Abstract: A system and method are provided for distinguishing biota, such as insect types, from overall images, images of their wings or of other body parts. The system and method exploit various techniques described herein, in combination with large scale capture of sample imagery to achieve a flexible mechanism for automated classification on biota of any type.

Abstract: A method and system is provided in an adaptive framework for modeling livestock growth. The adaptive framework processes input data relative to livestock growth in an ensemble of one or more models and an artificial intelligence layer configured to select the most appropriate or primary model to optimize, predict, and recommend livestock feed operations based upon environmental, physiological, location and time variables within such input data. The adaptive framework also optimizes workflow by pen and by producer, based upon historical performance, gender and breed and the management practices of the producer.

Abstract: A method for modeling agent awareness in an agent based model, the method including the steps of tracking a ratio of indicators for each agent and varying the ratio of indicators for an agent upon the occurrence of a triggering event for that agent. The method further includes using the ratio as a factor to model the agent's awareness.

Abstract: A system and method are disclosed for using vehicle signature data from a single inductive loop sensor to estimate vehicle speed. Two regressors are calculated from the vehicle signature: the “inverse of the duration” and the “slew rate”. A point is found by normalizing the vehicle signature in amplitude and determining the earliest point in the normalized signature to cross a set threshold. The slew rate is the slope of the normalized vehicle signature at this point. Regression models are generated from empirical data for several vehicle categories. Using the regression model for the category of vehicle and the two regressors vehicle speed is estimated. The regression models have been demonstrated to be robust eliminating the need for site-specific calibration or estimation.

Abstract: An efficient absorption spectroscopy system is provided. The spectroscopy system may be configured to measure solid, liquid or gaseous samples. Vacuum ultra-violet wavelengths may be utilized. Some of the disclosed techniques can be used for detecting the presence of trace concentrations of gaseous species. A preferable gas flow cell is disclosed. Some of the disclosed techniques may be used with a gas chromatography system so as to detect and identify species eluted from the column. Some of the disclosed techniques may be used in conjunction with an electrospray interface and a liquid chromatography system so as to detect and identify gas phase ions of macromolecules produced from solution. Some of the disclosed techniques may be used to characterize chemical reactions. Some of the disclosed techniques may be used in conjunction with an ultra short-path length sample cell to measure liquids.

Abstract: Aspects of the present disclosure provide a mechanism to directly interact and access with micro-services and/or services using natural-language and machine intelligence and algorithmic learning so that users may access desired micro-services and/or services with minimal interaction.

Abstract: Systems and methods generate a risk score for an account event. The systems and methods automatically generate a causal model corresponding to a user, wherein the model estimates components of the causal model using event parameters of a previous event undertaken by the user in an account of the user. The systems and methods predict expected behavior of the user during a next event in the account using the causal model. Predicting the expected behavior of the user includes generating expected event parameters of the next event. The systems and methods use a predictive fraud model to generate fraud event parameters. Generation of the fraud event parameters assumes a fraudster is conducting the next event, wherein the fraudster is any person other than the user. The systems and methods generate a risk score of the next event to indicate the relative likelihood the future event is performed by the user.

Abstract: System and method to produce an anonymized cohort having less than a predetermined risk of re-identification. The method includes receiving a data query of requested traits for the anonymized cohort, querying a data source to find records that possess at least some of the traits, forming a dataset from at least some of the records, and grouping the dataset in time into a first boundary group, a second boundary group, and one or more non-boundary groups temporally between the first boundary group and second boundary group. For each non-boundary group, calculating maximum time limits the non-boundary group can be time-shifted without overlapping an adjacent group, calculating a group jitter amount, capping the group jitter amount by the maximum time limits and by respective predetermined jitter limits, and jittering said non-boundary group by the capped group jitter amount to produce an anonymized dataset. Return the anonymized dataset.

Abstract: A platform for providing projections, predictions, and recommendations for casino and gaming environments. The platform leverages machine learning and cognitive computing. Through a natural language interface, the platform presents this information in a way which is natural and timely for casino operational executives to understand and act upon. The platform can optimize gaming machine performance casino floor performance based on various metrics that are predicted by the platform.

Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.

Abstract: Analysis of chemically samples using gas chromatography (GC) separation with vacuum ultra-violet spectroscopy detection is described. One technique focuses on assigning a specific analysis methodology to each constituent in a sample. Constituents can elute from the GC by themselves or with other constituents, in which case a deconvolution is done using VUV spectroscopic data. In an exemplary embodiment, each constituent may be specifically included in an analysis method during a setup procedure, after which the same series of analyses are done on subsequent sample runs. The second approach essentially integrates an entire chromatogram by first reducing it into a series of analysis windows, or time slices, that are analyzed automatically. The analysis at each time slice determines the molecular constituents that are present as well as their contributions to the total response. Either approach can be used to quantify specific analytes or to do bulk classification.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: The present invention discloses numerous implementations of system and method which receives a user request and, using methods of natural language processing including part of speech tagging, analyses the user request to generate a query to a database of information. Based on the machine understanding, the system presents an interactive representation of the uttered request back to the user. This provides context to the user, which explains the machine understanding of the request and acts as an interface to iteratively refine or adjust the machine understanding by altering specific elements of the uttered language. The methods of altering specific elements of the uttered language may vary depending on the element and a variety of user selectable interfaces may be used to display one or more queried elements along with alternative elements pertaining to the queried element. The user could select an alternative element and change the database query.

Abstract: Systems and methods comprise a platform including a processor coupled to a database. Risk engines are coupled to the platform and receive event data and risk data from data sources. The event data comprises data of actions taken in a target account during electronic access of the account, and the risk data comprises data of actions taken in a accounts different from the target account. The risk engines, using the event data and the risk data, dynamically generate an account model that corresponds to the target account, and use the account model to generate a risk score. The risk score represents a relative likelihood an action taken in the target account is fraud. A risk application coupled to the platform includes an analytical user interface that displays for the actions in the target account at least one of the risk score and event data of any event in the account.

Abstract: Arrangements described herein relate to a headset system and a method to manufacturing the headset system, the headset system including a headset configured to lay on top of a surface and to support a head of a subject when the subject is in a supine position or a reclined position, at least one probe adjustment mechanism, and a probe coupled to the at least one probe adjustment mechanism and configured to emit acoustic energy.

Abstract: The invention relates to systems and methods for diagnosing strokes. In particular, systems and methods for acquiring timely patient status information are described that enable a physician to make diagnostic and treatment decisions relating to strokes. The systems and methods enable the efficient and quantitative assessment of arterial collaterals within the brain for aiding these decisions in the case of ischemic strokes.

Abstract: Arrangements described herein relate to systems, apparatuses, and methods for a head cradle pad configured to be affixed to a head cradle of a medical device, the head cradle pad includes a first section corresponding to a shape of a top portion of the head cradle, a second section corresponding to a shape of a bottom portion of the head cradle, and a center connection portion connecting the first section and the second section. The first section and the second section are shaped to form spatial gaps when the head cradle pad is in a flat state when the head cradle pad is un-affixed to the head cradle. The first section and the second section are shaped to eliminate the spatial gaps when the head cradle pad is affixed to the concave surface of the head cradle.

Abstract: A system for use with a system for providing predictive discovery data services to a user comprising processor means providing enhanced data reflecting one or more of: refined proximity boundaries around areas of user interest; analysis of time of a user device location relative to proximity boundaries; assessment of location of user attendance in and allowing selected user access to the enhanced data.

Abstract: A method for modeling agent awareness in an agent based model, the method including the steps of tracking a ratio of indicators for each agent and varying the ratio of indicators for an agent upon the occurrence of a triggering event for that agent. The method further includes using the ratio as a factor to model the agent's awareness.

Abstract: A system and method for identifying mobile users in a site includes: receiving, in real time, data packets from wireless access points; identifying unique device identifications from the received data packets, and time stamping each identified unique device identification; determining repetitive or false unique device identifications in the identified unique device identification; and eliminating the repetitive or false unique device identifications in the identified unique device identification to obtain a plurality of accurate unique device identifications.