Abstract: The systems and methods may use one or more artificial intelligence models that predict an effect of a predicted event on a current state of the system. For example, the model may predict how a rate of change in time-series data may be altered throughout the first time period based on the predicted event. However, as noted above, correctly predicting the occurrence of outlier events (e.g., the predicted event), and in particular characteristics about the outlier events (e.g., when an outlier may occur, what may be a source of the outlier, what rate of change the outlier may cause, etc.), in data-sparse environments and based on time-series data presents a technical challenge.

Abstract: A sensor system includes a plurality of inertial measurement units (IMU) and a control circuit. The control circuit is configured to receive sensor data from each of the inertial measurement units two alignment the timestamps of the sensor data, and to fuse the sensor data from the various IMUs. The control circuit detects whether the sensor data indicates a high degree movement or a low degree of movement and selects a high dynamic fusion process or a low dynamic fusion process based on the detected degree of movement.

Abstract: A food bar, and a method for making the food bar. The food bar includes a crust, the crust having a binding agent including a sesame component, the sesame component including a combination of sesame powder and sesame paste. The food bar also includes a filling within the crust. The crust-to-filling weight ratio is about 1:1.

Abstract: A blood pressure monitoring device includes a patch including two inertial measurement units placed adjacent to the skin of a user. The blood pressure monitoring device includes a control unit coupled to the patch and configured to receive sensor data from the inertial measurement units. The control unit includes an analysis model trained with multiple machine learning processes to generate blood pressure estimations based on the sensor data. A first general machine learning process trains the analysis model with a training set gathered from plurality of other individuals. The second general machine learning process retrains a portion of the analysis model with a second machine learning process utilizing individualized training set gathered from the user.

Abstract: A method for privacy-preserving inventory matching may include: (1) receiving a plurality of axe submissions; (2) arranging the parties into data structures based on a direction in the party's axe submission; (3) sending each party's commitment to the other party; (4) receiving, from each party, output secret-shares of an arithmetized comparison circuit; (5) verifying that the output secret-shares of the arithmetized comparison circuit received from the parties match commitments to the output secret-shares sent by the respective opposite party; (6) identifying a minimal party based on the outputs of the arithmetized comparison circuit; (7) generating and sending a proof of the minimal party identification to the minimal party; (8) receiving a minimal quantity integer from the minimal party; (9) revealing the minimal quantity integer to the first party and the second party; and (10) executing the trade for the minimal quantity integer.

Abstract: Systems and methods for a multi-speed electric axle. The multi-speed electric axle includes an electric motor that is rotationally coupled to an input shaft. The multi-speed electric axle also includes a planetary gearset connected to the input shaft via an input gear reduction, a lower-speed clutch that selectively grounds a ring gear in the planetary gearset to a housing, and a higher-speed clutch that selectively connects a sun gear to a carrier.

Abstract: A gaming machine for picking up one object, and moving the object through a playing zone to a dispensing zone, the gaming machine includes a housing having at least one sidewall enclosing the playing zone and the dispensing zone, and a roof, said sidewall and roof being configured such that a standing zone is created below said roof outside the playing zone, a rail structure in the housing and extending in a first direction X, the rail structure being configured to move over said standing zone in a second direction Y, and a grabber attached to a carriage which is moveably attached to the rail structure, the carriage being configured to move along the rail structure, the grabber being configured to pick up the object.

Abstract: Disclosed are imprinting ink compositions for use in imprinting techniques such as SCIL. The imprinting ink compositions comprise TMO nanoparticles stabilized by selected polymerization inhibitors that allow for the formation of a stable imprinting ink composition in which polymerization of the TMO nanoparticles is effectively suppressed and from which high refractive index patterned layers can be formed. Imprinting methods using such imprinting ink compositions, optical devices including patterned layers formed from such imprinting ink compositions and lighting devices, optical sensors and photovoltaic devices including such optical elements are also disclosed.

Abstract: Repeated cycles each consist of a pump down phase and a holding phase, wherein a start timepoint of each cycle is the timepoint when a rise in an inlet pressure of the pump is sufficiently large and the time extending between two consecutive cycle start timepoints is a cycle time. A control method includes determining a start of a next cycle during a present cycle, wherein it is preferable that the present cycle directly precedes the next cycle. The method further includes controlling the pump to accelerate to a maximum allowed speed during the holding phase of the present cycle before the start of the next cycle such that at the start of the next cycle full pump capacity is available.

Abstract: An embodiment of the present invention relates to computer implemented methods and systems for receiving, by a model training device, a request for utilizing an adjustable management system by a user at a client device; wherein the client device is connected to the model training device over a network; sharing, by the model training device, an adjustable model management system comprising machine learning models and corresponding datasets in response to the received request to the client device; receiving an action from the client device, the action selected from a plurality of machine learning model services selected from the adjustable model management system; and executing an action by the model training device, to effect a change to a machine learning model saved into memory on the model training device, based on the received action.

Abstract: Systems and methods for automated code analysis and tagging are disclosed. In one embodiment, a method for automated code analysis and tagging may include: (1) receiving, by a code annotation computer program executed by a computer processor, a training code snippet from a training codebase; (2) parsing, by the code annotation computer program, the training code snippet into a data structure; (3) quantifying, by the code annotation computer program, the data structure, (4) parsing, by the code annotation computer program, a docstring associated with the training code snippet into a plurality of keywords; (5) quantifying, by the code annotation computer program, the plurality of keywords; and (6) training, by the code annotation computer program, a code annotation model based on a similarity between the quantified data structure and a smoothing parameter for a Dirichlet prior smoothing estimate.

Abstract: The present invention relates to a system (1010) for X-ray dark field, phase contrast and attenuation image acquisition, the system comprising: an X-ray source (1020); an interferometer arrangement (1030); an X-ray detector (1040); a control unit (1050); at least one vibration transducer (1080); a processing unit (1090); and an output unit (1060). An axis is defined extending from a centre of the X-ray source to a centre of the X-ray detector. An examination region is located between the X-ray source and the X-ray detector, wherein the axis extends through the examination region, and wherein the examination region is configured to enable location of an object to be examined. The interferometer arrangement is located between the X-ray source and the X-ray detector, and wherein the interferometer arrangement comprises a first grating (1032) and a second grating (1034).

Abstract: Lit image projection devices and lamp assemblies containing the same for generation of three dimensional images. A projection device of the present disclosure comprises one or more light sources, a rippled substrate defining a reflective surface, the reflective surface configured to reflect light source light from the one or more light sources as reflected light, and a first lenticular lens configured to receive the reflected light from the reflective surface, wherein the reflected light received by the first lenticular lens generates a three-dimensional lit image.

Abstract: Systems and methods for using a cryptogram lockbox are disclosed. In one embodiment, in a merchant-specific cryptogram lockbox comprising at least one computer processor, a method for generating a cryptogram locally using a cryptogram lockbox may include: (1) receiving, from merchant backend, a request for a cryptogram comprising an account identifier received from a customer in a transaction; (2) generating a cryptogram for the account identifier using a limited use key for the account identifier; and (3) returning the cryptogram to the merchant backend. The merchant may conduct the transaction using the cryptogram.

Abstract: A computer-implemented method includes receiving, from a mobile device, a deposit request including a first check image for funds to be deposited into a user account, determining a risk level associated with the deposit request, requesting a second check image having a restricted endorsement based on the risk level, receiving the second check image having the restricted endorsement, determining a confidence level based on the restricted endorsement, and transferring the funds to the user account based on the confidence level.

Abstract: A gravity based foundation for an offshore installation includes a caisson of concrete and a hollow shaft. The caisson has a bottom slab, a roof and a side wall extending between the bottom slab and the roof. The roof having a passage for the shaft into the caisson. The shaft support has embedded tensioning bars vertically projecting from the upper side of the shaft support. The shaft is mounted on the shaft support by the tensioning bars. A method of manufacturing includes providing a concrete bottom slab, arranging a full-length formwork onto the bottom slab, arranging a slip formwork onto the bottom slab, providing the tensioning bars and mounting the tensioning bars in a fixed position to the full-length formwork, and concrete pouring of the sidewall and shaft support while raising the slip formwork.

Abstract: Various examples described herein are directed to systems and methods for managing payments of a first merchant. A mobile wallet application may receive first payment element data describing a first payment element for making a first payment and may determine that the first payment element is to be processed by a limited payment network. The mobile wallet application may send a first payment authorization message to an issuer of the first payment element via the limited payment network. The mobile wallet application may also receive second payment element data describing a second payment element for making a second payment. The mobile wallet application may determine that the second payment element is not to be processed by the limited payment network, and send a second payment authorization message to an issuer of the second payment element via a second payment network.

Abstract: This invention provides, and in certain specific but non-limiting aspects relates to: assays that can be used to predict whether a given ISV will be subject to protein interference as described herein and/or give rise to an (aspecific) signal in such an assay (such as for example in an ADA immunoassay).

Abstract: Currently, there is interest in applying machine learning techniques to analyse digital pathology images automatically. Machine learning techniques often rely on training with a ground-truth image input. The quality and amount of training data determines the quality of the detector, as expressed in the rate of true and false positives, and robustness against variations in the appearance of the input images. The present application proposes to obtain image data of the same sample before and after at least one re-staining step (firstly with a structure-revealing stain, and secondly with a bio marker revealing stain). Sections of the first and second image data having a good registration relationship are chosen, along with the probability of detecting a desired candidate object (such as nucleus) and the probability of the bio marker revealing stain being present annotation data suitable for training a machine learning algorithm on the first and/or the second image data is provided.