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  • Continuously learning and optimizing artificial intelligence (AI) adaptive neural network (ANN) computer modeling methods and systems
    Patent number: 11138503
    Abstract: Continuously learning and optimizing artificial intelligence (AI) adaptive neural network (ANN) computer modeling methods and systems, designated human affect computer modeling (HACM) or affective neuron (AN), and, more particularly, to AI methods, systems and devices that can recognize, interpret, process and simulate human reactions and affects such as emotional responses to internal and external sensory stimuli, that provides real-time reinforcement learning modeling that reproduces human affects and/or reactions, wherein the human affect modeling (HACM) can be used singularly or collectively to modeling and predict complex human reactions and affects.
    Type: Grant
    Filed: March 22, 2018
    Date of Patent: October 5, 2021
    Assignee: LARSX
    Inventors: Laurence F. Wood, Lisa S. Wood
  • CONTINUOUSLY LEARNING AND OPTIMIZING ARTIFICIAL INTELLIGENCE (AI) ADAPTIVE NEURAL NETWORK (ANN) COMPUTER MODELING METHODS AND SYSTEMS
    Publication number: 20220101136
    Abstract: Provided are continuously learning and optimizing artificial intelligence (AI) adaptive neural network (ANN) computer modeling methods and systems, designated “human affect computer modeling” (HACM) or “affective neuron” (AN) and, more particularly, to AI methods, systems and devices, that can recognize, interpret, process and simulate human reactions and affects such as emotional responses to internal and external sensory stimuli, that provides real-time reinforcement learning modeling that reproduces human affects and/or reactions, wherein the human affect computer modeling (HACM) can be used singularly or collectively for modeling and predicting complex human reactions and affects.
    Type: Application
    Filed: October 4, 2021
    Publication date: March 31, 2022
    Applicant: LARSX
    Inventors: Laurence F. Wood, Lisa S. Wood
  • CONTINUOUSLY LEARNING AND OPTIMIZING ARTIFICIAL INTELLIGENCE (AI) ADAPTIVE NEURAL NETWORK (ANN) COMPUTER MODELING METHODS AND SYSTEMS
    Publication number: 20210034959
    Abstract: Continuously learning and optimizing artificial intelligence (AI) adaptive neural network (ANN) computer modeling methods and systems, designated human affect computer modeling (HACM) or affective neuron (AN), and, more particularly, to AI methods, systems and devices that can recognize, interpret, process and simulate human reactions and affects such as emotional responses to internal and external sensory stimuli, that provides real-time reinforcement learning modeling that reproduces human affects and/or reactions, wherein the human affect modeling (HACM) can be used singularly or collectively to modeling and predict complex human reactions and affects.
    Type: Application
    Filed: March 22, 2018
    Publication date: February 4, 2021
    Applicant: LARSX
    Inventors: Laurence F. Wood, Lisa S. Wood
  • Continuously learning and optimizing artificial intelligence (AI) adaptive neural network (ANN) computer modeling methods and systems
    Patent number: 11893488
    Abstract: Provided are continuously learning and optimizing artificial intelligence (AI) adaptive neural network (ANN) computer modeling methods and systems, designated “human affect computer modeling” (HACM) or “affective neuron” (AN) and, more particularly, to AI methods, systems and devices, that can recognize, interpret, process and simulate human reactions and affects such as emotional responses to internal and external sensory stimuli, that provides real-time reinforcement learning modeling that reproduces human affects and/or reactions, wherein the human affect computer modeling (HACM) can be used singularly or collectively for modeling and predicting complex human reactions and affects.
    Type: Grant
    Filed: October 4, 2021
    Date of Patent: February 6, 2024
    Assignee: LARSX
    Inventors: Laurence F. Wood, Lisa S. Wood
  • Adjusting neural networks
    Patent number: 4912655
    Abstract: A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an input layer and an output layer. Each unit has a multiplicity of unit inputs and a set of variables for operating upon a unit inputs to provide a unit output. The computer is programmed with a back propagation algorithm. A plurality of examples are serially provided to the network input and the network output is observed. The examples are iterated and proposed changes to each set of variables are calculated in response to feedback representing differences betwen the network output for each example and the desired output. The proposed changes are accumulated for a predetermined number of iterations, whereupon the accumulated proposed changes are added to the set of variables.
    Type: Grant
    Filed: December 14, 1988
    Date of Patent: March 27, 1990
    Assignee: GTE Laboratories Incorporated
    Inventor: Laurence F. Wood
  • Accelerating learning in neural networks
    Patent number: 4912649
    Abstract: A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an input layer and an output layer. Each unit has a multiplicity of unit inputs and a set of variables for operating upon the unit inputs to provide a unit output. A plurality of examples are serially provided to the network input and the network output is observed. The computer is programmed with a back propagation algorithm for adjusting each set of variables in response to feedback representing differences between the network output for each example and the desired output. The examples are iterated while those values which change are identified. The examples are reiterated and the algorithm is applied to only those values which changed in a previous iteration.
    Type: Grant
    Filed: December 14, 1988
    Date of Patent: March 27, 1990
    Assignee: GTE Government Systems Corporation
    Inventor: Laurence F. Wood
  • Neural networks learning method
    Patent number: 4912654
    Abstract: A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an input layer and an output layer. Each unit has a multiplicity of unit inputs and a set of variables for operating upon a unit inputs to provide a unit output in the range positive 1 and negative 1. A plurality of examples are serially provided to the network input and the network output is observed. The computer is programmed with a back propagation algorithm for calculating changes to the sets of variables in response to feedback representing differences between the network output for each example and the desired output. The absolute magnitude of the product of an input and the corresponding output of a unit is calculated.
    Type: Grant
    Filed: December 14, 1988
    Date of Patent: March 27, 1990
    Assignee: Government Systems Corporation GTE
    Inventor: Laurence F. Wood
  • Fast neural network training
    Patent number: 4912652
    Abstract: A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output and having a plurality of interconnected units arranged in layers including an input layer and an output layer. Each unit has a multiplicity of unit inputs and a set of variables for operating upon a unit inputs to provide a unit output in the range between binary 1 and binary 0. A plurality of training examples is serially provided to the network input and the network output is observed. The computer is programmed with a back propagation algorithm for changing each set of variables in response to feedback representing differences between the network output for each example and the desired output. The examples are iterated while the output of a unit is observed.
    Type: Grant
    Filed: December 14, 1988
    Date of Patent: March 27, 1990
    Assignee: GTE Laboratories Incorporated
    Inventor: Laurence F. Wood
  • Speeding learning in neural networks
    Patent number: 4912651
    Abstract: A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an input layer and an output layer. Each unit has a multiplicity of unit inputs and a set of variables for operating upon a unit inputs to provide a unit output. A plurality of examples are serially provided to the network input and the network output is observed. The computer is programmed with a back propagation algorithm for adjusting each set of variables in response to feedback representing differences between the network output for each example and the desired output. The examples are iterated until the signs of the outputs of the units of the output layer converge. Then each set of variables is multiplied by a multiplier. The examples are reiterated until the magnitude of the outputs of the units of the output layer converge.
    Type: Grant
    Filed: December 14, 1988
    Date of Patent: March 27, 1990
    Assignee: GTE Laboratories Incorporated
    Inventors: Laurence F. Wood, Michael J. Grimaldi, Eric D. Peterson
  • Trainable neural network
    Patent number: 4912653
    Abstract: A trainable artificial neural network includes a computer configured as a plurality of interconnected neural units arranged in a layered network. An input layer has a network input and an output layer has a network output. A neural unit has a first subunit and a second subunit, with the first subunit having one or more first inputs and a corresponding first set of variables for operating upon the said first inputs to provide a first output. The first set of variables can change in response to feedback representing differences between desired network outputs and actual network outputs. The second subunit has a plurality second inputs, and a corresponding second set of variables for operating upon said second inputs to provide a second output. The second set of variables can change in response to differences between desired network outputs for selected network inputs and actual network outputs.
    Type: Grant
    Filed: December 14, 1988
    Date of Patent: March 27, 1990
    Assignee: GTE Laboratories Incorporated
    Inventor: Laurence F. Wood
  • Neural network training tool
    Patent number: 4912647
    Abstract: A method of training an artificial neural network uses a first computer configured as a plurality of interconnected neural units arranged in a network. A neural unit has a first subunit and a second subunit. The first subunit has first inputs and a corresponding first set of variables for operating upon the first inputs to provide a first output during a forward pass. The first set of variables can change in response to feedback representing differences between desired network outputs and actual network outputs. The second subunit has a plurality of second inputs, and a corresponding second set of variables for operating upon the second inputs to provide a second output. The second set of variables can change in response to differences between desired network outputs for selected network inputs and actual network outputs. The computer provides an activating variable representing the difference between current second output and previous second outputs.
    Type: Grant
    Filed: December 14, 1988
    Date of Patent: March 27, 1990
    Assignee: GTE Laboratories Incorporated
    Inventor: Laurence F. Wood
  • Training neural networks
    Patent number: 4914603
    Abstract: A method of training an artificial neural network uses a computer configured as a plurality of interconnected neural units arranged in a layered network including an input layer having a network input, and an output layer having a network output. A neural unit has a first subunit and a second subunit. The first subunit having one or more first inputs, and a corresponding first set of variables for operating upon the first inputs to provide a first output. The first set of variables can change in response to feedback representing differences between desired network outputs for selected network inputs and actual network outputs. The second subunit has a plurality of second inputs, and a corresponding second set of variables for operating upon said second inputs to provide a second output. The second set of variables can change in response to differences between desired network outputs for selected network inputs and actual network outputs.
    Type: Grant
    Filed: December 14, 1988
    Date of Patent: April 3, 1990
    Assignee: GTE Laboratories Incorporated
    Inventor: Laurence F. Wood
  • Polyvalent pollution removal composition and use thereof
    Patent number: 9938441
    Abstract: A pollution removal composition includes: (a) at least one silica gel; and (b) at least one wood-derived absorbent agent, characterized in that the silica gel has a grain-size distribution of between 60 and 500 ym and a density of between 150 and 400 kg/m3. A pollution removal method using the composition is also described.
    Type: Grant
    Filed: November 28, 2013
    Date of Patent: April 10, 2018
    Assignee: PREVOR INTERNATIONAL
    Inventors: Mathilde Neel, Laurence Mathieu, Joel Blomet, Marie-Claude Meyer
  • Suction and irrigation handpiece and tip with retractable splash shield
    Patent number: 6156004
    Abstract: An apparatus for irrigating a local irrigation site includes a suction/irrigation tip that is removably connected to a suction/irrigation handpiece. The tip has an irrigation tube for directing irrigation liquid to the irrigation site, and a suction tube coaxially aligned within the irrigation tube. The handpiece pumps irrigation liquid from an external reservoir, through the annular space between the irrigation tubes and the suction tube to the irrigation site. Suction is applied to the site through the central suction lumen which has a large unobstructed opening to reduce clogging. A flexible splash shield, slidably mounted to the tip, is conically shaped and extends distally from a collar to a rim. The rim is sized to fit around and about the local site.
    Type: Grant
    Filed: June 18, 1996
    Date of Patent: December 5, 2000
    Assignee: C. R. Bard, Inc.
    Inventors: Laurence W. Tremaine, Robert Sakal, Stephen Albrecht
  • Novel Forms of [R-(R*,R*)]-2-(4-Fluorophenyl)-Beta,Delta-Dihydroxy-5-(1-Methylethyl)-3-Phenyl-4-[(Phenylamino)Carbonyl]-1H-Pyrrole-1-HeptanoicAcid Calcium Salt (2:1)
    Publication number: 20080306282
    Abstract: Novel forms of [R—(R*,R*)]-2-(4-fluorophenyl)-?,?-dihydroxy-5-(1-methylethyl)-3-phenyl-4-[(phenylamino)carbonyl]-1H-pyrrole-1-heptanoic acid hemi calcium salt designated Form XX, Form XXI, Form XXII, Form XXIII, Form XXIV, Form XXV, Form XXVI, Form XXVII, Form XXVIII, Form XXIX, and Form XXX, characterized by their X-ray powder diffraction, solid-state NMR, and/or Raman spectroscopy are described, as well as methods for the preparation and pharmaceutical composition of the same, which are useful as agents for treating hyperlipidemia, hypercholesterolemia, osteoporosis, benign prostatic hyperplasia (BPH) and Alzheimer's disease.
    Type: Application
    Filed: July 11, 2005
    Publication date: December 11, 2008
    Inventors: Joseph F. Krzyzaniak, George M. Laurence, Aeri Park, Kevin J. Quackenbush, Marie L. Reynolds, Peter R. Rose, Timothy A. Woods
  • Forms of [R-(R*,R*)]-2-(4-fluorophenyl)-?,?-dihydroxy-5-(1-methylethyl)-3-phenyl-4-[(phenylamino)carbonyl]-1H-pyrrole-1-heptanoicacid calcium salt (2:1)
    Patent number: 8026376
    Abstract: Novel forms of [R-(R*,R*)]-2-(4-fluorophenyl)-?,?-dihydroxy-5-(1-methylethyl)-3-phenyl-4 -[(phenylamino)carbonyl]-1H-pyrrole-1-heptanoic acid hemi calcium salt designated Form XX, Form XXI, Form XXII, Form XXIII, Form XXIV, Form XXV, Form XXVI, Form XXVII, Form XXVIII, Form XXIX, and Form XXX, characterized by their X-ray powder diffraction, solid-state NMR, and/or Raman spectroscopy are described, as well as methods for the preparation and pharmaceutical composition of the same, which are useful as agents for treating hyperlipidemia, hypercholesterolemia, osteoporosis, benign prostatic hyperplasia (BPH) and Alzheimer's disease.
    Type: Grant
    Filed: July 11, 2005
    Date of Patent: September 27, 2011
    Assignee: Pfizer, Inc.
    Inventors: Joseph F. Krzyzaniak, George M. Laurence, Aeri Park, Kevin J. Quackenbush, Marie L. Reynolds, Peter R. Rose, Timothy A. Woods
  • Novel Forms of [R-(R*,R*)]-2-(4-fluorophenyl)-beta,delta-Dihydroxy-5-(1-Methylethyl)-3-Phenyl-4-[(Phenylmino)Carbonyl]-1H-Pyrrole-1-Heptanoic Acid Calcium Salt (2:1)
    Publication number: 20110301358
    Abstract: Novel forms of [R—(R*,R*)]-2-(4-fluorophenyl)-?,?-dihydroxy-5-(1-methylethyl)-3-phenyl-4-[(phenylamino)carbonyl]-1H-pyrrole-1-heptanoic acid hemi calcium salt designated Form XX, Form XXI, Form XXII, Form XXIII, Form XXIV, Form XXVV, Form XXVI, Form XXVII, Form XXVIII, Form XXIX, and Form XXX, characterized by their X-ray powder diffraction, solid-state NMR, and/or Raman spectroscopy are described, as well as methods for the preparation and pharmaceutical composition of the same, which are useful as agents for treating hyperlipidemia, hypercholesterolemia, osteoporosis, benign prostatic hyperplasia (BPII) and Alzheimer's disease.
    Type: Application
    Filed: August 22, 2011
    Publication date: December 8, 2011
    Applicant: Pfizer Inc.
    Inventors: Joseph F. Krzyzaniak, George M. Laurence, Aeri Park, Kevin J. Quackenbush, Marie L. Reynolds, Peter R. Rose, Timothy A. Woods
  • Liquid material dispensing apparatus and method utilizing pulsed pressurized air
    Patent number: 7886989
    Abstract: An apparatus for dispensing liquid material includes a dispensing module having a liquid supply passage communicating with a supply of liquid material and an air supply passage communicating with a source of pressurized air. A nozzle is coupled to the dispensing module and has a liquid discharge passage and an air discharge passage communicating with the liquid supply passage and the air supply passage, respectively. The liquid material is dispensed from a liquid discharge outlet of the nozzle and pressurized air is directed from an air outlet of the nozzle toward the dispensed liquid material. An air valve coupled to the nozzle is operable to vary the pressure of the air discharged from the air outlet to thereby move the liquid material in a desired pattern. In an exemplary embodiment, the valve is operable to pulse the pressurized air.
    Type: Grant
    Filed: November 4, 2003
    Date of Patent: February 15, 2011
    Assignee: Nordson Corporation
    Inventors: Laurence B. Saidman, Reuben F. Brock
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