Abstract: The present disclosure relates to techniques for developing artificial intelligence algorithms by distributing analytics to multiple sources of privacy protected, harmonized data. Particularly, aspects are directed to a computer implemented method that includes receiving an algorithm and input data requirements associated with the algorithm, identifying data assets as being available from a data host based on the input data requirements, curating the data assets within a data storage structure that is within infrastructure of the data host, and integrating the algorithm into a secure capsule computing framework. The secure capsule computing framework serves the algorithm to the data assets within the data storage structure in a secure manner that preserves privacy of the data assets and the algorithm. The computer implemented method further includes running the data assets through the algorithm to obtain an inference.

Abstract: The present disclosure relates to techniques for developing artificial intelligence algorithms by distributing analytics to multiple sources of privacy protected, harmonized data. Particularly, aspects are directed to a computer implemented method that includes receiving an algorithm and input data requirements associated with the algorithm, identifying data assets as being available from a data host based on the input data requirements, curating the data assets within a data storage structure that is within infrastructure of the data host, and integrating the algorithm into a secure capsule computing framework. The secure capsule computing framework serves the algorithm to the data assets within the data storage structure in a secure manner that preserves privacy of the data assets and the algorithm. The computer implemented method further includes running the data assets through the algorithm to obtain an inference.

Abstract: Systems and methods for representing images with palettes are disclosed. The system may include a processor, a memory communicatively coupled to the processor, and an image to palette representation logic. The image to palette representation logic can receive an image, and identify objects in the image. The image to palette representation logic can further determine colors for each identified object, and identify areas of each object that comprise each color. The image to palette representation logic can also calculate areas comprising each color, and generate a palette based on the calculated overall areas. The image to palette representation logic can further calculate a vector associated with the image based on a vector summation of the overall areas and calculate a vector summation for the generated palette. Finally, the image to palette representation logic can store the palette if a closeness ratio associated with the palette is larger than a threshold.

Abstract: Systems and methods for representing phrases with palettes are disclosed. The system may include a processor, a memory communicatively coupled to the processor, and a logic. The logic can receive a phrase, generate a set of vectors associated with each identified words in the phrase, calculate a first overall vector associated with the received phrase based on a vector summation of the generated set of vectors, generate a palette for a set of colors including a predefined number of colors, and calculate a second overall vector associated with the palette based on a vector summation of the set of colors. The logic can further store the generated palette in response to a determination that a closeness ratio associated with the generated palette is larger than a predetermined threshold. The closeness ratio is defined as an inverse of a difference between the calculated overall vectors.

Abstract: A device to represent an image with a palette is disclosed. The device includes a processor, a memory communicatively coupled to the processor, and a logic. The logic includes a neural network to receive an input data to generate prediction data. The neural network includes a multi-step convolution pathway including a plurality of convolution steps, and a multi-step upsampling pathway including a plurality of upsampling steps. The plurality of upsampling steps includes an input to receive output data from a corresponding convolution pathway step. In response to receiving the input data, feature map output data is generated at the plurality of convolution steps, and at least one step of the plurality of upsampling steps utilizes at least the generated feature map data to generate prediction data. The neural network extracts one or more features from the input data, and generate the prediction data based on the one or more features.

Abstract: Embodiments of a battery-powered device are sealed in an enclosure and include a photovoltaic device that converts light to an electrical signal. The device uses the electrical signal to activate the controller and transition the device from a shelf mode to an active mode. The enclosure includes a transparent portion in line-of-sight of the photovoltaic device. The transparent portion passes external optical signals to the photovoltaic device within the enclosure. The transparent portion may be obstructed by a removable, opaque label to prevent accidental product activation. In some embodiments, after the device transitions from the shelf mode to the active mode, the controller configures a general-purpose input-output terminal as an output to maintain the active level of the activation signal, thereby maintaining the device in the active mode. In at least one embodiment, after activating the device, the controller uses the activation signal to return the device to shelf mode.

Abstract: A temperature probe for a cooktop appliance includes a probe body and a temperature sensor extending from the probe body. The temperature probe also includes a first arm and a second arm configured to mount on a cooking utensil. The temperature probe further comprises a controller configured to communicate with a controller of the cooktop appliance and to transmit a signal to the controller of the cooktop appliance corresponding to a size of the cooking utensil.

Abstract: The present disclosure relates to techniques for developing artificial intelligence algorithms by distributing analytics to multiple sources of privacy protected, harmonized data. Particularly, aspects are directed to a computer implemented method that includes receiving an algorithm and input data requirements associated with the algorithm, identifying data assets as being available from a data host based on the input data requirements, curating the data assets within a data storage structure that is within infrastructure of the data host, and integrating the algorithm into a secure capsule computing framework. The secure capsule computing framework serves the algorithm to the data assets within the data storage structure in a secure manner that preserves privacy of the data assets and the algorithm. The computer implemented method further includes running the data assets through the algorithm to obtain an inference.

Abstract: The present disclosure relates to techniques for developing artificial intelligence algorithms by distributing analytics to multiple sources of privacy protected, harmonized data. Particularly, aspects are directed to a computer implemented method that includes receiving an algorithm and input data requirements associated with the algorithm, identifying data assets as being available from a data host based on the input data requirements, curating the data assets within a data storage structure that is within infrastructure of the data host, and integrating the algorithm into a secure capsule computing framework. The secure capsule computing framework serves the algorithm to the data assets within the data storage structure in a secure manner that preserves privacy of the data assets and the algorithm. The computer implemented method further includes running the data assets through the algorithm to obtain an inference.

Abstract: The present disclosure relates to techniques for developing artificial intelligence algorithms by distributing analytics to multiple sources of privacy protected, harmonized data. Particularly, aspects are directed to a computer implemented method that includes receiving an algorithm and input data requirements associated with the algorithm, identifying data assets as being available from a data host based on the input data requirements, curating the data assets within a data storage structure that is within infrastructure of the data host, and integrating the algorithm into a secure capsule computing framework. The secure capsule computing framework serves the algorithm to the data assets within the data storage structure in a secure manner that preserves privacy of the data assets and the algorithm. The computer implemented method further includes running the data assets through the algorithm to obtain an inference.

Abstract: The present disclosure relates to techniques for developing artificial intelligence algorithms by distributing analytics to multiple sources of privacy protected, harmonized data. Particularly, aspects are directed to a computer implemented method that includes receiving an algorithm and input data requirements associated with the algorithm, identifying data assets as being available from a data host based on the input data requirements, curating the data assets within a data storage structure that is within infrastructure of the data host, and integrating the algorithm into a secure capsule computing framework. The secure capsule computing framework serves the algorithm to the data assets within the data storage structure in a secure manner that preserves privacy of the data assets and the algorithm. The computer implemented method further includes running the data assets through the algorithm to obtain an inference.

Abstract: Provided are systems and methods for analyzing sonograms of abdomen to identify presence or absence of free fluid in the abdomen. The systems and methods are useful for performing or assisting with point of care diagnosis of presence of internal bleeding in trauma patients without requiring input from a radiologist or another clinician trained to analyze sonograms for presence or absence of free fluid. Also provided are methods and system for training a medical imaging system for analyzing sonograms of abdomen to identify presence or absence of free fluid in the abdomen.

Abstract: A wet cleaning device, in particular a wet wiping device, has a cleaning roller which is rotatable about a roller axis and has a cleaning lining. In order to create a wet cleaning device in which the regeneration effect is optimized, in particular while using a minimum of liquid, the wet cleaning device has a decelerating element to assist the removal of liquid and/or of dirt from the cleaning roller, which element has an impact edge directed radially outwards with respect to the roller axis and is arranged between fibers of the cleaning lining during a regeneration operation in such a way that the free ends of the mechanically unloaded fibers project outwards in the radial direction beyond the impact edge.

Abstract: Induction cooktops and operational methods are provided herein. A method of determining material composition of cookware on an induction cooktop can include determining that a piece of cookware is on the induction cooktop, inducing a current within the piece of cookware with an induction coil of the induction cooktop, and obtaining a peak induction coil current, a smoothed input line current, and a phase shift of current flowing in the induction coil. The method can further include comparing the peak induction coil current, the smoothed input line current, and the phase shift each to a set of predetermined ranges, and determining candidate material compositions for the cookware based on the comparing of each of the peak induction coil current, the smoothed input line current, and the phase shift.

Abstract: A method of operating a cooktop appliance includes inputting a temperature measurement and a set temperature into a closed-loop control algorithm. When the output of the closed-loop control algorithm is less than a power level threshold, a first control valve to a gas burner of the cooktop appliance is closed.

Abstract: A temperature probe for a cooktop appliance includes a probe body and a temperature sensor extending from the probe body. The temperature probe also includes a first arm and a second arm configured to mount on a cooking utensil. The temperature probe further comprises a controller configured to communicate with a controller of the cooktop appliance and to transmit a signal to the controller of the cooktop appliance corresponding to a size of the cooking utensil.

Abstract: A method of operating a cooktop appliance includes inputting a temperature measurement and a set temperature into a closed-loop control algorithm. When the output of the closed-loop control algorithm is less than a power level threshold, a first control valve to a gas burner of the cooktop appliance is closed.

Abstract: A sweeping brush for an automatically moving cleaning device has a rotational axis receptacle for receiving a rotational axis of the cleaning device and at least one bundle receptacle that extends outwardly from a transition area on the rotational axis receptacle, which holds a bristle bundle having a plurality of bristles. The bundle receptacle is arched as viewed in an axial direction of the rotational axis receptacle. In order to optimize known sweeping brushes in terms of their service life and cleaning properties, the bundle receptacle is fabricated out of an elastic material.

Abstract: Induction cooktops and operational methods are provided herein. A method of determining material composition of cookware on an induction cooktop can include determining that a piece of cookware is on the induction cooktop, inducing a current within the piece of cookware with an induction coil of the induction cooktop, and obtaining a peak induction coil current, a smoothed input line current, and a phase shift of current flowing in the induction coil. The method can further include comparing the peak induction coil current, the smoothed input line current, and the phase shift each to a set of predetermined ranges, and determining candidate material compositions for the cookware based on the comparing of each of the peak induction coil current, the smoothed input line current, and the phase shift.

Abstract: An automatically moving floor processing device has a housing, at least one drive element that is driven by an electric motor and can rotate around a drive axle for movement purposes, and at least one contact element that moves ahead of the drive element in the direction of movement, which extends from a housing underside of the housing in the direction of a surface to be processed. In order to make it easier to overcome obstacles, a contact surface of the contact element pointing in the direction of movement and/or a connecting line that connects the contact surfaces of two contact elements be oriented nonparallel to the drive axle of the drive element, and be spaced apart from a contact surface of the drive element by a distance relative to the direction of movement that is less than one diameter of the drive element.