Abstract: An optical biomodule for detecting a disease specific biomarker(s), utilizing enhanced fluorescence emission (due to integration of (three-dimensional (3-D) structures in a fluidic container) upon chemical binding/coupling of a disease specific biomarker(s) with its corresponding disease specific biomarker binder(s) is disclosed. The three-dimensional (3-D) structure(s) may be coupled with an optical resonator and/or a photonic crystal and/or a metamaterial and/or a metamaterial of Epsilon-Near-Zero (ENZ) of a suitable wavelength range. Furthermore, a laser source to induce fluorescence may include a quantum dot laser or Bose-Einstein condensate (BEC).

Abstract: An intelligent (self-learning) subsystem comprising (i) a Super System on Chip (SSoC) (non-optically enabled or optically enabled) and/or a System-on-a-Chip (SoC), (ii) a radio transceiver, (iii) a microphone, (iv) a voice processing module, (v) a first set of computer implementable instructions to interpret/analyze contextual data and (vi) a second set of computer implementable instructions in artificial neural networks (ANN) (which can include a transformer model or a diffusion model and may also be augmented with an evolutionary instructions) is disclosed.

Abstract: A Super System on Chip (SSoC) is disclosed. The Super System on Chip (SSoC)'s input/outputs are coupled with a Mach-Zehnder interferometer (MZI), wherein the Mach-Zehnder interferometer (MZI) can generally include a phase transition material or a phase change material. The Mach-Zehnder interferometer (MZI) is coupled with a first optical waveguide in two-dimensions (2-D) or three-dimensions (3-D). The first optical waveguide is coupled with (i) a semiconductor optical amplifier (SOA) or (ii) a second optical waveguide that can include a nonlinear optical material in two-dimensions (2-D) or three-dimensions (3-D). Furthermore, the semiconductor optical amplifier (SOA) may be replaced by an optical resonator.

Abstract: An imaging subsystem is disclosed, wherein the imaging subsystem is coherent and it generally includes an optical phased array (OPA), frequency modulation (FM) and/or amplitude modulation (AM). The imaging subsystem is operable with a Super System on Chip (SSoC) or a photonic neural learning processor (PNLP). The Super System on Chip (SSoC) includes memristors. The imaging subsystem is further operable with a camera (e.g., a metamaterial camera, wherein the metamaterial camera includes one or more metasurfaces). Furthermore, the imaging subsystem may be included with a vehicle system, wherein the vehicle system can recommend a service or an offer to a user/driver by anticipating any need of the user/driver.

Abstract: An intelligent subsystem coupled with a Super System on Chip (SSoC)/microprocessor, a radio transceiver, a voice processing module/voice processing algorithm, a display component, one or more camera sensors/computational cameras for three-dimensional (3-D) sensing of the surroundings, a near-field communication device, a biometric sensor, an artificial eye, a biological lab-on-chip (LOC)/DNA sequencing biomodule, an intelligent learning algorithm and an algorithm for three-dimensional (3-D) perception is disclosed. The Super System on Chip (SSoC) includes memristors. The intelligent subsystem can respond to a user's interests and/or preferences, provide telepresence and perceive the surroundings. Furthermore, the intelligent subsystem is sensor-aware or context-aware.

Abstract: An intelligent subsystem coupled with a radio transceiver, a voice processing module, an intelligent (smart) camera, a first set of computer implementable instructions in an artificial intelligence algorithm and a fuzzy logic algorithm (stored in one or more non-transitory storage medias) and a second set of computer implementable instructions to provide a search on an internet in response to a user's interest/preference (stored in the one or more non-transitory storage medias), wherein the first set of computer implementable instructions and the second set of computer implementable instructions are combined/integrated or separated.

Abstract: An intelligent subsystem comprising a microprocessor, a foldable/stretchable display, radio modules/transceivers, a first set of computer implementable instructions for intelligent learning (that can include (i) artificial intelligence or an artificial neural network and (ii) fuzzy logic) and a second set of computer implementable instructions in natural language is disclosed. The intelligent subsystem can (i) respond to a user's interests and/or preferences and (ii) provide a peer-to-peer transaction. Furthermore, the intelligent subsystem can be sensor-aware or context-aware.

Abstract: An intelligent subsystem is disclosed that comprises a system-on-a-chip (SoC)/microprocessor, a radio transceiver and a microphone/voice processing module (which includes one or more electronic components), wherein the, intelligent subsystem is communicatively interfaced with a first set of computer implementable instructions in natural language, a second set of computer implementable instructions in artificial intelligence and a third set of computer implementable instructions to provide a search on an internet based on a user's interest/preference, wherein the first set of computer implementable instructions, the second set of computer implementable instructions and the third set of computer implementable instructions are stored in one or more cloud-based non-transitory storage media.

Abstract: An intelligent subsystem comprising a system-on-a-chip (that can include a microprocessor and a graphic/graphical processor), a foldable/stretchable display, radio modules/transceivers, a first set of computer implementable instructions for intelligent learning (that can include (i) artificial intelligence or an artificial neural network and (ii) fuzzy logic) and a second set of computer implementable instructions in natural language is disclosed. The intelligent subsystem can (i) respond to a user's interests and/or preferences and (ii) provide a peer-to-peer transaction. Furthermore, the intelligent subsystem can be sensor-aware or context-aware.

Abstract: An optical biomodule for detecting a disease specific biomarker, utilizing an enhanced light emission due to integration of one or more three-dimensional (3-D) protruded structures in a fluidic container (which includes one or more materials), upon chemical binding of a disease specific biomarker binder (which includes a first segment coupled with a first fluorophore and a second segment coupled with a second fluorophore) with its corresponding disease specific biomarker is disclosed. Furthermore, the disease specific biomarker binder may include a synthetic biological logic circuit/gate. Furthermore, the three-dimensional (3-D) protruded structure can be coupled with a photonic crystal or a metamaterial (hyperbolic metamaterial/metamaterial of Epsilon-Near-Zero (ENZ)) of a suitable wavelength range.

Abstract: A fast optical (with or without a photonic crystal) switch is fabricated/constructed, utilizing a phase transition material/Mott insulator, activated by either an electrical pulse (a voltage pulse or a current pulse) and/or a light pulse and/or pulses in terahertz (THz) frequency of a suitable field strength and/or hot electrons. The applications of such a fast optical switch for an on-demand optical add-drop subsystem, integrating with (a) a light slowing/light stopping component (based on metamaterials and/or nanoplasmonic structures) and (b) with or without a wavelength converter are also described.

Abstract: The invention synthesizes a social network, electronic commerce (including performance based advertisement and electronic payment), a mobile internet device (MID)/mobile wearable internet device, a topological data analysis (TDA) algorithm(s), an algorithm(s) based on game theory and a machine learning algorithm(s), utilizing a classical computer or an optical computer enhanced machine learning algorithm(s), utilizing an optical computer or a quantum computer enhanced machine learning algorithm(s), utilizing a quantum computer. The synthesized social commerce further dynamically integrates stored information, real time information and real time information/data/image(s) from an object/array of objects (Internet of Things (IoT)) and automated agents (bots).

Abstract: An intelligent subsystem coupled with a system-on-chip (comprising a microprocessor/graphic processor), a radio transceiver, a voice processing module/voice processing algorithm, a foldable/stretchable display, a near-field communication device, a biometric sensor and an intelligent learning algorithm is disclosed. The intelligent subsystem can respond to a user's interests and/or preferences. Furthermore, the intelligent subsystem is sensor-aware or context-aware.

Abstract: An intelligent subsystem coupled with a system-on-chip (comprising a microprocessor/graphic processor), a radio transceiver, a voice processing module/voice processing algorithm, a foldable display, a near-field communication device, a biometric sensor and an intelligent learning algorithm is disclosed. The intelligent subsystem can respond to a user's interests and/or preferences. Furthermore, the intelligent subsystem is sensor-aware or context-aware.

Abstract: A fast optical (with or without a photonic crystal) switch is fabricated/constructed, utilizing a phase transition material/Mott insulator, activated by either an electrical pulse (a voltage pulse or a current pulse) and/or a light pulse and/or pulses in terahertz (THz) frequency of a suitable field strength and/or hot electrons. The applications of such a fast optical switch for an on-demand optical add-drop subsystem, integrating with (a) a light slowing/light stopping component (based on metamaterials and/or nanoplasmonic structures) and (b) with or without a wavelength converter are also described.

Abstract: An intelligent subsystem coupled with a system-on-chip (comprising a microprocessor/graphic processor), a radio transceiver, a voice processing module/voice processing algorithm, a foldable display, a near-field communication device, a biometric sensor and an intelligent learning algorithm is disclosed. The intelligent subsystem can respond to a user's interests and/or preferences. Furthermore, the intelligent subsystem is sensor-aware or context-aware.

Abstract: A Super System on Chip (SSoC) coupled with a photonic neural learning processor (PNLP), one or more quantum bits (qubits) and a machine learning algorithm for ultrafast data processing, image processing/recognition, deep learning/meta-learning and self-learning is disclosed. The Super System on Chip (SSoC) is interconnected/coupled electrically and/or optically in two-dimension (2-D) or in three-dimension (3-D).

Abstract: An optical biomodule for detecting a disease specific biomarker, utilizing an enhanced fluorescence emission (due to integration of one or more three-dimensional (3-D) protruded structures) in a fluidic container, upon chemical binding of a disease specific biomarker binder with its corresponding disease specific biomarker is disclosed. The three-dimensional (3-D) protruded structure can be coupled with a photonic crystal/metamaterial/metamaterial of Epsilon-Near-Zero (ENZ) of a suitable wavelength range. Furthermore, an enhanced fluorescence emission can be modulated by a synthetic Cas13 protein chemically coupled with a CRISPR RNA (crRNA) and a quenched fluorescent reporter. Alternatively, a suitable synthetic substitute of a synthetic Cas13 protein chemically coupled with a CRISPR RNA (crRNA) containing a targeting sequence can also be utilized.

Abstract: An intelligent subsystem coupled with a radio transceiver, a voice processing module, a first set of computer implementable instructions in an artificial intelligence algorithm and a fuzzy logic algorithm (stored in one or more non-transitory storage medias) and a second set of computer implementable instructions to provide a search on an internet in response to a user's interest/preference (stored in the one or more non-transitory storage medias), wherein the first set of computer implementable instructions and the second set of computer implementable instructions are combined/integrated or separated.

Abstract: An intelligent subsystem coupled with a radio transceiver, a voice processing module, an intelligent (smart) camera, a first set of computer implementable instructions in an artificial intelligence algorithm and a fuzzy logic algorithm (stored in one or more non-transitory storage medias) and a second set of computer implementable instructions to provide a search on an internet in response to a user's interest/preference (stored in the one or more non-transitory storage medias), wherein the first set of computer implementable instructions and the second set of computer implementable instructions are combined/integrated or separated.