A hand wearable body squeegee comprising a glove portion, a concave squeegee band, and a linear squeegee band.
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| Application No. | Application Title | Issue Date |
| 20120011087 | METHODS AND SYSTEMS FOR REPLACEABLE SYNAPTIC WEIGHT STORAGE IN NEURO-PROCESSORS Certain embodiments of the present disclosure support techniques for storing synaptic weights separately from a neuro-processor chip into a replaceable storage. The replaceable synaptic memory gives a unique functionality to the neuro-processor and improves its flexibil... | 01/12/2012 |
| 20110289034 | Neural Processing Unit The subject matter disclosed herein provides methods, apparatus, and articles of manufacture for neural-based processing. In one aspect, there is provided a method. The method may include reading, from a first memory, context information stored based on at least one con... | 11/24/2011 |
| 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... | 06/30/2011 |
| 20110004579 | Neuromorphic Circuit Embodiments of the present invention are directed to neuromorphic circuits containing two or more internal neuron computational units. Each internal neuron computational unit includes a synchronization-signal input for receiving a synchronizing signal, at least one inpu... | 01/06/2011 |
| 20100317400 | PROACTIVE CONTROL OF MOBILE COMMUNICATIONS DEVICES At least one embodiment of the invention addresses the problem of accidental user operation (e.g., dialing) of a mobile communication device such as a mobile telephone. In this regard, embodiments of the invention provide a proactive solution for preventing unintended o... | 12/16/2010 |
| 20100312735 | IMPLEMENTING A NEURAL ASSOCIATIVE MEMORY BASED ON NON-LINEAR LEARNING OF DISCRETE SYNAPSES This invention is in the field of machine learning and neural associative memory. In particular the invention discloses a neural associative memory structure for storing and maintaining associations between memory address patterns and memory content patterns using a neu... | 12/09/2010 |
| 20100312736 | Critical Branching Neural Computation Apparatus and Methods A neural network comprising artificial neurons interconnected by connections, wherein each artificial neuron is configured to receive an input signal from and send an output signal to one or more of the other artificial neurons through one of the connections; each input... | 12/09/2010 |
| 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... | 11/04/2010 |
| 20100217733 | NEURON DEVICE, NEURAL NETWORK DEVICE, FEEDBACK CONTROL DEVICE, AND INFORMATION RECORDING MEDIUM In order to utilize variable neuron thresholds and extended Hebb's rule in a neural network for proper control, a neuron device (101) for simulating a nerve cell comprises a threshold storage unit (102) storing a threshold variable θ and two threshold coe... | 08/26/2010 |
| 20100198765 | PREDICTION BY SINGLE NEURONS Associative plasticity rules are described to control the strength of inputs to an artificial neuron. Inputs to a neuron consist of both synaptic inputs and non-synaptic, voltage-regulated inputs. The neuron's output is voltage. Hebbian and anti-Hebbian-type plasticity ... | 08/05/2010 |
| 20100198766 | Nano-Electric Synapse and Method for Training Said Synapse The invention relates to an electric synapse that comprises a main conductor with a predetermined potential V1, a secondary conductor said secondary conductor having a potential VX1+ that can vary between Vref−Vn and Vref+Vn, Vref being the reference... | 08/05/2010 |
| 20100179671 | SYSTEM AND METHOD FOR EMBEDDING EMOTION IN LOGIC SYSTEMS A system, method, and computer readable-media for creating a stable synthetic neural system. The method includes training an intellectual choice-driven synthetic neural system (SNS), training an emotional rule-driven SNS by generating emotions from rules, incorporating ... | 07/15/2010 |
| 20100169254 | SYSTEM AND METHOD FOR CALIBRATING RADIO FREQUENCY POWER OF COMMUNICATION DEVICES A radio frequency (RF) calibrating system and a method for calibrating RF power of communication devices are provided. The method collects RF signals transmitted from the communication devices, and generates a group of training samples by retrieving measurement data fro... | 07/01/2010 |
| 20100088074 | MODELING OF THE RADIATION BELT MEGNETOSPHERE IN DECISIONAL TIMEFRAMES The calculation of L* in the magnetosphere can be calculated with essentially the same accuracy as with a physics based model at many times the speed by developing a surrogate trained to be a surrogate for the physics-based model. The trained model can then beneficially... | 04/08/2010 |
| 20100042567 | METHOD FOR OPERATING ELECTRONIC BRAIN MODEL WITH REINFORCEMENT MEMORY A method of emulating the human brain with its thought and rationalization processes is presented here, as well as a method of storing human-like thought. The invention provides for inclusion of psychological profiles, experience and societal position in an electronic e... | 02/18/2010 |
| 20100042566 | ELECTRONIC BRAIN MODEL WITH NEURON TABLES A method of emulating the human brain with its thought and rationalization processes is presented here, as well as a method of storing human-like thought. The invention provides for inclusion of psychological profiles, experience and societal position in an electronic e... | 02/18/2010 |
| 20090326833 | Apparatus An apparatus includes a deformable structure in which a neural network comprising a plurality of deformation sensors, e.g. nanowire sensors, and distributed in-situ processing circuits. The circuits generate a signal characterising features of the local deformation of t... | 12/31/2009 |
| 20090313195 | Artificial neural network architecture An artificial neural network apparatus comprising an array of neural units, each comprising a router, at least one neuron device and at least one synapse unit. The routers of respective neural units communicate with one another using data packets. The synapse units rece... | 12/17/2009 |
| 20090287624 | SPATIO-TEMPORAL PATTERN RECOGNITION USING A SPIKING NEURAL NETWORK AND PROCESSING THEREOF ON A PORTABLE AND/OR DISTRIBUTED COMPUTER A system and method for characterizing a pattern, in which a spiking neural network having at least one layer of neurons is provided. The spiking neural network has a plurality of connected neurons for transmitting signals between the connected neurons. A model for indu... | 11/19/2009 |
| 20090228416 | HIGH DENSITY SYNAPSE CHIP USING NANOPARTICLES A physical neural network synapse chip and a method for forming such a synapse chip. The synapse chip can be configured to include an input layer comprising a plurality of input electrodes and an output layer comprising a plurality of output electrodes, such that the ou... | 09/10/2009 |
| 20090171874 | METHOD AND APPARATUS FOR CONFIGURING A COMMUNICATION CHANNEL A method of configuring a communication channel prior to the transmission of an input signal along the communication channel, the communication channel comprising a plurality of sub-channels, the method comprising determining the strength of the input signal and in acco... | 07/02/2009 |
| 20090132451 | Prediction by Single Neurons and Networks An artificial neuron integrates current and prior information, each of which predicts the state of a part of the world. The neuron's output corresponds to the discrepancy between the two predictions, or prediction error. Inputs contributing prior information are selecte... | 05/21/2009 |
| 20090094180 | METHOD OF REAL-TIME CRYSTAL PEAK TRACKING FOR POSITRON EMISSION TOMOGRAPHY (PET) AVALANCHE-PHOTODIODES (APD) DETECTOR The present invention provides a method of real-time crystal peak tracking for avalanche-photodiode (APD) detectors on positron emission tomography (PET) scanners that satisfies the need to compensate for the significant gain drifting due to thermal variations in APD de... | 04/09/2009 |
| 20080228683 | Activity-Dependent Generation of Simulated Neural Circuits A simulated neural circuit includes a plurality of simulated neurons. The simulated neurons have input branches that are configured to connect to a plurality of inputs and activate in response to activity in the inputs to which they are connected. In addition, the simul... | 09/18/2008 |
| 20080228682 | Generating Simulated Neural Circuits A first array of simulated neurons having trees of output branches and a second array of simulated neurons having trees of input branches are generated. Thereafter, the output branches of one or more of the simulated neurons of the first array and the input branches of ... | 09/18/2008 |
| 20080154822 | Systems and methods for creating an artificial neural network A neural network system is described. The neural network system includes an artificial neural network including a plurality of neurons. One of the neurons includes an analog electrical circuit and the neurons are interconnected.... | 06/26/2008 |
| 20080040303 | Builders on-line assistant A method and apparatus are provided for servicing customers of a plurality of builders or a plurality of builders through a third-party website provider. The method includes the steps of the plurality of builders providing product offerings to customers through a first ... | 02/14/2008 |
| 20070282773 | Method And System Of Monitoring And Prognostics A neural network learns the operating modes of a system being monitored under normal operating conditions. Anomalies can be automatically detected and learned. A control command can be issued or an alert can be issued in response thereto. ... | 12/06/2007 |
| 20070255669 | Method of marketing intangible and tangible products A method of marketing tangible and intangible products using existing devices and networks. Product information is transmitted along with content by radio stations. The information is displayed or is sent by text message to an integrated mobile telephone, radio, multime... | 11/01/2007 |
| 20060212414 | Artificial intelligence system for genetic analysis The present invention provides a complete artificial intelligence system for the acquisition and analysis of nucleic acid array hybridization information. The system includes a central data processing facility and one or more user facilities, linked by encrypted connect... | 09/21/2006 |
| 20060149692 | Neural networks with learning and expression capability A neural network comprising a plurality of neurons in which any one of the plurality of neurons is able to associate with itself or another neuron in the plurality of neurons via active connections to a further neuron in the pluarlity of neurons. ... | 07/06/2006 |
| 20060034482 | Apparatus and method for displaying images The present invention relates to an apparatus and a device for displaying images. It is known to inlay a pattern of watermark type into the sequence of images to be displayed so as to combat the copying of images by picture-taking. This inlaying consists in modulating t... | 02/16/2006 |
| 20060004681 | Artificial neuron with phase-encoded logic An artificial neuron includes an aggregator that combines a plurality of input signals. The value state of each of the input signals is encoded in a phase thereof. The artificial neuron also includes an actuator in communication with the aggregator. The actuator is conf... | 01/05/2006 |
| 20050256815 | Medical applications of adaptive learning systems using gene expression data A neural network module is provided. It comprises an input layer comprising one or more input nodes configured to receive gene expression data. It also has a rule base layer comprising one or more rule nodes and an output layer comprising one or more output nodes config... | 11/17/2005 |
| 20050256816 | Solution-based apparatus of an artificial neural network formed utilizing nanotechnology An apparatus for maintaining components in neural network formed utilizing nanotechnology is described herein. A connection gap can be formed between two terminals. A solution comprising a melting point at approximately room temperature can be provided, wherein the solu... | 11/17/2005 |
| 20050240542 | Evolvable sythetic neural system An evolvable synthetic neural system includes an evolvable neural interface operably coupled to at least one neural basis function. Each neural basis function includes an evolvable neural interface operably coupled to a heuristic neural system to perform high-level func... | 10/27/2005 |
| 20050203947 | Imposing and recovering correlithm objects Manipulating correlithm objects includes establishing correlithm objects of an N-dimensional space, where a correlithm object is a point of the space. The correlithm objects are imposed on the space to yield a combined point. An imposed correlithm object is compared to ... | 09/15/2005 |
| 20050151615 | Variable resistor apparatus formed utilizing nanotechnology A variable resistor apparatus includes a plurality of nanoparticles disposed between two terminals, wherein the plurality of nanoparticles provides an electrical resistance. An electric field applied to the plurality of nanoparticles across the two terminals results in ... | 07/14/2005 |
| 20050149465 | Temporal summation device utilizing nanotechnology A temporal summation device can be composed of one or more nanoconnections having an input and an output thereof, wherein an input signal provided to the input causes one or more of the nanoconnection to experience an increase in connection strength thereof over time. A... | 07/07/2005 |
| 20050149463 | Method of training a neural network and a neural network trained according to the method A neural network comprises trained interconnected neurons. The neural network is configured to constrain the relationship between one or more inputs and one or more outputs of the neural network so the relationships between them are consistent with expectations of the r... | 07/07/2005 |