Abstract: A method for docking a tablet computer to a tablet computer case includes magnetically coupling a first pivot magnet of the tablet computer case to a second pivot magnet of the tablet computer, pivoting the tablet computer toward the tablet computer case, and magnetically coupling a first plurality of docking magnets of the tablet computer case to a second plurality of docking magnets of the tablet computer. The first pivot magnet magnetically couples to the second pivot magnet prior to the first plurality of docking magnets magnetically coupling to the second plurality of docking magnets. A tablet computer case system includes a tablet computer case including a first portion and a second portion. The tablet computer case includes a first plurality of docking magnets arranged on the first portion and a first pivot magnet arranged along a perimeter of the first portion opposite the hinge.

Abstract: A system and a method for a navigation system for a visually impaired user includes a navigation module arranged to derive a navigational path from a starting position to a predetermined destination; a guiding vehicle arranged to guide the visually impaired user towards the predetermined destination based on the derived navigational path whereby the movement is arranged to indicate a navigation guidance to the visually impaired user; wherein the navigation module is further arranged to adjust the navigational path of the guiding vehicle in response to the detection of an obstacle during the navigation of the guiding vehicle so as to avoid the detected obstacle whilst following the navigational path.

Abstract: Disclosed are systems and methods for generating realistic defective data samples. An example system for generating realistic defective data samples includes a scenario generator unit configured to generate defect scenario data. The example system includes a prompt generator unit configured to generate prompts based on the defect scenario data. The example system includes a simulator unit configured to generate simulation data based on the defect scenario data and digital twins data. The example system includes a digital twins data bank unit configured to store digital representations of real-world entities and a generative machine learning unit configured to generate a realistic defective data sample based on the simulation data and the prompts.

Abstract: There is disclosed a novel system and method for decentralized digital structured data storage, management, and authentication. In an embodiment, the present system comprises pieces of digital structured data (including but not limited to, digital images, digital videos, digital audio, digital text, and digital computational graph representations), computer nodes for storing pieces of digital structured data and for creating references to portions of stored pieces of digital structured data, a network connecting the computer nodes, and a blockchain. In an embodiment, a piece of digital structured data is stored on a computer node, and the computer node creates a reference to a portion of the stored piece of digital structured data. The computer node then broadcasts a request for the reference to be added to the blockchain to all computer nodes through a network connecting all computer nodes.

Abstract: Aspects relating to a method and apparatus for venting a heater tank of a beverage forming apparatus using a vent valve that is opened and closed based on an operation to move a brew chamber lid between an open lid position and a closed lid position are provided. In one aspect, the vent valve may be positioned on a vent line distinct from a delivery line that delivers heated liquid from the heater tank to the brew chamber. In another aspect, at least a portion of the delivery line may extend downwardly from the top of the heater tank to a location between the top and the bottom of the heater tank. In another aspect, the at least a portion of the vent valve may be attached to the handle for movement with the handle.

Abstract: A method and apparatus for venting a liquid supply of a beverage machine, e.g., by permanently open orifice and/or pressure relief valve. The orifice may always vent a heater tank, even while liquid is delivered to the tank by a liquid pump and/or while the tank is pressurized by an air pump to deliver liquid from the tank. A filter may be positioned between a heater tank and orifice and/or air pump. The pressure relief valve may be positioned between the liquid pump and the inlet side of the heater tank, e.g., so relatively cool water is released by the pressure relief valve when open.

Abstract: A highly rigid tetradentate ligand is combined with a gold(III) ion as a thermally stable tetradentate gold(III) complex. The tetradentate gold(III) complex is a tetradentate gold(III) compound that can be used as a light-emitting material which can be used for fabricated of light-emitting devices such as an organic light-emitting diode (OLED). The tetradentate gold(III) compound can be deposited as a layer or a component of a layer using a solution-process or a vacuum deposition process. The luminescent tetradentate gold(III) compounds are robust and can provide electroluminescence (EL) with a high efficiency and brightness.

Abstract: Systems, devices and methods are provided for building learning machines using learning machines. The system generally includes a reference learning machine, a target learning machine being built, a component analyzer module configured to analyze inputs from the reference learning machine, the target learning machine, a set of test signals, and a list of components in the reference learning machine and the target learning machine, and return a set of output values for each component on the list of components. The system further includes a component tuner module configured to modify different components in the target learning machine based on the set of output values and a component mapping, thereby resulting in a tuned learning machine.

Abstract: A method and apparatus for venting a liquid supply of a beverage machine, e.g., by permanently open orifice and/or pressure relief valve. The orifice may always vent a heater tank, even while liquid is delivered to the tank by a liquid pump and/or while the tank is pressurized by an air pump to deliver liquid from the tank. A filter may be positioned between a heater tank and orifice and/or air pump. The pressure relief valve may be positioned between the liquid pump and the inlet side of the heater tank, e.g., so relatively cool water is released by the pressure relief valve when open.

Abstract: A method for automatically computing the position and score for each dart on a dartboard using a single image of the dart and dartboard captured from any camera angle. A computing device with at least one connected camera captures an image of a dartboard. The computing device performs various image processing tasks and computes the landing position of each dart present in the image and the positions of multiple dartboard calibration points. The dartboard calibration points are used to compute a transformation matrix that transforms the detected points in the image plane to corresponding points in the dartboard plane. The score of each dart is computed based on the relative positioning of the transformed points in the dartboard plane. The method may be used to perform automatic scorekeeping in a variety of different dart games, either in a single location or in remote locations.

Abstract: A beverage machine may have a first brew chamber for forming larger, multi-serving beverages, and a second brew chamber for receiving beverage cartridges to form single-serve beverages. Aspects relating to relative positioning of the brew chambers and associated components are described herein. The beverage machine may include a user interface that displays different selection options based on which of the two brew chambers is being used to form a beverage. The beverage machine may include a handle that may be manipulated by a user to both open a brew chamber and to remove a brew basket from the brew chamber. The beverage machine may include a liquid reservoir that removably couples to the machine housing at different discrete positions. The beverage machine may include a liquid supply lid that may be removably coupled to the housing.

Abstract: The technology disclosed herein provides a system for generating a personal unclonable function (PUF) for a user based on a biometric data related to the user. Implementations of the system include a camera to generate a partial image of a user's tongue, a sensor to generate a moisture level in the user's saliva, a PUF generator configured to generate a PUF benchmark of the user based on combination of the partial image of a user's tongue and the moisture level in the user's saliva, and an access control unit configured to control access to one or more user devices based on the PUF benchmark.

Abstract: The technology disclosed herein provides a system for allowing users to login into one or more devices without a password. Implementations of the system include one or more biometric data collection devices (shoe, glasses, watch) and a device configured to store one or more user identification data, receive a request for user verification, request user's biometric data from one or more of the biometric data collection devices, generate a personal unclonable function (PUF) value based on combination of at least one of the user identification data and the user's biometric data, and verify the user's identity by comparing the PUF value to the user's PUF benchmark.

Abstract: Systems, devices and methods are provided for building learning machines using learning machines. The system generally includes a reference learning machine, a target learning machine being built, a component analyzer module configured to analyze inputs from the reference learning machine, the target learning machine, a set of test signals, and a list of components in the reference learning machine and the target learning machine, and return a set of output values for each component on the list of components. The system further includes a component tuner module configured to modify different components in the target learning machine based on the set of output values and a component mapping, thereby resulting in a tuned learning machine.

Abstract: There is disclosed a novel system and method for decentralized digital structured data storage, management, and authentication. In an embodiment, the present system comprises pieces of digital structured data (including but not limited to, digital images, digital videos, digital audio, digital text, and digital computational graph representations), computer nodes for storing pieces of digital structured data and for creating references to portions of stored pieces of digital structured data, a network connecting the computer nodes, and a blockchain. In an embodiment, a piece of digital structured data is stored on a computer node, and the computer node creates a reference to a portion of the stored piece of digital structured data. The computer node then broadcasts a request for the reference to be added to the blockchain to all computer nodes through a network connecting all computer nodes.

Abstract: There is disclosed a novel system and method for decentralized digital structured data storage, management, and authentication. In an embodiment, the present system comprises pieces of digital structured data (including but not limited to, digital images, digital videos, digital audio, digital text, and digital computational graph representations), computer nodes for storing pieces of digital structured data and for creating references to portions of stored pieces of digital structured data, a network connecting the computer nodes, and a blockchain. In an embodiment, a piece of digital structured data is stored on a computer node, and the computer node creates a reference to a portion of the stored piece of digital structured data. The computer node then broadcasts a request for the reference to be added to the blockchain to all computer nodes through a network connecting all computer nodes.

Abstract: An automatic system and method for non-invasive imaging and identification of specific ocular structures of the eye and adnexa tissues by synchronous segmentation of visual and infrared images; that can produce spatial temperature profiles within each segmented area of the eye and adnexa; that can track eye and head movement and eye-blinks during the period of measurement to remove artefacts and maintain synchronicity; that can track ocular surface and eye adnexa temperature profiles over time; that can assist in diagnosis of eye disease; that can produce diagnostic indicators for ocular disease diagnosis and study of the eye. The system comprises infrared and visible light cameras for imaging the ocular structures, and a digital signal processing unit for processing the acquired infrared and visible images to output segmentations of the images for identification of different areas of the eye surface, including pupil, cornea, conjunctiva, and eyelids.

Abstract: The technology disclosed herein provides a system for generating a personal unclonable function (PUF) for a user based on a biometric data related to the user. Implementations of the system include a camera to generate a partial image of a user's tongue, a sensor to generate a moisture level in the user's saliva, a PUF generator configured to generate a PUF benchmark of the user based on combination of the partial image of a user's tongue and the moisture level in the user's saliva, and an access control unit configured to control access to one or more user devices based on the PUF benchmark.

Abstract: Systems, devices and methods are provided for building and using learning machines to understand and explain learning machines. The present system comprises a reference learning machine and an explainer learning machine being built for explaining and understanding the reference learning machine. A set of input signals is fed through the reference learning machine and the outputs at the different components of the learning machine for each given input signal are recorded. The recorded outputs at the different components of the learning machine for each given input signal, along with the corresponding expected output of the learning machine for each given input signal, are then used to update the parameters of the explainer learning machine. After the parameter update process, the explainer learning machine can then be queried for quantitative insights about the reference learning machine.

Abstract: A highly rigid tetradentate ligand is combined with a gold(III) ion as a thermally stable tetradentate gold(III) complex. The tetradentate gold(III) complex is a tetradentate gold(III) compound that can be used as a light-emitting material which can be used for fabricated of light-emitting devices such as an organic light-emitting diode (OLED). The tetradentate gold(III) compound can be deposited as a layer or a component of a layer using a solution-process or a vacuum deposition process. The luminescent tetradentate gold(III) compounds are robust and can provide electroluminescence (EL) with a high efficiency and brightness.