Provided is a system and method for holographic light curtains. A system includes a holographic projector configured to project a holographic image, a rolling-shutter camera arranged to receive light from the holographic image, and at least one processor in communication with the rolling-shutter camera, the at least one processor programmed or configured to: determine an intensity of the light received from the holographic image; and detect a disturbance in a space of the holographic image based on a change in the intensity.
G03H 1/00 - Holographic processes or apparatus using light, infrared, or ultraviolet waves for obtaining holograms or for obtaining an image from themDetails peculiar thereto
G03H 1/02 - Holographic processes or apparatus using light, infrared, or ultraviolet waves for obtaining holograms or for obtaining an image from themDetails peculiar thereto Details
2.
Scalable Fabrication of Microdevices From Metals, Ceramics, and Polymers
A method for manufacturing a structure having at least one microscale feature includes mixing a powdered material with a binder to yield a slurry, shaping the slurry to yield a green device, and sintering the green device to yield the structure.
H05K 3/10 - Apparatus or processes for manufacturing printed circuits in which conductive material is applied to the insulating support in such a manner as to form the desired conductive pattern
B22F 1/05 - Metallic powder characterised by the size or surface area of the particles
B22F 3/16 - Both compacting and sintering in successive or repeated steps
B28B 1/20 - Producing shaped articles from the material by centrifugal or rotational casting
This document describes a process of producing gel microparticles, which are consistent in size and morphology. Through the process of coacervation, large volumes of gel microparticle slurry can be produced by scaling up reactor vessel size. Particles can be repeatedly dehydrated and rehydrated in accordance to their environment, allowing for the storage of particles in a non-solvent such as ethanol. Gel slurries exhibit a Bingham plastic behavior in which the slurry behaves as a solid at shear stresses that are below a critical value. Upon reaching the critical shear stress, the slurry undergoes a rapid decrease in viscosity and behaves as a liquid. The rheological behavior of these slurries can be adjusted by changing the compaction processes such as centrifugation force to alter the yield-stress. The narrower distribution and reduced size of these particles allows for an increase in FRESH printing fidelity.
A three-phase diagnosis methodology capable of effectively diagnosing and classifying multiple defects in integrated circuits comprises a first phase identifying a defect that resembles traditional fault models, and second and third phases that utilize the X-fault model and machine learning to identify correct candidates.
Disclosed herein is a method for fabricating a nanowire array on an uneven or curved surface. A pliable, porous scaffold is used to hold a liquid electrolyte, creating s semi-solid electrolyte that is used to transfer pressure to a template disposed on the target surface to cause the template to conform to and bond with the target surface to substantially eliminate the gap therebetween, such that a robust and controllable growth of the nanowire array can be realized.
A wearable, low power, compact ultrasonic haptic device that focuses ultrasound at or below the skin's surface using a piezocomposite transducer consisting multiple arrayed acoustic pixels, each acoustic pixel comprising an array of piezocomposite pillars separated by an epoxy and topped by a metal electrode. The high efficiency of the piezocomposite transducer facilitates sufficient production of ultrasonic energy directed at a focal point at or below the surface the skin to stimulate a tactile sensation.
An aquatic vessel, illustratively a pontoon boat including a thruster system is disclosed. The aquatic vessel executes a process to automatically position the aquatic vessel relative to a target location such as a mooring implement. Exemplary mooring implements include a dock, a slip, or a lift.
Disclosed herein is a co-designed compiler and CGRA architecture that achieves both high programmability and extreme energy efficiency. The architecture includes a rich set of control-flow operators that support arbitrary control flow and memory access on the CGRA fabric. The architecture is able to realize both energy and area savings over prior art implementations by offloading most control operations into a programmable on-chip network where they can re-use existing network switches.
Disclosed herein is a cochlear implant surgery simulator and training system. The system comprises a 3D model of a scala tympani upon which a surgeon performs practice insertions an the electrode array of a cochlear implant, wherein the electrode array is instrumented with one or more thin-film sensors disposed along a length of the electrode array, enabling real-time collection of force and position data. The system further comprises a feedback system for analyzing data collected from the instrumented electrode array and deriving scoring metrics regarding the surgeon's insertion technique.
A mobile testing and evaluation vehicle can include a body and a mobility feature disposed on the body, where the mobility feature is configured to move the body with respect to a zone of interest. The mobile testing and evaluation vehicle can also include a sensor device configured to obtain a measurement of a parameter associated with a sample in the zone of interest. The mobile testing and evaluation vehicle can further include a controller that is configured to receive the measurement, evaluate the sample based on the measurement, and evaluate the zone of interest based on evaluating the sample.
Described herein are methods, devices, materials, and systems for extracting target materials from iron-rich feedstocks. The iron-rich feedstock may be red mud, a natural occurring mineral, and/or a waste stream. The target materials may include a main constituent of the feedstock, a rare earth element, a precious metal, and/or a platinum group element. The invention may use a combination of electrochemical reactions and physical separation methods.
Disclosed herein is a novel design of an instrumented cochlear implant, wherein the electrode array portion of the implant is provided with a microfabricated thin-film sensing array comprising one or more sensors to detect various features of the electrode array during insertion and to provide feedback to the surgeon during implantation. The sensing array collects intraoperative information on the state of the electrode array during insertion.
A method, system, and computer program product for designing reconfigurable kinematic devices. An example aspect is configured to: model two rigid stages of the device, assign at least one degree of freedom to at least one kinematic mode of the device; design at least one flexural rod; place at least one tunable flexure; assign a thickness to the at least one flexural rod; add mechanical details; and modularize the device for printing. A kinematic device configured to provide haptic feedback or motion control having at least two rigid stages, at least one kinematic mode, at least one flexural rod, and at least one tunable flexure.
Disclosed herein is a novel method for improving transductive fine-tuning for few-shot learning using margin-based uncertainty weighting and probability regularization. Margin-based uncertainty is designed to assign low loss weights for wrongly predicted samples and high loss weights for the correct ones. Probability regularization provides for the probability of each testing sample being adjusted by a scale vector, which quantifies the difference between the class marginal distribution and the uniform.
A wearable, low power, compact ultrasonic haptic device that focuses ultrasound at or below the skin's surface using a piezocomposite transducer consisting multiple arrayed acoustic pixels, each acoustic pixel comprising an array of piezocomposite pillars separated by an epoxy and topped by a metal electrode. The high efficiency of the piezocomposite transducer facilitates sufficient production of ultrasonic energy directed at a focal point at or below the surface the skin to stimulate a tactile sensation.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
B06B 1/06 - Processes or apparatus for generating mechanical vibrations of infrasonic, sonic or ultrasonic frequency making use of electrical energy operating with piezoelectric effect or with electrostriction
G06F 3/041 - Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
16.
SYSTEM AND METHOD FOR DETERMINING A POSE OF A COCHLEAR IMPLANT
Disclosed herein is a system for analyzing data extracted from an instrumented cochlear implant, wherein the electrode array portion of the implant is provided with a microfabricated thin-film sensing array comprising one or more sensors to detect various features of the electrode array during insertion and to provide feedback to the surgeon during implantation. Preferred embodiments of the system utilize one or more trained machine learning models to extract features from the raw data received from the sensing array and can perform a pose estimation of the electrode array and recommend next surgical actions to increase the probability of a positive clinical outcome.
Disclosed herein is an artificial intelligence-based system and method for detecting possible danger in a scene contain one or more people. Individual people are detected and it is determined if one of the person's limbs is in a threatening position and if the hand of the person is holding a weapon. The system uses neural networks to detect people and weapons and classifiers to determine a probability of danger, based on the evaluation of the position and state of the limbs of the person.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06T 7/70 - Determining position or orientation of objects or cameras
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
18.
SYSTEM AND METHOD FOR MULTIVIEW PRODUCT DETECTION AND RECOGNITION
Disclosed herein is a system and method for implementing object detection and identification, regardless of the orientation of the object. The product detection and recognition method and system disclosed herein comprises capturing views of each object from different angles from a plurality of cameras and fusing the result of a matching process to identify the object as one of a plurality of objects enrolled in an object database.
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 10/12 - Details of acquisition arrangementsConstructional details thereof
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
Disclosed herein is a system and method for increasing the confidence of a match between a test image and an image stored in a library database. One or more transformations are performed on the test image to generate pose-altered images. Features are then extracted from the pose-altered image(s) and, optionally, the test image, and matched with images in the database. The scores for the subsequent matchings can be aggregated to determine an overall probability of a match between the test image in an image in the library database.
G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
G06V 10/24 - Aligning, centring, orientation detection or correction of the image
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/56 - Extraction of image or video features relating to colour
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
A method and apparatus for degrading a hypodermal tissue scaffold involves exposing the scaffold to a low-intensity focused ultrasonic beam such as to burst gas vesicles trapped in the silk fibroin from which scaffold is constructed. The rate of degradation van be controlled using ultrasonic beams of varying intensities. In one embodiment, the ultrasonic beams are administered trans-dermally to a hypodermal scaffold.
Disclosed herein is a system and method to provide secured I/O channels for multiple types of I/O devices to isolated applications, on-demand. The invention enables composition of different I/O kernels and, as such, eliminates developer effort required to re-implement and re-verify new I/O kernels to protect multiple types of I/O devices.
Stretchable and flexible thermoelectric devices may generally include a substrate having an array of semiconductors in electrical communication via a plurality of liquid metal interconnects, and coated on at least a portion thereof with opposing liquid crystal elastomer layers. The liquid crystal elastomer layers may be reaction products of a reaction mixture of a mesogenic group, a spacer, a crosslinker, and a photoinitiator. The liquid crystal elastomer layers may alternately heat and cool to achieve cyclical bending actuation when voltage is applied to the thermoelectric device. Methods of making and using the thermoelectric devices are also described.
Provided herein are devices and dosage forms useful in delivering macromolecular active ingredients or drugs, such as proteins, peptides and nucleic acids, through epithelial membranes, such as intestinal epithelium. Also provided are trans-epithelial drug delivery methods and methods of treatment of diabetes or insulin resistance, or to induce weight loss.
A liquid-infused composite comprising a thermally conductive and micro- or nano-structured scaffold infused with an effective amount of thermal bridge liquid, with the scaffold primarily comprising a first metal, having a micro- or nano-structure, being capable of holding the thermal bridge liquid internally, and having a self-supporting interconnected network structure. The composite allows easy pre-packaging, offers high thermal performance, reworkability, and reliability, and may be used for thermal interface cooling in data centers, GPU/CPU systems, solid-state lasers, thermoelectric modules, LEDs, etc.
Disclosed herein is a method for performing top-down design for optimizing synthesizable FPGA fabrics which eliminates the need for floorplanning and manual buffering by providing a global timing view of the FPGA fabric to the electronic design automation (EDA) tools. This is accomplished by providing the EDA tools with a global timing view spanning multiple tiles. The method restructures the switch-box muliplexers in a unique way to enable the use of powerful static timing analysis (STA) exceptions supported by modern EDA tools to work around the problem of combinational loops and long false paths created by the interconnect mesh in the FPGA fabric.
Disclosed herein is a multi-supervised deep framework that can automatically detect, segment, and classify abnormal cervical cells. The multi-supervised framework has semi-supervised, weakly-supervised and unsupervised modes which are effective in detecting cervical cells and classifying the cells as being normal or abnormal. The various modes address the situation in which labelled training data is sparse compared to unlabeled training data.
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
Disclosed herein are devices comprising stretchable interdigitated electrode arrays and methods for fabricating the devices. The devices are capable of acting as elongation sensors by sensing a change in the capacitance of the device as the distance between the interdigitated fingers changes when the device is elongated or compressed. The device may be coupled to other devices such as to be able to sense elongation or compression of the coupled device. The interdigitated fingers of the device are supported by a substrate and may be fabricated using traditional microfabrication techniques.
B81B 3/00 - Devices comprising flexible or deformable elements, e.g. comprising elastic tongues or membranes
B81C 1/00 - Manufacture or treatment of devices or systems in or on a substrate
G01B 7/16 - Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge
28.
MONOTONIC AMPLITUDE PULSE TRAINS FOR NON-INVASIVE NEUROSTIMULATION
A method of delivering a non-invasive neurostimulation using a Monotonic Amplitude Pulse Train is more charge-efficient than using conventional, uniform waveforms. Monotonic Amplitude Pulse Trains optimize the amplitudes of individual pulses in a train to reduce the total energy required to provide neural stimulation by as much as 50%.
Disclosed herein is a multi-supervised deep framework that can automatically detect, segment, and classify abnormal cervical cells. The multi-supervised framework has semi-supervised, weakly-supervised and unsupervised modes which are effective in detecting cervical cells and classifying the cells as being normal or abnormal. The various modes address the situation in which labelled training data is sparse compared to unlabeled training data.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/766 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using regression, e.g. by projecting features on hyperplanes
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
Disclosed herein is a framework for modeling the global floorplanning problem as a semi-definite programming (SDP) problem with an inner product between the target matrix and a direction matrix replacing the rank constraint. The framework is global optimal if an appropriate direction matrix is chosen, which is calculated using a convex iteration algorithm that decomposes the problem into two SDP sub-problems.
A low-cost and highly controllable roll-to-roll templated deposition method for fabricating a nanostructured film comprising: creating a stacked structure comprising a conductive substrate, a porous template disposed on the substrate, an ion-conductive layer formed of a porous scaffold or a polymer gel containing electrolytes disposed on the template, and an anode disposed on the ion-conductive layer; providing rollers on the anode; applying pressure to the stacked structure via the rollers so that the first porous template conforms and stays attached to the substrate; applying galvanic potential between the metal anode and the conductive substrate to grow a nanostructure from the substrate into the porous template by electrochemical deposition; and removing the porous template by chemical dissolution or chemical etching to obtain the nanostructured film. Tube rollers comprising, radially, tubes, electrolytes, and anodes may replace the rollers, electrolytes, and anodes. The nanostructured film may also grow on both sides of the substrate.
B29C 59/04 - Surface shaping, e.g. embossingApparatus therefor by mechanical means, e.g. pressing using rollers or endless belts
B05D 1/28 - Processes for applying liquids or other fluent materials performed by transfer from the surfaces of elements carrying the liquid or other fluent material, e.g. brushes, pads, rollers
B05B 13/04 - Means for supporting workArrangement or mounting of spray headsAdaptation or arrangement of means for feeding work the spray heads being moved during operation
32.
SYSTEMS AND METHODS FOR GENERATING DESIGNS USING ANALOGICS WITH LEARNING MODELS
Systems, methods, and other embodiments described herein relate to generating designs using learning models for analogics that process text and sketch-based inputs. In one embodiment, a method includes estimating analogical suggestions using a transformer model for a text prompt having design parameters. The method also includes generating an image using a learning model for an expression selected from the analogical suggestions and a sketched stroke inputted. The method also includes manipulating a modified sketch by the learning model and the modified sketch is derived from a sketched conversion of the image by an edge model.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
33.
ENHANCED INTERACTIVE WRITING TOOL THAT ALLOWS WRITERS TO DRAFT AND REVISE A TEXT AUTHENTICALLY AND EFFICIENTLY USING A LARGE LANGUAGE MODEL WHILE REDUCING ACADEMIC MISCONDUCT
The present invention relates to a method and system for generating coherent Al generated text from text segments using an interactive generative artificial intelligence software whereby text segments are concatenated to predefined natural language sentences to generate coherent Al generated text from the selected text without adding new ideas. The Al generated text can be traced back to the original text segment and the quality of the Al generated text can be rated.
Provided is a system, method, and device for manufacturing. A manufacturing device includes at least one sensor, at least one end-effector member configured to add and/or subtract material to manufacture an object, and at least one computing device in communication with the at least one sensor, and a control system for the at least one end-effector member, the at least one computing device configured to scan each layer of a plurality of layers of an object manufactured by the end-effector member and modify at least one layer of the plurality of layers based on comparing at least one scan of the at least one layer or at least one previous layer to a 3D representation of the at least one layer or the at least one previous layer.
Various implementations disclosed herein include devices, systems, and methods that predict a face configuration or hand pose of a user. For example, a device may include a structure and one or more antennas positioned on a portion of the structure. The device is worn on a head of a user. An associated process may be enabled to interpret data from the one or more antennas to discriminate deformation of a tissue geometry of at least one body portion of a user when the device is worn on the head of the user. The data from the one or more antennas may be associated with one or more impedance characteristics.
Provided is a system and method for pipe monitoring. The system includes a sensor arrangement comprising a visual sensor, an inertial sensor, and a laser projector, and at least one processor configured to: project a laser on an inner surface of a pipe with the laser projector; emit light with a light-emitting device on the inner surface of the pipe; capture a plurality of frames of the inner surface of the pipe with the visual sensor, wherein at least a subset of frames of the plurality of frames is captured while the laser is projected on the inner surface, and wherein the at least a subset of frames or a different subset of frames is captured while the light illuminates the inner surface; and generate a 3D reconstruction of the inner surface of the pipe based on the plurality of frames.
Various implementations disclosed herein include devices, systems, and methods that predict a face configuration or hand pose of a user. For example, a device may include a structure and one or more antennas positioned on a portion of the structure. The device is worn on a head of a user. An associated process may be enabled to interpret data from the one or more antennas to discriminate deformation of a tissue geometry of at least one body portion of a user when the device is worn on the head of the user. The data from the one or more antennas may be associated with one or more impedance characteristics.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
H01Q 1/27 - Adaptation for use in or on movable bodies
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
Provided are extension devices and systems, including an extending truss including a plurality of cells, each cell including a first scissor extender including a first member and a second member rotationally connected to the first member at an off-center point along a longitudinal axis of the first member, a second scissor extender connected to the first scissor extender, the second scissor extender including a first member and a second member rotationally connected to the first member, and a third scissor extender connected to the first scissor extender, the third scissor extender including a first member and a second member rotationally connected to the first member.
A method of training a deep neural network, such as would be used in facial recognition, includes training the deep neural network to normalize feature vectors to a learned value representing a radius of a multi-dimensional hypersphere using a convex augmentation of the primary loss function.
Systems, methods, and other embodiments described herein relate to identifying and generating mechanisms from natural processes by a learning model for accelerating design development. In one embodiment, a method includes identifying mechanisms for a design task using a prompt transformer with seeds from biological processes, and the prompt transformer forms a taxonomy tree using the mechanisms. The method also includes generating functional solutions that expand sparse branches of the taxonomy tree for the mechanisms using the prompt transformer. The method also includes clustering the mechanisms using text embedding for the design task. The method also includes inspecting the mechanisms with the prompt transformer to select a solution associated with the design task.
An implantable hybrid advanced molecular manufacturing regulator device containing engineered cells delivering cancer therapeutics to a subject. The device comprises a conductive scaffold in communication with a control module; a biochemical sensor module in communication with the control module; an oxygenator configured to produce oxygen and disposed inside the conductive scaffold; and at least one engineered cells encapsulation disposed in association with the conductive scaffold; wherein the at least one engineered cells encapsulation encapsulates engineered cells; wherein the engineered cells are configured to produce at least one cancer therapeutic agent; wherein the device is implantable.
In some aspects, the present disclosure pertains to methods for the electrochemical production of NH3 from nitrogen gas and a hydrogen-containing molecule in an electrochemical cell that comprises a cathode, an anode and a lithium-ion-containing electrolyte disposed between the cathode and the anode. The electrochemical cell is operated under conditions such that lithium ions in the electrolyte are converted to lithium metal at the cathode, the lithium metal reacting with nitrogen gas to form Li3N, and the Li3N reacting with protons in a proton donor to form NH3, lithium ions and a deprotonated proton donor. Moreover, the proton donor has a Kamlet-Taft alpha parameter (α) greater than 0.7 and a Kamlet-Taft beta parameter (β) greater than 0.5. Other aspects of the present disclosure pertain to systems for electrochemical production of NH3.
A computing a measure quantifying the influence of a concept defined by a concept model on classifications of a target model. This may include computing for sensor data in an evaluation set the output of a similarity function applied to the output of a target model and the output of a concept model.
A manufacturing method for making a plurality of microneedle arrays (MNAs) includes: dispensing a polymer resin into a plurality of wells of at least one mold by an automated dispenser comprising at least one dispensing nozzle; centrifuging the at least one mold to distribute the dispensed polymer resin within the plurality of wells of the at least one mold; curing, solidifying, and/or drying the polymer resin within the plurality of wells of the at least one mold; and removing individual molded MNA parts from the at least one mold with at least one electromechanical mover controlled by at least one computer processor. A mold for making a plurality of the MNAs and a high-throughput manufacturing system for making the MNAs using the mold are also provided.
A system and method allow interaction with a mobile device using finger pointing gestures. The mobile device includes an imaging device having a field of view that contains an object of interest. The system and method are capable of identifying the object of interest in image data captured by the imaging device by casting a ray from a finger of user, who is pointing to the object using traditional pointing gestures. Verbal utterances spoken by the user can be captured and used to provide context about the object of interest.
Disclosed herein is a system and method for implementing a personalized ultrasound neuromodulation system and methods with neural sensing of personalized electrophysiological data, guiding ultrasound targeting and dosage using such personalized data. Specific ultrasound transducer solutions are provided for various neural targets that enable the low-intensity focused ultrasound to modulate the central nervous system and peripheral nervous systems to treat a variety of neurological and mental disorders. A portable ultrasound console device, a wearable guiding apparatus and a compact solution for effectively and safely enabling point-of-care neuromodulation, e.g., home healthcare, are provided. Further methods for ultrasound waveform customization are also described to improve effectiveness of ultrasound neuromodulation.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
Disclosed herein is a novel system and method for detecting, localizing, and correcting configuration upsets of an SRAM-based FPGA design caused by radiation exposure. The radiation-hardened FPGA uses embedded strike sensors distributed throughout the FPGA fabric, coupled with an error handler to correct the upsets using a redundant on-chip copy of the configuration.
Systems, methods, and other embodiments described herein relate improve the estimation of poses within an environment including multiple people and uncalibrated cameras. In one embodiment, a method includes acquiring sensor data including images with depth information of a surrounding environment that includes multiple people. The method includes determining 2D poses and 3D features for the people according to the sensor data. The method includes generating camera poses using at least the depth information and the features for cameras that generated the images. The method includes generating 3D poses for the people according to the camera poses and the 3D features. The method includes providing the 3D poses of the people.
Disclosed herein is a posture-invariant brain-computer interface (BCI), including a neural decoder that effectively provides correct motion intent signals even as the user changes posture, a method of training the neural decoder using a supervised learning method to predict intended effector motion from training data collected in multiple postures, and a system using the trained neural decoder to effect intended motions on an effector.
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
50.
System, Method, and Computer Program Product for Optical Vibration Sensing
Provided are systems, methods, and computer program products for optical vibration sensing. The system includes a first visual sensor, a second visual sensor, and at least one processor in communication with the first visual sensor and the second visual sensor, the at least one processor configured to: capture at least one first image comprising at least one light on at least one object with the first visual sensor, capture at least one second image comprising the at least one light on the at least one object with the second visual sensor, and determine a vibration of the at least one object based on the at least one light captured in the at least one first image and the at least one second image.
H04N 23/45 - Cameras or camera modules comprising electronic image sensorsControl thereof for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images
H04N 23/55 - Optical parts specially adapted for electronic image sensorsMounting thereof
H04N 23/56 - Cameras or camera modules comprising electronic image sensorsControl thereof provided with illuminating means
A high-density bioprobe array is provided comprising conductive or optical shanks. A method of making high-density bioprobe arrays also is provided. A bioprobe system using the array also is provided.
G01N 27/30 - Electrodes, e.g. test electrodesHalf-cells
H05K 3/00 - Apparatus or processes for manufacturing printed circuits
H05K 3/12 - Apparatus or processes for manufacturing printed circuits in which conductive material is applied to the insulating support in such a manner as to form the desired conductive pattern using printing techniques to apply the conductive material
Disclosed herein are various embodiments of electrodes using nanowire structures to increase the columbic efficiency and voltage output of a battery. The electrodes may include, for example, a copper foil layer and copper nanowires protruding from a surface of the copper foil layer or from both surfaces of the copper foil layer.
Additive manufacturing methods, additive manufacturing systems (100), support material for additive manufacturing, and products thereof are provided. For example, the additive manufacturing methods includes depositing a structure material into a support material (108) based on a first computer model of an object, thereby forming a first portion of the object in the support material. The structure material exhibits a viscosity in a range of 1 mPa*s to 5000 mPa*s (1 cP to 5,000 cP) at 25 degrees Celsius. The support material exhibits a density in a range of 1.05 g/mL to 3 g/mL. The method includes repeating the depositing of the structure material as necessary to additively form the object.
Additive manufacturing methods, additive manufacturing systems, structure materials for additive manufacturing, and products thereof are provided. The structure material includes at least 1 mg/mL of a bio-compatible polymer, a solvent, at least 10 million cells/mL, and a polymerization inhibitor.
Aspects of the invention are drawn towards a wound healing device, such as a single or multi-component patch, comprising a first component and a second component, as well as cells capable of producing a plurality of therapeutic agents (e.g., cytokines). The wound healing device may be used in a manner to coordinate the release of the therapeutic agents, either temporally or geographically, to provide customized support of the wound healing process.
Provided are systems, methods, and devices for imaging using wireless network signals. The system includes a first set of wireless network antennas, a second set of wireless network antennas, and at least one computing device, the at least one computing device configured to initiate, with a first wireless network adapter, bidirectional communication of network packets between the first set of wireless network antennas and the second set of wireless network antennas, extract channel state information from the network packets after they are received by the first set of wireless network antennas and the second set of wireless network antennas, and generate an image of at least one entity in the space defined between the first set of wireless network antennas and the second set of wireless network antennas based on inputting the channel state information into a machine-learning model.
Provided herein is a computer-implemented method of determining blood pressure in a patient, including steps of transmitting light into a patient's limb distal to an occlusion point, receiving, first data relating to a pressure applied to occlude a patient's limb, receiving second data relating to a parameter of the transmitted light at a first time point during occlusion of the patient's limb, receiving third data relating to the parameter of the transmitted light at a second time point after perfusion of the patient's limb has resumed, comparing the second data to the third data determine a characteristic of the transmitted light, and determining the patient's systolic blood pressure based at least on the first data and the characteristic of the transmitted light.
A61B 5/021 - Measuring pressure in heart or blood vessels
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
Provided are systems, methods, and devices for scratch tracking. The system includes a wearable device configured to be worn on an appendage of an entity, the wearable device comprising at least one accelerometer and at least one motion sensor, and a computing device in communication with the at least one accelerometer and the at least one motion sensor, the computing device configured to receive first sensor data from the at least one accelerometer and second sensor data from the at least one motion sensor, wherein the first sensor data and the second sensor data are different, and determine at least one scratch metric based on inputting the first sensor data and the second sensor data into at least one machine-learning model.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
59.
CHOLESTEROL-OLIGONUCLEOTIDE TETHERS WITH APTAMERS FOR LIGAND DISPLAY AND EXTRACELLULAR VESICLE FUNCTIONALIZATION
Provided herein are Treg-derived extracellular vesicles (EVs) modified with an aptamer that binds an affinity-tagged protein. The affinity-tagged protein may be CTLA4, such that the Treg EVs target B7-dislaying cells, such as T-cells, B-cells, APCs, dendritic cells, or macrophage. The CTLA4-modified Treg EVs are useful in reducing an immune response, such as in transplantation patients, cancer patients, autoimmune disease patients, or inflammatory disease patients.
C12N 15/115 - Aptamers, i.e. nucleic acids binding a target molecule specifically and with high affinity without hybridising therewith
A61K 47/69 - Medicinal preparations characterised by the non-active ingredients used, e.g. carriers or inert additivesTargeting or modifying agents chemically bound to the active ingredient the non-active ingredient being chemically bound to the active ingredient, e.g. polymer-drug conjugates the conjugate being characterised by physical or galenical forms, e.g. emulsion, particle, inclusion complex, stent or kit
C12N 15/11 - DNA or RNA fragmentsModified forms thereof
Provided herein are methods, nucleic acids, transformed yeast cells, and kits useful for rapid and effective multiplexed identification of nanobody binding to a target protein domain.
A multiplexing electrochemical point-of-care biosensing device that provides picomolar level accuracy and high selectivity and which requires only seconds to provide the response. The biosensing device is capable of being mass manufactured due to a molding process used to fabricate the working electrode of the device, which consists of an array of micropillars coated with a biosensitive material.
A61B 5/1468 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
62.
SYSTEM, METHOD, AND DEVICE FOR ENTITY DETECTION AND IMAGING USING WIRELESS NETWORK SIGNALS
Provided are systems, methods, and devices for imaging using wireless network signals. The system includes a first set of wireless network antennas, a second set of wireless network antennas, and at least one computing device configured to broadcast, with the first wireless network adapter from the first plurality of wireless network antennas, first network packets in an environment, broadcast, with the second wireless network adapter from the second plurality of wireless network antennas while the first wireless network adapter broadcasts the first network packets, second network packets in the environment, extract channel state information for the first network packets and second network packets after they are received, and detect at least one entity in the environment based on inputting the channel state information into at least one machine-learning model.
Provided are systems, methods, and computer program products for generating modified light emissions. The system includes at least one signal receiver arranged on a vehicle, at least one sensor arranged on the vehicle, at least one lighting system arranged on the vehicle, and at least one processor in communication with the at least one signal receiver, the at least one sensor, and the at least one lighting system, the at least one processor configured to: receive a first signal with the at least one signal receiver; receive sensor data from the at least one sensor; determine lighting data based on the first signal; generate a modified light emission by geometrically transforming the lighting pattern based on the sensor data; and control the at least one lighting system to output the modified light emission.
B60Q 1/08 - Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle automatically
B60Q 1/14 - Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights having dimming means
64.
SYSTEM AND METHOD FOR IDENTIFYING MISPLACED PRODUCTS IN A SHELF MANAGEMENT SYSTEM
Disclosed herein is a system and method of identifying misplaced products on a retail shelf using a feature extractor trained to extract features from images of products on the shelf and output identifying information regarding the product in the product image. The extracted features are compared to extracted features in a product library and a best fit is obtained. A misplaced product is identified if the identifying information produced by the feature extractor fails to match the identifying information associated with the best fit features from the product library.
G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 18/2113 - Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
G06F 18/28 - Determining representative reference patterns, e.g. by averaging or distortingGenerating dictionaries
G06V 10/40 - Extraction of image or video features
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
65.
Error Evaluation Platform using Field Programmable Gate Array Based Emulation
Disclosed herein is a platform comprising a hardware compiler framework to directly instrument an RTL representation of an input design with a fault injection processor enabling the execution of arbitrary error injection requests from the user and communication with the design under test to target specific design sections for fault injection.
A tactile interaction device uses a plurality of shape-changing tactile elements that are driven by electro-osmotic flow of a fluid. An electric filed applied to a pumping membrane by two electrodes is responsible for inducing a flow of the liquid. Multiple tactile elements can be used on the device to permit localized tactile feedback to a user. The device is adapted to be in contact with the user's skin, such as a finger or hand.
Methods providing reliable and non-invasive ways to suppress spreading depolarization waves leading to cortical spreading depression are disclosed. A stimulation signal is applied at the location of and surrounding the location of the spreading depolarization and the amplitude and focal point of the stimulation signal are randomly varied, causing suppression of the spreading depolarization wave.
Disclosed herein is a highly energy-efficient architecture targeting the ultra-low-power sensor domain. The architecture achieves high energy-efficiency while maintaining programmability and generality. The invention introduces vector-dataflow execution, allowing the exploitation of the dataflows in a sequence of vector instructions and to amortize instruction fetch and decode over a whole vector of operations. The vector-dataflow architecture allows the invention to avoid costly vector register file accesses, thereby saving energy.
A method of controlling navigation of a device in an environment using machine learning (ML) models includes receiving visual and audio observation data of the environment as sensed by the device, determining classification scores for objects and regions in the environment based on the visual and audio observation data, encoding visual information based on the classification scores, determining audio-semantic feature embeddings based at least in part on the classification scores, the audio-semantic feature embeddings indicating spatial relationships between objects in the environment, between regions in the environment, and between objects and regions in the environment, and determining and outputting, based on the encoded visual information and the audio-semantic feature embeddings, a state representation corresponding to a state of the device within the environment.
A system includes a machine-learning network. The network includes an input interface configured to receive input data from a sensor. The processor is programmed to receive the input data, generate a perturbed input data set utilize the input data, wherein the perturbed input data set includes perturbations of the input data, denoise the perturbed input data set utilizing a denoiser, wherein the denoiser is configured to generate a denoised data set, send the denoised data set to both a pre-trained classifier and a rejector, wherein the pre-trained classifier is configured to classify the denoised data set and the rejector is configured to reject a classification of the denoised data set, train, utilizing the denoised input data set, the a rejector to achieve a trained rejector, and in response to obtaining the trained rejector, output an abstain classification associated with the input data, wherein the abstain classification is ignored for classification.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/84 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks
71.
KNOWLEDGE-DRIVEN SCENE PRIORS FOR SEMANTIC AUDIO-VISUAL EMBODIED NAVIGATION
A method of controlling navigation of a device in an environment using machine learning (ML) models includes receiving visual and audio observation data of the environment as sensed by the device, determining classification scores for objects and regions in the environment based on the visual and audio observation data, encoding visual information based on the classification scores, determining audio-semantic feature embeddings based at least in part on the classification scores, the audio-semantic feature embeddings indicating spatial relationships between objects in the environment, between regions in the environment, and between objects and regions in the environment, and determining and outputting, based on the encoded visual information and the audio-semantic feature embeddings, a state representation corresponding to a state of the device within the environment.
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
72.
SYSTEM AND METHOD FOR PREDICTING AND OPTIMIZING CHEMICAL MIXTURES
The disclosed invention is an end-to-end differentiable mixture physics model that combines physics-based models and GDL models, where the GDL models are designed to transform the molecular species, compositions and environment conditions to physical coefficients for use in the physics-based models.
G16C 20/30 - Prediction of properties of chemical compounds, compositions or mixtures
G16C 20/70 - Machine learning, data mining or chemometrics
H01M 10/0564 - Accumulators with non-aqueous electrolyte characterised by the materials used as electrolytes, e.g. mixed inorganic/organic electrolytes the electrolyte being constituted of organic materials only
H01M 4/38 - Selection of substances as active materials, active masses, active liquids of elements or alloys
G16B 40/00 - ICT specially adapted for biostatisticsICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
Provided herein are systems, methods, and computer program products using tumor phylogeny, mutation rates, and machine learning to produce a clinical projection, such as patient survival, risk of malignancy, and therapeutic options. The method includes generating sequence variation data that identifies, characterizes, or quantifies at least one mutation in tumor sequence data of a tumor of a patient. The method also includes generating a phylogenic tree depicting clonal evolution of cells in the tumor of the patient. The method further includes determining at least one feature of the phylogenic tree including at least one value quantifying rates of mutation and/or at least one value representing at least one aspect of a structure of the phylogenic tree. The method further includes training a machine learning model to be configured to generate a projection for the patient comprising a clinical outcome or disease progression.
G16B 20/20 - Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
G16B 10/00 - ICT specially adapted for evolutionary bioinformatics, e.g. phylogenetic tree construction or analysis
G16B 30/00 - ICT specially adapted for sequence analysis involving nucleotides or amino acids
G16B 40/00 - ICT specially adapted for biostatisticsICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
74.
LIPID NANOPARTICLE FORMULATIONS CONTAINING HUMAN MILK SUGARS
Methods and materials for lipid nanoparticle delivery of nucleic acids are provided herein. For example, compositions containing human milk oligosaccharides in combination with lipid nanoparticles having nucleic acid cargoes are provided herein, as are methods that include administering, to mammals in need thereof, human milk oligosaccharides and lipid nanoparticles that carry nucleic acid cargoes.
Disclosed herein is a method for delivery stimulation to targeted deep brain structures by supplementing existing method using external electrodes with transnasal electrodes, disposed, for example, in the olfactory cleft and within the hyenoid sinus, or, more broadly, in the nasal cavity and/or in the sinuses, including, but not limited to, the frontal, ethmoidal, sphenoid sinus, etc. The method allows stimulation and/or sensing in deep brain regions which can be inaccessible from the scalp or for which existing methods are ineffective in targeting. The method can also be used for power delivery to implants that might be placed inside the brain or on its surface.
Disclosed herein is a system and method for formally verifying the safety of the Federal Railroad Administration freight train kinematics model with all its relevant forces and parameters, including track slope and curvature, airbrake propagation, and resistive forces as computed by the Davis equation.
Provided herein are engineered lipid-bound vesicles for cytosolic delivery of an exogenous secreted, cell surface receptor-binding signaling molecule. Also provided herein are methods of making and using the engineered lipid-bound vesicles, and devices comprising the lipid-bound vesicles.
Computer systems and computer-implemented methods identify potential discrepancies between data practice disclosures made in a data practice policy and a data practice label for a data system. The data system collects or captures data about or for a user of the data system or any other person The method can also comprise the step of comparing, by the computer system, the prediction for the given data practice with an entry in the data practice label for the data system to identify a possible discrepancy between the prediction and the data practice label. The classifier can be trained via machine learning to make the predictions. The classifier could comprise a classifier for each data practice covered by the data label or a foundation model, such as large language model, that is adapted to make the predictions about a data system's data practice label.
A method discloses receiving, at a cross-attention layer of a model, first text data describing a first object and second text data describing a first scene, wherein the first text data includes a description of a location of the first object, utilizing the model with cross-attention layers, concatenating the first text data and the second text data to generate a prompt; generating, a broadcasted location mask constructed from at least the location; generating, a broadcasted all-one matrix associated with the second text data described the first scene; computing a key matrix and a value matrix utilizing separate linear projections of the prompt; computing a query matrix utilizing linear projections; generating a broadcasted location matrix in response to concatenating the broadcasted location mask and the broadcasted all-one matrix; generating a cross-attention map utilizing the query matrix, the key matrix, and the broadcasted location matrix; and outputting a final image.
A computer-implemented method includes converting tabular data to a text representation, generating metadata associated with the text representation of the tabular data, outputting one or more natural language data descriptions indicative of the tabular data in response to utilizing a large language model (LLM) and zero-shot prompting of the metadata and text representation of the tabular data, outputting one or more summaries utilizing the LLM and appending a prompt on the one or more natural language data descriptions, selecting a single summary of the one or more summaries in response to the single summary having a smallest validation rate, receiving a query associated with the tabular data, outputting one or more predictions associated with the query, and in response to meeting a convergence threshold with the one or more predictions generated from the one or more iterations, output a final prediction associated with the query.
University of Pittsburgh - Of the Commonwealth System of Higher Education (USA)
CARNEGIE MELLON UNIVERSITY (USA)
Inventor
Powell, Marc Philip
Capogrosso, Marco
Weber, Douglas J.
Verma, Nikhil
Gerszten, Peter C.
Pirondini, Elvira
Sorensen, Erynn
Carranza Urquizo, Erick Fabrizio
Fisher, Lee
Abstract
Disclosed herein are methods for treating impairment of a limb in a subject. Particular methods comprise applying a therapeutically effective amount of an electrical stimulus to dorsal roots, dorsal rootlets, or dorsal root ganglia, of sensory neurons innervating the limb of the subject, wherein the impairment is a motor impairment and/or a proprioception impairment due to neurological disorder or injury, the electrical stimulus is applied with one or more electrodes controlled by a neurostimulator, and the one or more electrodes are implanted in the epidural space at the dorsolateral aspect of the spinal cord and proximate to the dorsal roots or dorsal rootlets of the sensory neurons innervating the limb of the subject, or the one or more electrodes are implanted proximate to dorsal root ganglia of sensory neurons innervating the limb of the subject.
A strain sensor utilizes an ohmic-based contact switch to detect strain. The sensor can be incorporated into other structures, such as an artificial flapping wing, to detect strain and other parameters, including air flow disturbances. The sensors are fabricated using an additive manufacturing process, with a layer of gold or other conductive material applied for electrical conductivity and UV laser ablation for electrical isolation. The sensor design incorporates mechanical amplification, converting small strains into larger displacements that close contact pads, resulting in an ohmic switch activated at a specific strain threshold. Unlike traditional sensors, the switch provides a high or low state output directly without the need for additional amplification or post-processing. The device can detect disturbances in flapping wing cycles and obtain yaw rotation information, with potential applications in other aircraft for disturbance detection.
B81B 3/00 - Devices comprising flexible or deformable elements, e.g. comprising elastic tongues or membranes
B81C 1/00 - Manufacture or treatment of devices or systems in or on a substrate
G01L 1/22 - Measuring force or stress, in general by measuring variations in ohmic resistance of solid materials or of electrically-conductive fluidsMeasuring force or stress, in general by making use of electrokinetic cells, i.e. liquid-containing cells wherein an electrical potential is produced or varied upon the application of stress using resistance strain gauges
83.
MULTIDIMENSIONAL 3D GRAPHENE-BASED HIGH-PERFORMANCE CATALYSTS
A hybrid graphene material includes a functional group to expand the use of graphene in various applications. The hybrid material may include a substrate, such as silicon nanowires, where the graphene is fabricated on the surface of the substrate with an out-of-plane topography. Functional groups can be added to the graphene and affect the electrical, chemical, or photo characteristics of the hybrid material.
A system uses a sensing membrane to determine a fluid flow of a working fluid through the membrane. The system detects an electrical current generated by a fluid flowing through the sensing membrane and correlates the current to bulk flow. The sensing membrane can also be used to induce fluid flow by applying a current to the membrane. In alternative embodiments, separate sensing membranes and actuating membranes can be used in the same enclosures to permit sensing and actuating simultaneously.
G01F 1/38 - Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using mechanical effects by measuring pressure or differential pressure the pressure or differential pressure being created by the use of flow constriction the pressure or differential pressure being measured by means of a movable element, e.g. diaphragm, piston, Bourdon tube or flexible capsule
G01F 1/56 - Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using electric or magnetic effects
G01F 1/64 - Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using electric or magnetic effects by measuring electrical currents passing through the fluid flowMeasuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using electric or magnetic effects by measuring electrical potential generated by the fluid flow, e.g. by electrochemical, contact, or friction effects
G01N 15/08 - Investigating permeability, pore volume, or surface area of porous materials
A haptic device uses a group of electroosmotic pumps arranged in an array to provide tactile feedback to a user of a virtual/augmented reality system. The electroosmotic pumps are arranged in defined patterns, forming an array of haptic pixels. The pumps pressurize a working fluid to cause a displacement of a flexible membrane in contact with the working fluid. A controller can be used to address individual pumps of the array and to provide simulate effects such as texture, object compliance, detents and buttons, and to provide haptic animations.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
A63F 13/285 - Generating tactile feedback signals via the game input device, e.g. force feedback
B06B 1/06 - Processes or apparatus for generating mechanical vibrations of infrasonic, sonic or ultrasonic frequency making use of electrical energy operating with piezoelectric effect or with electrostriction
86.
METHOD FOR KEY GENERATION USING PHYSICALLY UNCLONABLE FUNCTIONS
Disclosed herein is a method for determining a physically unclonable function of a pixel array using the dark count rate of events at each pixel to form a dark count map. The dark count map serves as a signature of the array from which a set of authentication keys may be generated to provide verification of images generated by the pixel array. Multiple dark count maps from which multiple key sets can be generated may be provided for the pixel array by varying the perimeter gate voltage of each pixel.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
A high gravimetric and volumetric power density heat exchanger is provided for high-temperature and high-pressure applications with counter-flowing hot and cold agents that enter via respective inlet headers, transit parallel and adjacent flow passages, and exit via respective outlet headers. One or more headers for conveying one of the substances may be situated within the flow of the other substance. Structures within the flow passages promote the transfer of heat while limiting pressure drop on one or both sides. The structures may include microscale pins, an array of pins (with specified aspect ratios and spacing), a lattice of interconnected pins, parallel ridges, and/or other features. Through an additive manufacturing process, the headers are monolithically integrated into the heat exchanger instead of being separately constructed and attached.
F28D 9/00 - Heat-exchange apparatus having stationary plate-like or laminated conduit assemblies for both heat-exchange media, the media being in contact with different sides of a conduit wall
Internally-coated three-dimensional materials including a porous scaffold having an internal pore system including internal pores and interconnected interior channels in open communication with an exterior surface of the porous scaffold, and a functional internal conformal coating including 0D materials, 1D materials, and/or 2D materials in contact with interior surfaces of the internal pores and the interconnected interior channels, and the coating may be characterized by an interconnected three-dimensional network that is electrically conductive and/or electrochemically active. Methods of making and using the materials are also described.
Methods of controlling a computing system based on wiggling and/or other types of continuous multidirectional gesturing. In some embodiments, the methods monitor user gesturing for the occurrence of a recognizable item-action gesture that a user has made without having provided any other input to the computing system and then take one or more actions in response to recognizing the item-action gesture. In some embodiments, the actions include identifying one or more on-display item underlying the item-action gesture, duplicating the identified item(s) to one or more target locations, and adding one or more visual indicia to the identified on-display item(s), among other things In some embodiments, a user can append an item-action gesture with one or more action extensions that each cause the computing system to take one or more additional actions concerning the identified on-display item(s). Software for performing one or more of the disclosed methodologies is also disclosed.
G06F 3/04883 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures for inputting data by handwriting, e.g. gesture or text
Disclosed herein is a novel deep learning-based source imaging framework for imaging ictal oscillations from high-density electrophysiological recordings in drug-resistant focal epilepsy patients. A neural mass model producing ictal oscillations was used to generate synthetic training data having spatio-temporal-spectra features indicative of ictal oscillations. The synthetic training data was then used to train the deep learning-based source imaging framework to image and localize brain source patches exhibiting ictal oscillations, based on an input of EEG data.
Provided are systems and methods for swept-angle interferometry. A system includes a light source configured to emit at least one beam having at least two wavelengths, a beam steering device configured to steer the at least one beam across at least one axis of motion, a lens arranged in an optical path between the beam steering device and a target of the at least one beam, the lens having a focal plane, and a relay lens arranged in the optical path between the beam steering device and the lens.
Provided are systems and methods for controlling a plurality of satellites. A system includes at least one computing device configured to determine a control plan based on a target separation in along-track and cross-track directions for a plurality of satellites including at least a first satellite and a second satellite, the control plan including at least one drag modulation parameter for each satellite, control the first satellite to lower an orbital altitude of the first satellite based on the at least one drag modulation parameter, such that a mean motion and nodal precession rate of the first satellite increases, based on the control plan and after lowering the orbital altitude of the first satellite, and control the second satellite to lower an orbital altitude of the second satellite based on the at least one drag modulation parameter to achieve the target separation.
A method of forming a three-dimensional structure using droplet-based freeform printing is provided. The method includes depositing a structural material through one or more nozzles onto a surface of a substrate by droplet-based freeform printing, such as inkjet printing, to form one or more three-dimensional structures including a smooth surface and one or more cross-sectional dimensions. The structural material undergoes a liquid-to-solid transition after deposition of the structural material, and the one or more cross-sectional dimensions are controlled by a droplet ejection frequency. A method of fabricating a matrix including a three-dimensional structure including forming a negative three-dimensional template using droplet-based freeform printing, depositing, such as casting, a matrix material over the negative three-dimensional template and at least a portion of the surface of the substrate and solidifying the matrix material to form a matrix including the one or more three-dimensional structures of the negative template is also provided.
B29C 64/112 - Processes of additive manufacturing using only liquids or viscous materials, e.g. depositing a continuous bead of viscous material using individual droplets, e.g. from jetting heads
A method and apparatus for degrading a hypodermal tissue scaffold involves exposing the scaffold to a low-intensity focused ultrasonic beam such as to burst gas vesicles trapped in the silk fibroin from which scaffold is constructed. The rate of degradation van be controlled using ultrasonic beams of varying intensities. In one embodiment, the ultrasonic beams are administered trans-dermally to a hypodermal scaffold.
Various systems and process for fabricating customized medical devices via the freeform reversible embedding of suspended hydrogels process are disclosed. The mechanical properties of the fabricated objects can be controlled according to the manner or orientation in which the structure material is deposited into the support material and the three-dimensional movement of the extruder assembly. Further, the dimensions of the fabricated objects can be validated by adding a contrast agent to the structure material, obtaining a three-dimensional reconstruction of the fabricated object, and then comparing the three-dimensional reconstruction to the computer model upon which the fabricated object is based. These and other techniques are described herein.
B29C 64/386 - Data acquisition or data processing for additive manufacturing
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
Disclosed herein is a novel pseudoinverse estimation system and method that adapts regression techniques to directly estimate one or more pseudo inverses of a neuromodulation pathway, thereby circumventing the need of inverting an estimated forward model to design an electrical waveform that elicits a desired neural response. This is accomplished by the learning of a restricted domain that restricts the potential stimuli required to produce the desired neural response. Also disclosed herein is an adaptive, data-driven method providing a more selective design of an electrical waveform to elicit the desired neural response.
This document describes systems and methods for integrated mechanical loading of tissue. The system includes a three-dimensional tissue comprising organic material. The system includes a strip of bendable material. The strip includes a first region proximate to a first end of the strip coupled to the tissue. The strip includes a second region near a second end of the strip for coupled to the tissue, the second end being opposite the first end, wherein the tissue exerts a force on the strip to bend the strip, the force caused by contraction of the tissue, and wherein the strip exerts a stress on the tissue.
Light based additive manufacturing systems, methods of manufacture thereof, and products formed therefrom are provided. The additive manufacturing system comprises a material deposition region (102), a light emitter (104), a conduit (106), a carriage assembly (108), and a processor (110). The material deposition region is capable to hold a first material that is at least partially photoactivatable. The conduit is capable to transmit light from the light emitter to an end of the conduit and is capable to be disposed within the material deposition region. The carriage assembly is capable to move, rotate, or a combination thereof, the conduit within the material deposition region. The processor is in signal communication with the light emitter, conduit, carriage assembly, or a combination thereof, in order to selectively photoactive the first material using the end of the conduit, according to a first computer model, to additively form an object made of the first material.
B29C 64/135 - Processes of additive manufacturing using only liquids or viscous materials, e.g. depositing a continuous bead of viscous material using layers of liquid which are selectively solidified characterised by the energy source therefor, e.g. by global irradiation combined with a mask the energy source being concentrated, e.g. scanning lasers or focused light sources
This document describes systems and method of embedded printing for additive manufacturing. A print material is printed into a support material. The print material and the support material each have a fluid phase and a solid phase. The print material transitions from the fluid phase to the solid phase based on a fluid-fluid interaction with the support material. One or more parameters of the support material can be adjusted to cause a diffusion rate of the print material into the support material during the fluid-fluid interaction to be less than a threshold value. Multiple print materials can be printed into the support material simultaneously.
B29C 64/106 - Processes of additive manufacturing using only liquids or viscous materials, e.g. depositing a continuous bead of viscous material
B29C 64/165 - Processes of additive manufacturing using a combination of solid and fluid materials, e.g. a powder selectively bound by a liquid binder, catalyst, inhibitor or energy absorber
Disclosed herein is a system and method for matching products detected in an image of a shelf. The match or non-match of the products is then used to make a determination that the products are correctly positioned on the shelf of if the positioning of the products represents a plug or spread situation.
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 20/20 - ScenesScene-specific elements in augmented reality scenes
