Abstract: A passive thermal spectral imaging camera includes an active confocal tunable microwave illuminator tuned to human physiology bio-molecules, and can also include an active microwave radar and a passive electro-optic-infrared camera. The camera can also include a thermal biomarker, which can include a microwave oven, a microwave-mixer, and a beam expander. The beam expander can include a metallic pin-hole array. An imaging system includes a passive electro-optic-infrared camera, and a thermal biomarker, and can also include a microwave oven, and a microwave mixer. The thermal biomarker can include a confocal tunable microwave illuminator, which can include a waveguide coupled to a magnetron of the microwave oven and to the microwave mixer. The microwave mixer can be configured to downshift and/or upshift an output of the magnetron.

Abstract: An experience-based expert system includes an open-set neural net computing sub-system having massive parallel distributed hardware processing associated massive parallel distributed software configured as a natural intelligence biological neural network that maps an open set of inputs to an open set of outputs. The sub-system can be configured to process data according to the Boltzmann Wide-Sense Ergodicity Principle; to process data received at the inputs to determine an open set of possibility representations; to generate fuzzy membership functions based on the representations; and to generate data based on the functions and to provide the data at the outputs. An external intelligent system can be coupled for communication with the sub-system to receive the data and to make a decision based on the data. The external system can include an autonomous vehicle. The decision can determine a speed of the vehicle or whether to stop the vehicle.

Abstract: A system of determining emotional inclination includes imaging and analysis subsystems. The imaging subsystem is configured to detect a dynamic vein map of a subject, illuminate the vein map, and record imaging data of the vein map. The analysis subsystem is configured to receive the data, analyze the data, and interpret the subject's emotional inclination based on the analysis. A method of determining emotional inclination includes detecting a dynamic vein map of a subject, illuminating the vein map, recording imaging data of the vein map, receiving the data, analyzing the data, and interpreting the emotional inclination based on the analysis.

Abstract: A method of diagnosing a disorder includes obtaining a medical image of a subject. A Helmholtz Minimum Free Energy is computed from the medical image. A negative slope of the Helmholtz Minimum Free Energy is determined, from which a glial force is computed. The existence of a disorder in the subject is diagnosed if a value of the glial force is within a predetermined range. The disorder can be, for example, a brain disorder, such as Alzheimer's disease, Parkinson's disease, and/or schizophrenia. Other examples of disorders are epilepsy and rheumatoid arthritis. The subject can be, for example, a human subject.

Abstract: An experience-based expert system includes an open-set neural net computing sub-system having massive parallel distributed hardware processing associated massive parallel distributed software configured as a natural intelligence biological neural network that maps an open set of inputs to an open set of outputs. The sub-system can be configured to process data according to the Boltzmann Wide-Sense Ergodicity Principle; to process data received at the inputs to determine an open set of possibility representations; to generate fuzzy membership functions based on the representations; and to generate data based on the functions and to provide the data at the outputs. An external intelligent system can be coupled for communication with the subsystem to receive the data and to make a decision based on the data. The external system can include an autonomous vehicle. The decision can determine a speed of the vehicle or whether to stop the vehicle.

Abstract: A deep learning neuromorphic system includes an electronic circuit having input ports and an output port. The input ports are configured to receive differential photon detector outputs as circuit inputs. The electronic circuit is configured to apply unsupervised deep learning rules to the circuit inputs to provide a current mirror output. The output port is configured to provide the current mirror output to a plotter. A method of deep learning neuromorphic application includes receiving differential photon detector outputs as inputs to an electronic circuit. The electronic circuit applies unsupervised deep learning rules to the inputs to provide a current mirror output. The current mirror output is provided to a plotter.

Abstract: An RFID/MFID system includes a tag and a reader. The tag is adapted to provide an RF identification signature when interrogated with an electric travelling wave and to provide an MF identification signature when interrogated with a magnetic travelling wave. The tag includes a target data object. The reader is adapted to read electrical and magnetic signatures of the target data object from the tag. A method of providing an identification function includes reading electrical and magnetic signatures of a target data object from tag. The tag provides an RF identification signature when interrogated with an electric travelling wave and provides an MF identification signature when interrogated with a magnetic travelling wave.

Abstract: An RFID/MFID system includes a tag and a reader. The tag is adapted to provide an RF identification signature when interrogated with an electric travelling wave and to provide an MF identification signature when interrogated with a magnetic travelling wave. The tag includes a target data object. The reader is adapted to read electrical and magnetic signatures of the target data object from the tag. A method of providing an identification function includes reading electrical and magnetic signatures of a target data object from tag. The tag provides an RF identification signature when interrogated with an electric travelling wave and provides an MF identification signature when interrogated with a magnetic travelling wave.

Abstract: A method of forecasting naturally-occurring phenomena, such as seismic activity, includes taking localized measurements of the Earth's gravitational force change using MEM inertial motion units. Trends in the measurements are interpreted and related to a phenomenon of interest, a likelihood of occurrence is predicted based on the relationship, and the likelihood is reported to interested parties, preferably automatically to emergency bulletin sources. Measurements can be taken from above the Earth's atmosphere. The trends can be interpreted by determining blind source separation information directed to the region underneath the Earth's mantle crust to determine composition and/or movement.

Abstract: An RFID system includes a number of RFID tags and an RFID reader. Each RFID tag includes a respective portion of a target data object. The RFID reader is adapted to read each portion of the target data object from the respective RFID tags. A method of providing an identification function includes using an RFID reader to read one portion of a target data object stored on an RFID tag, from among a number of portions of the target data object stored on a respective number of RFID tags.

Abstract: An RFID system includes a number of RFID tags and an RFID reader. Each RFID tag includes a respective portion of a target data object. The RFID reader is adapted to read each portion of the target data object from the respective RFID tags. A method of providing an identification function includes using an RFID reader to read one portion of a target data object stored on an RFID tag, from among a number of portions of the target data object stored on a respective number of RFID tags.

Abstract: A method of forecasting naturally-occurring phenomena, such as seismic activity, includes taking localized measurements of the Earth's gravitational force change using MEM inertial motion units. Trends in the measurements are interpreted and related to a phenomenon of interest, a likelihood of occurrence is predicted based on the relationship, and the likelihood is reported to interested parties, preferably automatically to emergency bulletin sources. Measurements can be taken from above the Earth's atmosphere. The trends can be interpreted by determining blind source separation information directed to the region underneath the Earth's mantle crust to determine composition and/or movement.

Abstract: A process of performing a medical test includes taking multi-spectral images of an area of interest of a patient. The patient can be a human being or an animal, and can be known to be healthy or known to have health issues or problems. A multi-spectral camera includes a long-infrared charge-coupled device, a mid-infrared detector array, and a control device that synchronizes operation of the charge-coupled device and the detector array. The mid-infrared detector array can include carbon nanotubes. The carbon nanotubes can be detector elements. For example, the carbon nanotubes can be tuned-bandgap carbon nanotubes. Each pixel of resolution of the detector array can include a balanced Wheatstone bridge circuit including one of the tuned-bandgap carbon nanotubes. Adjacent pixels of the detector array can be arranged for orthogonal polarization.

Abstract: A process of performing a medical test includes taking multi-spectral images of an area of interest of a patient. The patient can be a human being or an animal, and can be known to be healthy or known to have health issues or problems. A multi-spectral camera includes a long-infrared charge-coupled device, a mid-infrared detector array, and a control device that synchronizes operation of the charge-coupled device and the detector array. The mid-infrared detector array can include carbon nanotubes. The carbon nanotubes can be detector elements. For example, the carbon nanotubes can be tuned-bandgap carbon nanotubes. Each pixel of resolution of the detector array can include a balanced Wheatstone bridge circuit including one of the tuned-bandgap carbon nanotubes. Adjacent pixels of the detector array can be arranged for orthogonal polarization.

Abstract: A process of performing a medical test includes taking multi-spectral images of an area of interest of a patient. The patient can be a human being or an animal, and can be known to be healthy or known to have health issues or problems. A multi-spectral camera includes a long-infrared charge-coupled device, a mid-infrared detector array, and a control device that synchronizes operation of the charge-coupled device and the detector array. The mid-infrared detector array can include carbon nanotubes. The carbon nanotubes can be detector elements. For example, the carbon nanotubes can be tuned-bandgap carbon nanotubes. Each pixel of resolution of the detector array can include a balanced Wheatstone bridge circuit including one of the tuned-bandgap carbon nanotubes. Adjacent pixels of the detector array can be arranged for orthogonal polarization.

Abstract: A process of providing storage for data on a storage medium includes precisely placing an atom onto a surface of the storage medium as an interstitial impurity, and moving the atom to a specific storage site on the storage medium as a stored bit of data. A storage medium includes a surface, an atom that is precisely inserted onto the surface as an interstitial impurity, and a write device that moves the atom to a specific storage site on the surface as a stored bit of data.

Abstract: Changes, increase or decrease, in the body fluid flow are passively detected by using a single pixel, non-linear blind de-mixing procedure, which can be extended to general biomedical measurement and diagnoses instruments. More specifically the single pixel, non-linear blind de-mixing procedure is applied on the hot spots of rheumatic arthritis or breast cancer detection problem using passive two-color infrared imaging as well as to passively detect blockages in the body fluid circulatory system that might be of importance for coronary artery bypass surgery, diabetes and deep vein thrombosis. Other applications of the mentioned algorithm include a pair of cameras for video, a pair of antennas for cell phones, and in situ data gathering or imaging using multiple mode fiberoptical sensing as well as selective amplification hearing aids through two-ear binaural processing for de-noise echo cancellation and signal classification.

Abstract: A discrete non-linear estimator is provided to establish a probability dety function useful in classification of a feature as belonging to one of two classes. A first and second known feature space associated with respective first and second classes are each converted to a plurality of voltages reflecting corresponding first and second feature space bins. A first and second one-dimensional, non-linear resistive grid has input nodes that continuously receive the voltages reflecting the respective first and second known feature space. Each resistive grid produces an output voltage at each of a corresponding plurality of first and second output nodes. Each of a plurality of voltage comparators are used to compare voltages at corresponding first and second output nodes to output a discrete probability density function that considers corresponding ones of the first and second feature space bins. A display may be used to visually or otherwise provide each probability density function from each voltage comparator.