Abstract: A method may include determining, by a computing device and based on at least one user coherency factor, a user coherency level. The coherency level may include a predicted ability of a user to comprehend information. The method may also include determining, by the computing device and based on the user coherency level, information having a complexity that satisfies the predicted ability of the user to comprehend information. The method may further include outputting, by the computing device, at least a portion of the information.

Abstract: A method for manufacturing a cold-forged, extruded aluminum alloy tube includes the steps of: providing a primary material having a hollow columnar shape and made of an aluminum alloy material, and a first cold extrusion apparatus; processing the primary material to form a preform; subjecting the preform to a homogeneous annealing by heating to a temperature of about 410° C. to 510° C. and then cooling to a temperature of about 160° C. to 200° C.; testing the hardness of the preform; immersing the preform in a tank containing lubricant having a total acidity concentration of 40 to 50 mg/L at a working temperature of 80° C. to 100° C.; and subjecting the preform to cold extrusion.

Abstract: Disclosed is a system and method to automatically identify property-related risks through the use of computer vision, sensors, and/or building information models (BIMs). The ability to automatically identify a variety of hazards helps mitigate the associated risks, and thus reduces the number of accidents or fatalities that would otherwise occur. In some embodiments, a “risk map” can be generated by mapping the identified risks for a given property.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for processing a transaction. In one embodiment, a system is introduced that enables a communication between applications. The communication occurs through the use of one or more gestures that enable the request for information, funds, items for purchase and the like. In another embodiment, a system if introduced that enables a unified multi-marketplace communication. The communication includes the use of gestures for the transfer of information, funds, items for purchase, discounts, etc., using a unifying entity. The unifying entity can be a financial institution, payment provider, or the like that may be used to carry a transaction between applications allowing for a single checkout.

Abstract: The described technology displays, at a GUI, a graph of one or more financial curves having one or more actionable indicators indicative of one or more tradable events associated with modeling and/or trading at least one market asset or financial instrument at a financial marketplace. The one or more indicators display a current real-time market value of a tradable event associated with the market asset or financial instrument. Input is received at the GUI from a trader to perform an action associated with the financial curve. In response to receiving the input, the action is initiated and the results are displayed at the GUI.

Abstract: Embodiments relate to system for automatically predicting payer response to claims. In an embodiment, the system receives claim data associated with a claim. The system identifies a set of claim features of the claim data, and generates an input vector with at least a portion of the set of claim features. The system applies the input vector to a trained model. A first portion of the neural network is configured to generate an embedding representing the input vector with a lower dimensionality than the input vector. A second portion of the neural network is configured to generate a prediction of whether the claim will be denied based on the embedding. The system provides the prediction for display on a user interface of a user device. The prediction may further include denial reason codes and a response date estimation to indicate if, when, and why a claim will be denied.

Abstract: A system for training a learning machine accesses a training database of reference metadata that describes reference plans that include reference first-type plans and reference second-type plans. Such plans may be travel plans or other plans. The system trains the learning machine to distinguish candidate first-type plans from candidate second-type plans. The training of the learning machine is based on a set of decision trees generated from randomly selected subsets of the reference metadata, and the randomly selected subsets each describe a corresponding randomly selected portion of the reference plans. The system then modifies the trained learning machine based on asymmetrical penalties for incorrectly distinguishing candidate first-type plans from candidate second-type plans. The system then provides the modified learning machine for run-time use in classifying plans.

Abstract: A computer-implemented method comprises linking a private AI model to a public AI model to thereby form a combined AI model comprising the private AI model and the public AI model; and training the combined AI model with private samples while keeping the public AI model fixed so that only the private AI model is trained with the private samples.

Abstract: The invention relates to implementing rules based authentication for credit card transactions. The system and method may involve: receiving a transaction request associated with a card product from a user at a point of sale system; determining an authorization mode for the transaction request based on one or more transaction attributes; executing an authentication rule for the transaction request; transmitting an authentication request via the authorization mode based on the authentication rule; requiring an authorization input from the user responsive to the authentication request; and upon receiving a proper authentication input, verifying the user and proceeding with the transaction request.

Abstract: Systems and methods are provided for processing a group of essays to develop a classifier that detects nonsensical computer-generated essays. A data structure associated with a group of essays is accessed, wherein the group of essays includes nonsensical computer-generated essays and good-faith essays. Both the nonsensical computer-generated essays and the good-faith essays are assigned feature values. The distribution of feature values between the nonsensical computer-generated essays and the good-faith essays is measured. A classifier that detects whether an essay is a nonsensical computer-generated essay is developed, wherein the classifier is developed using the distribution of feature values.

Abstract: Eye gaze measurements are used to give input to a surgical robotic system. Eye tracking input is enhanced using a pair of eye trackers positioned to track the gaze of a user observing an endoscopic image on a display. At least one of the eye trackers is moveable relative to the display in a horizontal and/or vertical direction relative to the image display.

Abstract: A distributed computing system facilitates automatic loan agreements between syndicate participants. The system includes a blockchain comprising circuitry embodying a plurality of blockchain services. A membership service registers participants to the syndicate, generates a unique identifier for each of the participants, and verifies that a respective entity is a node on the blockchain. An oracle service retrievably stores loan terms templates provided by the participants via a centrally managed entity. A smart contracts service receives financial and/or geo-location data associated with the plurality of syndicate participants. A predictive analytics service uses the data to determine whether a first syndicate participant has an excess of funds and whether a second syndicate participant has a lack of funds. A loan service automatically facilitates a loan agreement between the first participant and the second participant.

Abstract: A system and method for audio combination and playback which replicates the sounds made by a crowd gathered together in one place.

Abstract: A network computing system to provide an account management service for guiding user actions and providing users with information to facilitate decision making. In providing the account management services, the network computer system makes predictive determinations about the actions of service providers, in connection with specific actions of individual users.