Patent application number | Description | Published |
20080258773 | UNIVERSAL LOGIC GATE UTILIZING NANOTECHNOLOGY - A universal logic gate apparatus is disclosed, which include a plurality of self-assembling chains of nanoparticles having a plurality of resistive connections, wherein the plurality of self-assembling chains of nanoparticles comprise resistive connects utilized to create A plasticity mechanism is also provided, which is based on a plasticity rule for creating stable connections from the plurality of self-assembling chains of nanoparticles for use with the universal, reconfigurable logic gate. The plasticity mechanism can be based, for example, on a 2-dimensional binary input data stream, depending upon design considerations. A circuit is also associated with the plurality of self-assembling chains of nanoparticles, wherein the circuit provides a logic bypass that implements a flip-cycle for second-level logic. Additionally, an extractor logic gate is associated with the plurality of self-assembling chains of nanoparticles, wherein the extractor logic gate provides logic functionalities. | 10-23-2008 |
20090043722 | ADAPTIVE NEURAL NETWORK UTILIZING NANOTECHNOLOGY-BASED COMPONENTS - Methods and systems for modifying at least one synapse of a physicallelectromechanical neural network. A physical/electromechanical neural network implemented as an adaptive neural network can be provided, which includes one or more neurons and one or more synapses thereof, wherein the neurons and synapses are formed from a plurality of nanoparticles disposed within a dielectric solution in association with one or more pre-synaptic electrodes and one or more post-synaptic electrodes and an applied electric field. At least one pulse can be generated from one or more of the neurons to one or more of the pre-synaptic electrodes of a succeeding neuron and one or more post-synaptic electrodes of one or more of the neurons of the physical/electromechanical neural network, thereby strengthening at least one nanoparticle of a plurality of nanoparticles disposed within the dielectric solution and at least one synapse thereof. | 02-12-2009 |
20090138419 | FRACTAL MEMORY AND COMPUTATIONAL METHODS AND SYSTEMS BASED ON NANOTECHNOLOGY - Fractal memory systems and methods include a fractal tree that includes one or more fractal trunks. One or more object circuits are associated with the fractal tree. The object circuit(s) can be configured from a plurality of nanotechnology-based components to provide a scalable distributed computing architecture for fractal computing. Additionally, a plurality of router circuits is associated with the fractal tree, wherein one or more fractal addresses output from a recognition circuit can be provided at a fractal trunk by the router circuits. | 05-28-2009 |
20100280982 | WATERSHED MEMORY SYSTEMS AND METHODS - An emotional memory control system and method for generating behavior. A sensory encoder provides a condensed encoding of a current circumstance received from an external environment. A memory associated with a regulator recognizes the encoding and activates one or more emotional springs according to a predefined set of instructions. The activated emotional springs can then transmit signals to at least one moment on a fractal moment sheet incorporated with a timeline for each channel in order to form one or more watersheds. An activation magnitude can be calculated for each moment and transmitted to a reaction relay. A synaptic link can then form between the moment and a motor encoder, thereby linking a specific moment with a specific action state. | 11-04-2010 |
20100287124 | HIERARCHICAL TEMPORAL MEMORY UTILIZING NANOTECHNOLOGY - Methods and systems are presented for constructing biological-scale hierarchically structured cortical statistical memory systems using currently available fabrication technology and meta-stable switching devices. Learning content-addressable memory and statistical random access memory circuits are detailed. Additionally, local and global signal modulation of bottom-up and top-down processing for the initiation and direction of behavior is disclosed. | 11-11-2010 |
20110005514 | SOLAR THERMAL HEATING UTILIZING DYNAMIC PARTICLE FLOW BALANCING - A solar heating apparatus, which includes a panel having one or more layers or a group of such layers, wherein one or more layers among such a group of layers constitutes a transparent medium. The panel includes at least two other layers among the group of layers, which constitute a reflective medium. The panel additionally includes one or more spaces formed between the layers and at least one other space formed between the other layers. A heat transfer fluid can be located within the space between the layers. The heat transfer fluid contains heat-absorbing particles, which are suspended in the heat transfer fluid and subject to a flow-force through the panel in a direction against a force of gravity. The heat-absorbing particles are held in light in the panel via a balance of a flow-force and the force of gravity. The heat-absorbing particles drift to the bottom of the panel when the flow-force stops. | 01-13-2011 |
20110040740 | SEARCH ENGINE UTILIZING FLOW NETWORKS - A system and method for searching resources is disclosed. Each resource is associated with one or more pictograms. The pictorial questions (pictions) are created by searching a network of pictions and displaying associated pictograms. The selections of pictograms define a path of linked resources. The resource paths are computed as flows and used to update resource network connections. A user's prior selection(s) of resources are used as flow sources for result ordering. The ratio of the number of times the pictogram was displayed versus the number of times it was clicked rates can be utilized as selection criteria in an evolutionary algorithm to optimize pictograms. The disclosed system and method can also display local goods and services through a kiosk. | 02-17-2011 |
20110145177 | HIERARCHICAL TEMPORAL MEMORY - Methods and systems for constructing biological-scale hierarchically structured cortical statistical memory systems utilizing fabrication technology and meta-stable switching devices. Learning content-addressable memory and statistical random access memory circuits are detailed. Additionally, local and global signal modulation of bottom-up and top-down processing for the initiation and direction of behavior is disclosed. | 06-16-2011 |
20110145179 | FRAMEWORK FOR THE ORGANIZATION OF NEURAL ASSEMBLIES - A framework for organization of neural assemblies. Stable neural circuits are formed by generating comprehensions. A packet of neurons projects to a target neuron after stimulation. A target neuron in STDP state is recruited if it fires within a STDP window. Recruitment leads to temporary stabilization of the synapses. The stimulation periods followed by decay periods lead to an exploration of cut-sets. Comprehension results in successful predictions and prediction-mining leads to flow. Flow is defined as the production rate of signaling particles needed to maintain communication between nodes. The comprehension circuit competes for prediction via local inhibition. Flow can be utilized for signal activation and deactivation of post-synaptic and pre-synaptic plasticity. Flow stabilizes the comprehension circuit. | 06-16-2011 |
20110161268 | FRAMEWORK FOR THE EVOLUTION OF ELECTRONIC NEURAL ASSEMBLIES TOWARD DIRECTED GOALS - Methods and systems for the evolution of electronic neural assemblies toward directed goals. A compact computing architecture includes electronics that allows users of such an architecture to create autonomous agents, in a real or a virtual world and add intelligence to machines. An intelligent machine is composed of four basic modules: one or more sensors, one or more motors, a (Reward Input Output System) RIOS, and a cortex. A number of genetically evolved detectors can project both to cortex and RIOS. At first the neurons within the cortex evolve to predict the structure of the sensory data followed by the structure of proprioceptive activations of its own motor system. Finally, once the cortex has learned its sensory and motor programs, it evolves to predict the reward signals, which comes in multiple channels but is dominated by the detection of the aquisition of free-energy. | 06-30-2011 |
20110302119 | SELF-ORGANIZING CIRCUITS - A self-organizing electronic system and method that organizes and repairs itself. A number circuit of modules can be embedded in a fabric. Each circuit module can calculate some function of its inputs and produces an output, which is encoded on volatile memory held together by a plasticity rule. The plasticity rule allows circuit modules to converge to any possible functional state defined by the structure of the information being processed. Flow through the system gates energy dissipation of the individual circuit modules. Circuit modules receiving high flow become locked in their functional states while circuit modules receiving little or no flow mutate in search of better configurations. These principles can be utilized to configure the state of any functional element within the system, and can be abstracted to higher levels of organization. Far from expending energy on state configurations, a volatile system only expends energy stabilizing successful configurations. Continuous stabilization coupled with redundancy results in a circuit capable of healing itself from the bottom-up. | 12-08-2011 |
20120078827 | HIERARCHICAL TEMPORAL MEMORY METHODS AND SYSTEMS - Methods and systems for constructing biological-scale hierarchically structured cortical statistical memory systems utilizing fabrication technology and meta-stable switching devices. Learning content-addressable memory and statistical random access memory circuits are detailed. Additionally, local and global signal modulation of bottom-up and top-down processing for the initiation and direction of behavior is disclosed. | 03-29-2012 |
20120150780 | PHYSICAL NEURAL NETWORK - A physical neural network includes at least one neuron-like node that sums at least one input signal and generates at least one output signal based on a threshold associated with the at least one input signal, at least one connection network associated with the at least one neuron-like node wherein the at least one connection network comprises a plurality of interconnected connections, such that each connection of the plurality of interconnected connections is strengthened or weakened according to an application of an electric field. In some cases, the threshold can include a threshold below which the at least one output signal is not generated and above which the at least one output signal is generated. | 06-14-2012 |
20120175583 | MEMRISTOR APPARATUS - A memristor apparatus comprising a plurality of meta-stable switching elements. | 07-12-2012 |
20120191438 | METHODS AND SYSTEMS FOR THERMODYNAMIC EVOLUTION - Methods and systems for thermodynamic evolution. Adaptive control systems are constructed based on the property of volatile matter to self-organize to maximize the dissipation of energy. The logical state of sensory nodes in a node circuit are set and projected into a network. Then, the system evaluates logical state of processing nodes by summing input currents of processing nodes and project processing node's state into network. The strength of processing node is increased such that logical state of sensory node matches with logical states of processing node by utilizing plasticity rule. The system is configured to maximize energy dissipation by creating weight structures to stabilize nodes with logical state. The internal positive feedback of node circuit forces competition between nodes such that one node is driven to high logical state and other nodes to low logical state. | 07-26-2012 |
20130218815 | METHODS AND SYSTEMS FOR FEATURE EXTRACTION - A method and system for extracting feature utilizing an AHaH module (Anti-Hebbian and Hebbian). A sparse input data stream can be presented to a synaptic matrix of a collection of AHaH nodes associated with the AHaH module. The AHaH module operates an AHaH plasticity rule via an evaluate phase and a feedback phase cycle. A bias input line can be modulated such that a bias weight do not receive a Hebbian portion of the weight update during the feedback phase in order to prevent occupation of a null state. The input space can be bifurcated when the AHaH nodes fall randomly into an attractor state. The output of the AHaH module that forms a stable bit pattern can then be provided as an input to a content-addressable memory for generating a maximally efficient binary label. | 08-22-2013 |
20130258905 | SELF-EVOLVABLE LOGIC FABRIC - Methods and systems for achieving self-organized growth of a logic pathway. A number of hardware modules that represents a core can be configured and communicated via a packet routing architecture. Each core includes a plurality of sub-modules that interact dynamically to a growth algorithm. A flow network can be created between a sensor input and a prediction of a desired sensor input and a link can be formed between a regularity within a core and another core via a link-flow-selection process. A digital data packet can be transmitted between the cores for communicating activation of the regularity and to exchange energy. Such physically-self organized circuit fabric system interacts dynamically to a growth algorithm that takes the input to produce a desired output and continuously self-repair and/or heal if damaged. | 10-03-2013 |
20130275358 | METHODS AND SYSTEMS FOR FRACTAL FLOW FABRIC - A fractal flow fabric can include a substrate for growing at least one procedure, and a plurality of nodes formed on said substrate, wherein each node among said plurality of nodes connects to each other through at least one flow-stabilized link to grow said at least one procedure and automatically solve a problem via said at least one procedure. | 10-17-2013 |
20130289902 | ANOMALY DETECTION UTILIZING ENERGY FLOW NETWORKS - A fabric of cores can be configured to spontaneously organize internal structure that mirrors the spatial-temporal causal structure of the data stream that is injected into the fabric. The mechanism is that of a self-organizing energy dissipating structure such that the energetic source is the injected signals and the energetic sink is the collisions of signals in cores. An adaptive routing architecture is further possible such that energy is preferentially allocated in the direction of maximal energy sink. By measuring the energy dissipation rate, anomalies may be detected by comparing to a set threshold. | 10-31-2013 |
20140006323 | EXTENSIBLE ADAPTIVE CLASSIFICATION FRAMEWORK | 01-02-2014 |
20140156576 | MEMRISTIVE NEURAL PROCESSOR UTILIZING ANTI-HEBBIAN AND HEBBIAN TECHNOLOGY - An AHaH (Anti-Hebbian and Hebbian) apparatus for use in electronic circuits. Such an AHaH apparatus can include one or more meta-stable switches, and one or more differential pairs of output electrodes, wherein each electrode among each differential pair of output electrodes can include one or more input lines coupled thereto via one or more of the meta-stable switch. | 06-05-2014 |
20140192587 | THERMODYNAMIC BIT FORMED OF TWO MEMRISTORS - A thermodynamic bit apparatus, method and system. A thermodynamic bit is a device that returns a true or false state with a probability that depends on its internal state, which can be controlled via the application of positive feedback. A thermodynamic bit can include two or more memristors connected in series. A forward bias can be applied to the thermodynamic bit to read the state of the thermodynamic bit. A negative feedback can be applied to the thermodynamic bit during application of a forward bias to the thermodynamic bit. Also, a reverse bias can be applied to the thermodynamic bit to refresh or reinforce the state of the thermodynamic bit. | 07-10-2014 |
20150019467 | FRAMEWORK FOR THE EVOLUTION OF ELECTRONIC NEURAL ASSEMBLIES TOWARD DIRECTED GOALS - Methods and systems for the evolution of electronic neural assemblies toward directed goals. A compact computing architecture includes electronics that allows users of such an architecture to create autonomous agents, in real or virtual world and add intelligence to machines. An intelligent machine is composed of four basic modules: one or more sensors, one or more motors, a (Reward Input Output System) RIOS and a cortex. A number of genetically evolved detectors can project both to cortex and RIOS. At first the neurons within the cortex evolve to predict the structure of the sensory data followed by the structure of proprioceptive activations of its own motor system. Finally, once the cortex has learned its sensory and motor programs, it evolves to predict the reward signals, which comes in multiple channels but is dominated by the detection of the aquisition of free-energy. | 01-15-2015 |
20150019468 | THERMODYNAMIC COMPUTING - Methods and systems for thermodynamic computing based on the attractor dynamics of volatile dissipative electronics attempting to maximize circuit power consumption. A general model of memristive devices based on collections of metastable switches, adaptive synaptic weights can be formed from a differential pair of memristors and modified according to anti-hebbian and hebbian plasticity. The arrays of synaptic weights can be employed to build a neural node circuit with attractor states that are shown to be logic functions forming a computationally complete set. By configuring the attractor states of the computational building block in different ways, high-level machine learning functions can be demonstrated for real-world applications. | 01-15-2015 |
20150074029 | ktRAM DESIGN - A ktRAM architecture comprising a memory wherein each input synapse or “bit” of the memory interacts on or with a common electrode through a common “dendritic” electrode, and wherein each input can be individually driven. Each input constitutes a memory cell driving a common electrode. One or more AHaH nodes can be provided wherein read out of data is accomplished via a common summing electrode through memristive components and wherein multiple input cells are simultaneously active. | 03-12-2015 |