| 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 |
