update the presentation of participants within a video conference to regularly determine the optimal presentation of the participants at any given moment in time based on predetermined preferences, while mitigating defects and related unwanted distractions typically generated in the video conference presentation due to the changes provided in the updates.

Abstract: The present invention provides a data processing system and method for operating an enterprise application to execute one or more tasks including a pick-pack-ship task. The invention includes generating a graphical user interface with one or more data points providing one or more item data, one or more lot data for the item data, and one or more handling unit data for the lot data to generate a pick-pack ship projection on the interface based on Artificial intelligence processing of a historical dataset.

Abstract: The present invention relates to a process for producing enriched algal biomass having high lipid productivity. More particularly, the present invention provides a process for obtaining an enriched biomass with omega-3 fatty acids by using a microalgal strain Schizochytrium MTCC 5890 in a unique media composition and substrate residual band in a steady state continuous fermentation. The process of the present invention results in high biomass and lipid productivity.

Abstract: Systems and methods are provided for facilitating inviting a conversation administrator to a message exchange (i.e., a text conversation) between chat participants. The conversation administrator is configured to use natural language processing and machine learning algorithms to provide support to human chat participants by assisting with various tasks or inquiries, resolving disputes, and acting in a mediator or counselor capacity.

Abstract: A Polynomial Implicit Neural Representation generator framework (Poly-INR framework) may be trained to generate polynomial implicit neural representations for large diverse training datasets and learn a polynomial order representing the training datasets. The Poly-INR framework may include a mapping network and a synthesis network. The mapping network may map latent code extracted from the plurality of input images of the training dataset into an affine parameters space and generate affine transformation parameters from the affine parameters space. The synthesis network may obtain the affine transformation parameters and pixel coordinate locations from the mapping network and parameterize the affine transformation parameters using the latent code extracted from the plurality of input images of the training dataset as a known distribution.

Abstract: Methods and apparatuses are described for automated cross-browser user interface testing. A computing device captures (i) a first image file corresponding to a first current user interface view of a web application on a first testing platform and (ii) a second image file corresponding to a second current user interface view of a web application on a second testing platform. The computing device prepares the image files, and compares the prepared image files using a structural similarity index measure. The computing device determines that the prepared first image file and the prepared second image file represent a common user interface view when the structural similarity index measure is within a predetermined range. The computing device highlights corresponding regions that visually diverge from each other in each of the prepared image files and transmits a notification message comprising the highlighted image files.

Abstract: Provided herein are polypeptides that bind to a transferrin receptor, methods of generating such polypeptides, and methods of using the polypeptides to target a composition to a transferrin receptor-expressing cell.

Abstract: The present invention relates to a topical composition that provides energizing glow to skin. It more particularly relates to a personal care composition for topical application that delivers a fresh, young and lively look to skin. This is achieved through a combination of Olivine extract and a vitamin C compound.

Abstract: A Deep Geometric Moment framework (DGM framework) may be trained to perform an image classification task using a training dataset having a plurality of images. Training the DGM framework may include generating 2D coordinate grids for the plurality of images and computing coordinate bases. The training may further include extracting image features for the plurality of images and computing geometric moments for the image features. Training the DGM framework may include generating predicted affine transformation parameters to transform the 2D coordinate bases into a transformed coordinate grid and generating new coordinate bases and new geometric moments learned from the image features to reconstruct the plurality of images using the transformed coordinate grid. The DGM framework may output an Artificial Intelligence model (AI model) trained to perform the image classification task for an input image.

Abstract: A method of providing recommendations for matching leads to financial advisors using a machine learning model comprises training the model using attributes of the leads and advisors to determine lead/advisor matches and to output a recommendation list of lead/advisor matched pairs, serializing the model, providing access to the serialized model to a user device via an API, deserializing the model, receiving advisor preferences from the user in natural text form, converting the natural text received from the user into a form adapted to be used as input to the model, executing the deserialized model using the received preferences to determine advisor recommendations for the user, filtering the advisor recommendations using rules which disallow certain lead/advisor pairings, outputting filtered recommendations at the end user device, and transmitting a selection from the filtered recommendations from the user for further training of the model with respect to the particular end user.