Abstract: A method for monitoring performance of a ML system includes receiving a data stream via a processor and generating a first plurality of metrics based on the data stream. The processor also generates input data based on the data stream, and sends the input data to a machine learning (ML) model for generation of intermediate output and model output based on the input data. The processor also generates a second plurality of metrics based on the intermediate output, and a third plurality of metrics based on the model output. An alert is generated based on at least one of the first plurality of metrics, the second plurality of metrics, or the third plurality of metrics, and a signal representing the alert is sent for display to a user via an interface.

Abstract: Techniques are disclosed to optimize feature selection in generating betas for a feature dictionary of a neuro-linguistic Cognitive AI System. A machine learning engine receives a sample vector of input data to be analyzed by the neuro-linguistic Cognitive AI System. The neuro-linguistic Cognitive AI System is configured to generate multiple betas for each of a plurality of sensors. The machine learning engine identifies a sensor specified in the sample vector and selects optimization parameters for generating betas based on the identified sensor.

Abstract: Described herein are methods and systems for obtaining high-quality images, which may be suitable for various applications such as training and operating artificial intelligence (AI) systems. Specifically, a system may comprise multiple cameras and one or more actuators that are capable of moving these cameras relative to each other. For example, these cameras may form one or more stereo pairs, each pair having its stereo axis. The actuators can change baselines in these pairs and/or tilt these stereo axes relative to the imaged objects to address possible self-similarity issues associated with the shape of these objects and their orientation relative to the cameras. In some examples, the simultaneous images captured by these cameras are used to construct a three-dimensional (3D) model. The fidelity of this model is then used to determine the position of the cameras (as a camera unit or individually for each camera).

Abstract: Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.

Abstract: An optoelectronic device (20, 50) includes a planar substrate (30), an optical bus (40, 82, 84, 96, 140, 150, 180, 182, 224) disposed on the substrate and configured to convey coherent radiation through the bus, and an array (32, 72) of sensing cells (34, 74, 90, 160, 170, 200, 212, 380) disposed on the substrate. Each sensing cell includes at least one tap (92, 94, 144, 146, 226, 228) coupled to extract a portion of the coherent radiation propagating through the optical bus, an optical transducer (36, 108, 162, 172, 202, 204, 214) configured to couple optical radiation between the sensing cell and a target external to the substrate, and a receiver (114, 174, 178, 216, 218), which is coupled to mix the coherent radiation extracted by the tap with the optical radiation received by the optical transducer and to output an electrical signal responsively to the mixed radiation.

Abstract: A virtual assistant server receives a selection of at least two versions of a virtual assistant for comparison from a client device and compares metadata corresponding to each component of the at least two versions. The virtual assistant server presents to the client device, based on the compared metadata, a list of components of the at least two versions and a type of change made to one or more components of the list of components. The virtual assistant server receives from the client device, a selection corresponding to the one or more components of the list of components and presents to the client device, a comparison of definitions of the at least two versions of the selected one or more components of the list of components.

Abstract: A system for processing and presenting a conversation includes a sensor, a processor, and a presenter. The sensor is configured to capture an audio-form conversation. The processor is configured to automatically transform the audio-form conversation into a transformed conversation. The transformed conversation includes a synchronized text, wherein the synchronized text is synchronized with the audio-form conversation. The presenter is configured to present the transformed conversation including the synchronized text and the audio-form conversation. The presenter is further configured to present the transformed conversation to be navigable, searchable, assignable, editable, and shareable.

Abstract: Computer-based natural language understanding of input and output for a computer interlocutor is improved using a method of classifying conversation segments from transcribed conversations. The improvement includes one or more methods of splitting transcribed conversations into groups related to a conversation ontology using metadata; identifying dominant paths of conversational behavior by counting the frequency of occurrences of the behavior for a given path; creating a conversation model comprising conversation behaviors, metadata, and dominant paths; and using the conversation model to assign a probability score for a matched input to the computer interlocutor or a generated output from the computer interlocutor.

Abstract: The present invention provides a data transmission device and method thereof. A data transmission system includes: an electric device generating an input message; a Natural Language Processing (NLP) engine connected to the electric device, receiving the input message, and judging whether an output message corresponding to the input message is available on a real-time basis or on a non-real-time basis; a plurality of third-party servers; a service cloud framework connected to one of the NLP engine, the electric device, and the plurality of third-party servers to obtain a real-time information; and a buffer cloud framework connected to one of the NLP engine, the electric device and the plurality of third-party servers, proactively downloading at least one updated data from the plurality of third-party servers once in a predetermined period of time, automatically saving the at least one updated data therein, and obtaining a non-real-time information therefrom.

Abstract: Systems and methods to translate a spoken command to a selection sequence are disclosed. Exemplary implementations may: obtain audio information representing sounds captured by a client computing platform; analyze the sounds to determine spoken terms; determine whether the spoken terms include one or more of the terms that are correlated with the commands; responsive to determining that the spoken terms are terms that are correlated with a particular command stored in the electronic storage, perform a set of operations that correspond to the particular command; responsive to determine that the spoken terms are not the terms correlated with the commands stored in the electronic storage, determining a selection sequence that causes a result subsequent to the analysis of the sounds; correlate the spoken terms with the selection sequence; store the correlation of the spoken terms with the selection sequence; and perform the selection sequence to cause the result.

Abstract: The present disclosure relates to methods, systems, and storage media for detecting events based on updates to node profiles from electronic activities. Exemplary implementations may access an electronic activity transmitted or received via an electronic account associated with a data source provider; generate a plurality of activity field-value pairs; maintain a plurality of node profiles; identify a first state of a first node profile of the plurality of node profiles; update the first node profile using the electronic activity; identify a second state of the first node profile subsequent to updating the first node profile using the electronic activity; detect a state change of the first node profile based on the first state and the second state; determine that the state change satisfies an event condition; and store an association between the first node profile and an event type corresponding to the event condition.

Abstract: This invention relates to systems and methods for processing and visualizing data related to trading strategies for exchange-traded equities based upon real-time options data.

Abstract: In variants, the AI/ML development system can include one or more applications, wherein each application can include: one or more components and one or more state storages. Each application can optionally include one or more event loops, one or more shared storages, and/or one or more time schedulers.

Abstract: Systems and methods of predicting future medical events are based on the processing of medical image. The prediction of premature birth and estimation of gestational age based on ultrasound images are presented as illustrative examples. The new abilities to estimate the probability of future medical events, before they otherwise could be predicted, provides new avenues for the development of preventative treatments.

Abstract: A device for generating a speech video according to an embodiment has one or more processor and a memory storing one or more programs executable by the one or more processors, and the device includes a video part generator configured to receive a person background image of a person and generate a video part of a speech video of the person; and an audio part generator configured to receive text, generate an audio part of the speech video of the person, and provide speech-related information occurring during the generation of the audio part to the video part generator.

Abstract: Disclosed is an improved method, system, and computer program product for identifying malicious payloads. The disclosed approach identifies potentially malicious payload exchanges which may be associated with payload injection or root-kit magic key usage.

Abstract: Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.

Abstract: One or more structural equations modeling a physical process over time may be sampled using simulated parameter values to generate input data signal values. A noise generator may be applied to the input data signal values to generate noise values. The noise values and the input data signal values may be combined to determined noisy data signal values. These noisy data signal values may in turn be used in combination with one or more states to train a prediction model.

Abstract: Embodiments presented herein describe a method for processing streams of data of one or more networked computer systems. According to one embodiment of the present disclosure, an ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network is received. A neuro-linguistic model of the information security data is generated by clustering the ordered stream of vectors and assigning a letter to each cluster, outputting an ordered sequence of letters based on a mapping of the ordered stream of normalized vectors to the clusters, building a dictionary of words from of the ordered output of letters, outputting an ordered stream of words based on the ordered output of letters, and generating a plurality of phrases based on the ordered output of words.

Abstract: A computing device according to an embodiment is a computing device that is provided with one or more processors and a memory storing one or more programs executed by the one or more processors, the computing device includes a standby state video generating module that generates a standby state video in which a person in a video is in a standby state, a speech state video generating module that generates a speech state video in which a person in a video is in a speech state based on a source of speech content, and a video reproducing module that reproduces the standby state video, and generates a synthesized speech video by synthesizing the standby state video being reproduced and the speech state video.