Patents by Inventor Alexander Levin
Alexander Levin has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 9652713Abstract: Apparatus and methods for developing parallel networks. Parallel network design may comprise a general purpose language (GPC) code portion and a network description (ND) portion. GPL tools may be utilized in designing the network. The GPL tools may be configured to produce network specification language (NSL) engine adapted to generate hardware optimized machine executable code corresponding to the network description. The developer may be enabled to describe a parameter of the network. The GPC portion may be automatically updated consistent with the network parameter value. The GPC byte code may be introspected by the NSL engine to provide the underlying source code that may be automatically reinterpreted to produce the hardware optimized machine code. The optimized machine code may be executed in parallel.Type: GrantFiled: April 4, 2016Date of Patent: May 16, 2017Assignee: QUALCOMM Technologies, Inc.Inventors: Jonathan James Hunt, Oleg Sinyavskiy, Robert Howard Kimball, Eric Martin Hall, Jeffrey Alexander Levin, Paul Bender, Michael-David Nakayoshi Canoy
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Patent number: 9600762Abstract: A method for dynamically setting a neuron value processes a data structure including a set of parameters for a neuron model and determines a number of segments defined in the set of parameters. The method also includes determining a number of neuron types defined in the set of parameters and determining at least one boundary for a first segment.Type: GrantFiled: October 7, 2013Date of Patent: March 21, 2017Assignee: QUALCOMM INCORPORATEDInventors: Anthony Sarah, Jeffrey Alexander Levin
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Publication number: 20170067666Abstract: The invention relates to a field of open-flow solar collectors, and specifically to flat solar collectors with wetting the underneath sides of their solar radiation absorbing plates with liquid heat transfer medium. More specifically, the invention proposes the flat solar collector, which operates with relatively low flow rate of the heat transfer medium on the backside of the solar radiation absorbing plate, with flow in the form of some rivulets. The invention discloses some technical solutions, which restrict meandering rivulets' flow. These technical solutions are based on application of longitudinal strips attached by permanent magnets to the backside of the solar radiation absorbing plate fabricated from ferromagnetic metal.Type: ApplicationFiled: September 8, 2015Publication date: March 9, 2017Inventor: Alexander Levin
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Patent number: 9542643Abstract: Certain aspects of the present disclosure support operating simultaneously multiple super neuron processing units in an artificial nervous system, wherein a plurality of artificial neurons is assigned to each super neuron processing unit. The super neuron processing units can be interfaced with a memory for storing and loading synaptic weights and plasticity parameters of the artificial nervous system, wherein organization of the memory allows contiguous memory access.Type: GrantFiled: May 1, 2014Date of Patent: January 10, 2017Assignee: QUALCOMM INCORPORATEDInventors: Jeffrey Alexander Levin, Venkat Rangan, Erik Christopher Malone
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Patent number: 9542645Abstract: A method for managing synapse plasticity in a neural network includes converting a first set of synapses from a plastic synapse type to a fixed synapse type. The method may also include converting a second set of synapses from the fixed synapse type to the plastic synapse type.Type: GrantFiled: March 27, 2014Date of Patent: January 10, 2017Assignee: QUALCOMM INCORPORATEDInventors: Vikram Gupta, Sarah Paige Gibson, Jeffrey Alexander Levin, Ravindra Manohar Patwardhan, Avijit Chakraborty, William Howard Constable, William Richard Bell, II
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Patent number: 9460385Abstract: Apparatus and methods for activity based plasticity in a spiking neuron network adapted to process sensory input. In one approach, the plasticity mechanism of a connection may comprise a causal potentiation portion and an anti-causal portion. The anti-causal portion, corresponding to the input into a neuron occurring after the neuron response, may be configured based on the prior activity of the neuron. When the neuron is in low activity state, the connection, when active, may be potentiated by a base amount. When the neuron activity increases due to another input, the efficacy of the connection, if active, may be reduced proportionally to the neuron activity. Such functionality may enable the network to maintain strong, albeit inactive, connections available for use for extended intervals.Type: GrantFiled: August 22, 2014Date of Patent: October 4, 2016Assignee: QUALCOMM TECHNOLOGIES INC.Inventors: Filip Piekniewski, Micah Richert, Eugene Izhikevich, Victor Hokkiu Chan, Jeffrey Alexander Levin
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Patent number: 9460384Abstract: Methods and apparatus are provided for effecting modulation using global scalar values in a spiking neural network. One example method for operating an artificial nervous system generally includes determining one or more updated values for artificial neuromodulators to be used by a plurality of entities in a neuron model and providing the updated values to the plurality of entities.Type: GrantFiled: April 23, 2014Date of Patent: October 4, 2016Assignee: QUALCOMM INCORPORATEDInventors: Jeffrey Alexander Levin, Yinyin Liu, Sarah Paige Gibson, Michael Campos, Vikram Gupta, Victor Hokkiu Chan, Edward Hanyu Liao, Erik Christopher Malone
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Patent number: 9436908Abstract: Apparatus and methods for activity based plasticity in a spiking neuron network adapted to process sensory input. In one approach, the plasticity mechanism of a connection may comprise a causal potentiation portion and an anti-causal portion. The anti-causal portion, corresponding to the input into a neuron occurring after the neuron response, may be configured based on the prior activity of the neuron. When the neuron is in low activity state, the connection, when active, may be potentiated by a base amount. When the neuron activity increases due to another input, the efficacy of the connection, if active, may be reduced proportionally to the neuron activity. Such functionality may enable the network to maintain strong, albeit inactive, connections available for use for extended intervals.Type: GrantFiled: February 22, 2013Date of Patent: September 6, 2016Assignee: QUALCOMM TECHNOLOGIES INC.Inventors: Filip Piekniewski, Micah Richert, Eugene Izhikevich, Victor Hokkiu Chan, Jeffrey Alexander Levin
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Patent number: 9418332Abstract: Methods and apparatus are provided for inferring and accounting for missing post-synaptic events (e.g., a post-synaptic spike that is not associated with any pre-synaptic spikes) at an artificial neuron and adjusting spike-timing dependent plasticity (STDP) accordingly. One example method generally includes receiving, at an artificial neuron, a plurality of pre-synaptic spikes associated with a synapse, tracking a plurality of post-synaptic spikes output by the artificial neuron, and determining at least one of the post-synaptic spikes is associated with none of the plurality of pre-synaptic spikes. According to certain aspects, determining inferring missing post-synaptic events may be accomplished by using a flag, counter, or other variable that is updated on post-synaptic firings. If this post-ghost variable changes between pre-synaptic-triggered adjustments, then the artificial nervous system can determine there was a missing post-synaptic pairing.Type: GrantFiled: January 29, 2014Date of Patent: August 16, 2016Assignee: QUALCOMM IncorporatedInventors: Jason Frank Hunzinger, Jeffrey Alexander Levin
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Publication number: 20160217370Abstract: Apparatus and methods for developing parallel networks. Parallel network design may comprise a general purpose language (GPC) code portion and a network description (ND) portion. GPL tools may be utilized in designing the network. The GPL tools may be configured to produce network specification language (NSL) engine adapted to generate hardware optimized machine executable code corresponding to the network description. The developer may be enabled to describe a parameter of the network. The GPC portion may be automatically updated consistent with the network parameter value. The GPC byte code may be introspected by the NSL engine to provide the underlying source code that may be automatically reinterpreted to produce the hardware optimized machine code. The optimized machine code may be executed in parallel.Type: ApplicationFiled: April 4, 2016Publication date: July 28, 2016Inventors: Jonathan James HUNT, Oleg SINYAVSKIY, Robert Howard KIMBALL, Eric Martin HALL, Jeffrey Alexander LEVIN, Paul BENDER, Michael-David Nakayoshi CANOY
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Patent number: 9299022Abstract: Apparatus and methods for an extensible robotic device with artificial intelligence and receptive to training controls. In one implementation, a modular robotic system that allows a user to fully select the architecture and capability set of their robotic device is disclosed. The user may add/remove modules as their respective functions are required/obviated. In addition, the artificial intelligence is based on a neuronal network (e.g., spiking neural network), and a behavioral control structure that allows a user to train a robotic device in manner conceptually similar to the mode in which one goes about training a domesticated animal such as a dog or cat (e.g., a positive/negative feedback training paradigm) is used. The trainable behavior control structure is based on the artificial neural network, which simulates the neural/synaptic activity of the brain of a living organism.Type: GrantFiled: August 26, 2014Date of Patent: March 29, 2016Assignee: QUALCOMM TECHNOLOGIES INC.Inventors: Marius Buibas, Charles Wheeler Sweet, III, Mark S. Caskey, Jeffrey Alexander Levin
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Patent number: 9256823Abstract: Efficient updates of connections in artificial neuron networks may be implemented. A framework may be used to describe the connections using a linear synaptic dynamic process, characterized by stable equilibrium. The state of neurons and synapses within the network may be updated, based on inputs and outputs to/from neurons. In some implementations, the updates may be implemented at regular time intervals. In one or more implementations, the updates may be implemented on-demand, based on the network activity (e.g., neuron output and/or input) so as to further reduce computational load associated with the synaptic updates. The connection updates may be decomposed into multiple event-dependent connection change components that may be used to describe connection plasticity change due to neuron input. Using event-dependent connection change components, connection updates may be executed on per neuron basis, as opposed to per-connection basis.Type: GrantFiled: July 27, 2012Date of Patent: February 9, 2016Assignee: QUALCOMM TECHNOLOGIES INC.Inventors: Oleg Sinyavskiy, Vadim Polonichko, Eugene Izhikevich, Jeffrey Alexander Levin
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Patent number: 9238978Abstract: Disclosed are systems and methods useful in waste processing. Disclosed is the use of a regenerative thermal oxidation (RTO) unit for production of industrially useable steam. Disclosed are systems including a stripping unit associated with a regenerative thermal oxidation (RTO) unit so that the stripping unit provides fuel for the RTO unit and the RTO unit provides a stripping gas for the stripping unit. Disclosed are systems including an RTO unit providing steam to operate a vapor condensation (VC) unit.Type: GrantFiled: August 31, 2006Date of Patent: January 19, 2016Assignee: Elcon Recycling Center (2003) Ltd.Inventor: Alexander Levin
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Publication number: 20150324687Abstract: Apparatus and methods for an extensible robotic device with artificial intelligence and receptive to training controls. In one implementation, a modular robotic system that allows a user to fully select the architecture and capability set of their robotic device is disclosed. The user may add/remove modules as their respective functions are required/obviated. In addition, the artificial intelligence is based on a neuronal network (e.g., spiking neural network), and a behavioral control structure that allows a user to train a robotic device in manner conceptually similar to the mode in which one goes about training a domesticated animal such as a dog or cat (e.g., a positive/negative feedback training paradigm) is used. The trainable behavior control structure is based on the artificial neural network, which simulates the neural/synaptic activity of the brain of a living organism.Type: ApplicationFiled: August 26, 2014Publication date: November 12, 2015Inventors: Marius Buibas, Charles Wheeler SWEET III, Mark S. CASKEY, Jeffrey Alexander LEVIN
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Patent number: 9177246Abstract: Apparatus and methods for an extensible robotic device with artificial intelligence and receptive to training controls. In one implementation, a modular robotic system that allows a user to fully select the architecture and capability set of their robotic device is disclosed. The user may add/remove modules as their respective functions are required/obviated. In addition, the artificial intelligence is based on a neuronal network (e.g., spiking neural network), and a behavioral control structure that allows a user to train a robotic device in manner conceptually similar to the mode in which one goes about training a domesticated animal such as a dog or cat (e.g., a positive/negative feedback training paradigm) is used. The trainable behavior control structure is based on the artificial neural network, which simulates the neural/synaptic activity of the brain of a living organism.Type: GrantFiled: March 14, 2013Date of Patent: November 3, 2015Assignee: QUALCOMM TECHNOLOGIES INC.Inventors: Marius Buibas, Charles Wheeler Sweet, III, Mark S. Caskey, Jeffrey Alexander Levin
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Patent number: 9173638Abstract: A method for diagnosis includes capturing a sequence of two-dimensional ultrasound images of a moving organ within a body of a patient. At least one contour of the organ is identified in a succession of the images in the sequence and is processed to generate an output indicative of motion of the organ over time.Type: GrantFiled: May 23, 2008Date of Patent: November 3, 2015Assignee: Biosense Webster, Inc.Inventors: Assaf Govari, Andres Claudio Altmann, Alexander Levin
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Patent number: 9177245Abstract: Apparatus and methods for learning in response to temporally-proximate features. In one implementation, an image processing apparatus utilizes bi-modal spike timing dependent plasticity in a spiking neuron network. Based on a response by the neuron to a frame of input, the bi-modal plasticity mechanism is used to depress synaptic connections delivering the present input frame and to potentiate synaptic connections delivering previous and/or subsequent frames of input. The depression of near-contemporaneous input prevents the creation of a positive feedback loop and provides a mechanism for network response normalization.Type: GrantFiled: February 8, 2013Date of Patent: November 3, 2015Assignee: QUALCOMM TECHNOLOGIES INC.Inventors: Micah Richert, Filip Piekniewski, Eugene Izhikevich, Sach Sokol, Victor Hokkiu Chan, Jeffrey Alexander Levin
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Patent number: 9165245Abstract: Apparatus and methods for partial evaluation of synaptic updates in neural networks. In one embodiment, a pre-synaptic unit is connected to a several post synaptic units via communication channels. Information related to a plurality of post-synaptic pulses generated by the post-synaptic units is stored by the network in response to a system event. Synaptic channel updates are performed by the network using the time intervals between a pre-synaptic pulse, which is being generated prior to the system event, and at least a portion of the plurality of the post synaptic pulses. The system event enables removal of the information related to the portion of the post-synaptic pulses from the storage device. A shared memory block within the storage device is used to store data related to post-synaptic pulses generated by different post-synaptic nodes. This configuration enables memory use optimization of post-synaptic units with different firing rates.Type: GrantFiled: May 12, 2014Date of Patent: October 20, 2015Assignee: QUALCOMM TECHNOLOGIES INC.Inventors: Eugene M. Izhikevich, Filip Piekniewski, Jayram Moorkanikara Nageswaran, Jeffrey Alexander Levin, Venkat Rangan, Erik Christopher Malone
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Publication number: 20150286925Abstract: A method for maintaining a state variable in a synapse of a neural network includes maintaining a state variable in an axon. The state variable in the axon may be updated based on an occurrence of a first predetermined event. The method also includes updating the state variable in the synapse based on the state variable in the axon and an occurrence of a second predetermined event.Type: ApplicationFiled: April 8, 2014Publication date: October 8, 2015Applicant: QUALCOMM IncorporatedInventors: Jeffrey Alexander LEVIN, Yinyin LIU, Sandeep PENDYAM, Michael CAMPOS
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Publication number: 20150278683Abstract: A method for managing synapse plasticity in a neural network includes converting a first set of synapses from a plastic synapse type to a fixed synapse type. The method may also include converting a second set of synapses from the fixed synapse type to the plastic synapse type.Type: ApplicationFiled: March 27, 2014Publication date: October 1, 2015Applicant: QUALCOMM IncorporatedInventors: Vikram GUPTA, Sarah Paige GIBSON, Jeffrey Alexander LEVIN, Ravindra Manohar PATWARDHAN, Avijit CHAKRABORTY, William Howard CONSTABLE, William Richard BELL, II