Other

Quantum Devices, Inc.

Technology Asset Trust

Dorica Properties Ny LLC

Celeris Systems, Inc.

Mohammad A Mazed

Sayeeda Mazed

Angel Martinez

Rex Wiig

Richard C Eden

Joerg Wiedmann

A Super System is disclosed and its inputs/outputs are coupled with a Mach-Zehnder interferometer (MZI), wherein the Mach-Zehnder interferometer (MZI) can be coupled with a first optical waveguide either in a two-dimensional (2-D) or in a three-dimensional (3-D) arrangement. The first optical waveguide can be then coupled with (i) a semiconductor optical amplifier (SOA) and/or (ii) a second optical waveguide (that can include an optical resonator) either in a two-dimensional (2-D) or in a three-dimensional (3-D) arrangement. The Super System can include multipliers of matrices and/or graphic processors.

Super system on chip

An intelligent (self-learning) sensor-aware and/or context-aware subsystem comprising (i) a System-on-a-Chip (SoC), (ii) a radio transceiver, (iii) a microphone, (iv) a voice processing module, (v) a (bio-inspired) neuromorphic event camera or a hyperspectral camera, (vi) a first set of computer implemental instructions in artificial neural networks (ANN) (which may include a transformer model/diffusion model or Poisson flow generative model++ (PFGM++)), (vii) a second set of computer implementable instructions to analyze and interpret contextual data and (viii) an autonomous artificial intelligence (AI) agent is disclosed.

Intelligent (self-learning) subsystem in access networks

The invention synthesizes a social network, electronic commerce (including performance based advertisement and electronic payment), a mobile internet device (MID)/mobile wearable internet device and a machine learning algorithm(s). The synthesized social commerce integrates stored information and real time information/data/image(s) from an object/array of objects (Internet of Things (IoT)) and automated agents (bots). The machine learning algorithm(s) can include a software agent, a fuzzy logic algorithm, a predictive algorithm, an intelligence rendering algorithm and a self-learning (including relearning) algorithm.

System and method for machine learning and augmented reality based user application

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).

Optical biomodule for detection of diseases at an early onset

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.

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.

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.

Imaging subsystem

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.

Intelligent subsystem

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.

Intelligent subsystem in a access networks

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.

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.

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.

Intelligent subsystem in access networks

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.

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.

Fast optical switch and its applications in optical communication

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). The machine learning algorithm(s), utilizing a classical computer can include a software agent, a fuzzy logic algorithm, a predictive algorithm, an intelligence rendering algorithm, a self-learning (including relearning) algorithm and an evolutionary algorithm.

Growing community of inventors

Yorba Linda, CA, United States of America

Mohammad A Mazed