Abstract: A multi-media product is created from fetal ultrasound images, during scanning of a fetus using an ultrasound scanner, and employs a specifically trained artificial intelligence (AI) model to execute on a computing device communicably connected to an ultrasound scanner, wherein the AI model is trained so that when the AI model is deployed, the computing device identifies and selects one or more fetal anatomical features, in whole or part, imaged in fetal ultrasound imaging data generated during ultrasound scanning as part of a clinical exam of the fetus, wherein the selected one or more fetal anatomical features are visually appealing for entertainment and keepsake purposes and are not part of a clinical assessment of the health or growth of the fetus and wherein after acquiring a new fetal ultrasound image during ultrasound scanning, the AI model selects the one or more fetal anatomical features, in whole or part, which are visually appealing for entertainment and keepsake purposes and are not part of a clin

Abstract: An artificial intelligence and machine learning system and method for image generation. The method comprising receiving a word comprising language characters, processing each of the characters in the word into visual elements, generating an image using the visual elements of the characters. The AI system may receive a name of a person such as ‘Amy’ and may process the name into visual elements that when positioned and oriented relative to each other, form a face. The letter ‘a’ may be used as the outline of the face, the letter ‘m’ positioned within the ‘a’ may be used to depict closed eyes and the letter ‘y’ positioned within the ‘a’ and below the ‘m’ may be used to depict a nose and mouth.

Abstract: A lighting apparatus a first group of at least one first solid state emitter, each first solid state emitter including a first light emitting diode (“LED”) that, when excited, emits light having a peak wavelength in a range between about 440 nm and about 475 nm, and a second group of at least one second solid state emitter, each second solid state emitter comprising a second LED that, when excited, emits light having a peak wavelength in a range between about 390 nm and about 415 nm. Between about 2% and about 15% of a spectral power of light emitted from the lighting apparatus is light having wavelengths in the range between about 390 nm and about 415 nm.

Abstract: Interactions with virtual systems may be difficult when users inadvertently fail to provide sufficient information to proceed with their requests. Certain types of inputs, such as auditory inputs, may lack sufficient information to properly provide a response to the user. Additional information, such as image data, may enable user gestures or poses to supplement the auditory inputs to enable response generation without requesting additional information from users.

Abstract: The disclosure relates to bioreactors, for example for biological treatment and, more specifically to bioreactor insert apparatus including biofilms and related methods. The bioreactor insert apparatus provides a means for circulation of reaction medium within the bioreactor, a biofilm support, and biological treatment of an inlet feed to the reactor/insert apparatus. The bioreactor insert apparatus has a high relative surface area for biofilm attachment and is capable of generating complex flow patterns and increasing treatment efficiency/biological conversion activity in a biologically-active reactor. The high surface area structure incorporates multiple biofilm support structures such as meshes at inlet and outlet portions of the structure. The biofilm support structures and biofilms thereon can increase overall reaction rate of the bioreactor and/or perform some solid/liquid separation in the treatment of the wastewater or other influent.

Abstract: A biopsy forceps device includes a tension member and an end effector including first and second jaws movable between an open configuration, in which the jaws are separated from one another to receive target tissue therebetween, and a closed configuration, in which cutting edges of the jaws are moved toward one another to cut a portion of the target tissue. The jaws define a tissue receiving space therebetween to house the cut tissue. The jaws are pivotable relative to one another, each of the jaws including a serrated cutting edge extending therealong, the end effector further including a tension member attachment including a proximal end coupled to the tension member. The attachment is movably coupled to the jaws so that distal movement of the attachment moves the jaws to the open configuration while proximal movement thereof moves the jaws to the closed configuration.

Abstract: A method for encouraging dialogue between, and promoting transparency of said dialogue, a plurality of telecommunicators is provided. The plurality of telecommunicators may include an end user and an agent. The method includes receiving a request for a dialogue from the end user. The request includes a set of end user log-in credentials associated with the end user. The method further includes identifying the agent associated with a set of agent log-in credentials. The agent may respond to the request. The method also distinguishes the end user from the agent based on the set of end user log-in credentials and the set of agent log-in credentials and then instantiates an instance of telecommunications between the end user and the agent based, at least in part, on the distinguishing. Finally, the method includes monitoring the instantiation and displaying to the agent a live customer sentiment score based on a sentiment model.

Abstract: Systems and methods for a vision-based machine learning model for aggregation of static objects and systems for autonomous driving. An example method includes obtaining images from image sensors positioned about a vehicle. Features associated with the images are determined, with the features being output based on a forward pass through a machine learning model. The features are projected into a vector space associated with a birds-eye view based on the machine learning model. The projected features are aggregated with other projected features associated with prior images. Images depicting static objects in the birds-eye view are output.

Abstract: Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives an artifact version map that identifies versions of software artifacts for data center entities of the data center and a cloud platform independent master pipeline that includes instructions for performing operations related to services on the data center, for example, deploying software artifacts, provisioning computing resources, and so on. The system receives a deployment manifest that provides declarative specification of deployment strategies for deploying software artifacts in data centers. The system implements a deployment operator that executes on a cluster of computing systems of the cloud platform to implement the deployment strategies.

Abstract: A workflow construction system for constructing automation workflows that automate user specific processes. The workflow construction system may include a template library including workflow templates and pre-configured attributes. The workflow template can accelerate the design and construction of custom automation workflows. An orchestration layer included in the workflow construction system will also improve the performance of systems that execute the automation workflows by dynamically scaling the processing capacity, memory, and storage of servers and other systems hosting the model file instances of the automation workflows to ensure the available resources meet the demands of users completing processes using the automation workflows.

Abstract: Methods, endoscopic systems, and non-transitory, machine-readable storage media for adjusting an exposure of an endoscopic system are described. In an embodiment, the methods include emitting light with a light source into a proximal end of an endoscope light pipe; generating received light signals with a photodetector based on light received through the endoscope light pipe by the photodetector; displaying, with a display module, images based on the received light signals having a current image brightness; monitoring the received light signals for changes to the current image brightness; and adjusting a light source illuminance level, and in some embodiments a photodetector gain and exposure time, based on the current image brightness to maintain a target image brightness of the display module. In an embodiment, a brightness adjustment step size is less than a just-noticeable difference in brightness of an eye and is directly proportional to the current image brightness.

Abstract: A controller that is configured to control operation of a building component may be programmed using a programming tool to build a controller logic that utilizes sub-structures organized within a hierarchal tree, which may then be downloaded to the controller. The controller is operated via the controller logic such that the controller controls operation of the building component. The programming tool may subsequently be used to update one or more of the sub-structures. The one or more updated sub-structures may be downloaded to the controller while not downloading one or more of the sub-structures that were not updated. The method includes continuing to control operation of the building component using the controller logic that now includes the one or more updated sub-structures.

Abstract: During text-to-speech processing, a speech model creates synthesized speech that corresponds to input data. The speech model may include an encoder for encoding the input data into a context vector and a decoder for decoding the context vector into spectrogram data. The speech model may further include a voice decoder that receives vocal characteristic data representing a desired vocal characteristic of synthesized speech. The voice decoder may process the vocal characteristic data to determine configuration data, such as weights, for use by the speech decoder.

Abstract: Computing systems, for example, multi-tenant systems deploy software artifacts in data centers created in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system receives an artifact version map that identifies versions of software artifacts for data center entities of the data center and a cloud platform independent master pipeline that includes instructions for performing operations related to services on the data center, for example, deploying software artifacts, provisioning computing resources, and so on. The system receives a deployment manifest that provides declarative specification of deployment strategies for deploying software artifacts in data centers. The system implements a deployment operator that executes on a cluster of computing systems of the cloud platform to implement the deployment strategies.

Abstract: Arrangements for database schema creation and control are provided. In some aspects, a user may request creation or modification of a database schema. In response to receiving the request, one or more interactive user interfaces may be generated. The one or more interactive user interfaces may enable a user to select one or more selectable options for presenting data, establishing relationships between data, data sources, and the like. The schema, including a schema configuration including the presentational aspects and relationships, may be stored. A user may request to view data and the stored database schema may be retrieved. The schema may be transmitted to a configuration engine that may retrieve the requested data from one or more non-relational database sources. One or more user interfaces may be dynamically generated based on the schema configuration and may include the retrieved data.

Abstract: A device configured to receive a user input that identifies a machine learning model type and hyperparameters for a set of machine learning models and to generate the set of machine learning models based on the hyperparameters. The device is further configured to convert training data into a first set of hexadecimal values and to train the set of machine learning models using the first set of hexadecimal values. The device is further configured to convert test data into a second set of hexadecimal values and to obtain a classification value in response to inputting the second set of hexadecimal values into the set of machine learning models. The device is further configured to determine performance metrics for each machine learning model, to generate a model comparison report that comprises the performance metrics for each machine learning model, and to output the model comparison report.

Abstract: The disclosed technology provides a system and method for allocating resource blocks to a mobile device based on a traffic priority of wireless resources between the network and the mobile device. Traffic priority can be determined based on quality of service (QOS) identifiers or network slice identifiers. The highest priority users are allocated inner resource blocks with the lowest allowed maximum power reduction (MPR), the lowest priority users are allocated edge resource blocks with the highest allowed MPR, and the intermediate priority users are allocated outer resource blocks.

Abstract: A secure inference over Deep Neural Networks (DNNs) using secure two-party computation to perform privacy-preserving machine learning. The secure inference uses a particular type of comparison that can be used as a building block for various layers in the DNN including, for example, ReLU activations and divisions. The comparison securely computes a Boolean share of a bit representing whether input value x is less than input value y, where x is held by a user of the DNN, and where y is held by a provider of the DNN. Each party computing system parses their input into leaf strings of multiple bits. This is much more efficient than if the leaf strings were individual bits. Accordingly, the secure inference described herein is more readily adapted for using in complex DNNs.

Abstract: Disclosed herein are system, method, and computer program product embodiments for utilizing an extended cache to access an object store efficiently. An embodiment operates by executing a database transaction, thereby causing pages to be written from a buffer cache to an extended cache and to an object store. The embodiment determines a transaction type of the database transaction. The transaction type can a read-only transaction or an update transaction. The embodiment determines a phase of the database transaction based on the determined transaction type. The phase can be an execution phase or a commit phase. The embodiment then applies a caching policy to the extended cache for the evicted pages based on the determined transaction type of the database transaction and the determined phase of the database transaction.

Abstract: Techniques are described that enable users to configure the mirroring of network traffic sent to or received by computing resources associated with a virtual network of computing resources at a service provider network. The mirrored network traffic can be used for many different purposes including, for example, network traffic content inspection, forensic and threat analysis, network troubleshooting, data loss prevention, and the like. Users can configure such network traffic mirroring without the need to manually install and manage network capture agents or other such processes on each computing resource for which network traffic mirroring is desired. Users can cause mirrored network traffic to be stored at a storage service in the form of packet capture (or “pcap”) files, which can be used by any number of available out-of-band security and monitoring appliances including other user-specific monitoring tools and/or other services of the service provider network.