Laser programmable integrated curcuit for forming synapses in neural networks

Fu, Chi Y

Title: Laser programmable integrated curcuit for forming synapses in neural networks

Abstract

Customizable neural network in which one or more resistors form each synapse. All the resistors in the synaptic array are identical, thus simplifying the processing issues. Highly doped, amorphous silicon is used as the resistor material, to create extremely high resistances occupying very small spaces. Connected in series with each resistor in the array is at least one severable conductor whose uppermost layer has a lower reflectivity of laser energy than typical metal conductors at a desired laser wavelength.

Inventors:

Fu, Chi Y ^[1]

San Francisco, CA

Issue Date:: 1997-01-01

Research Org.:: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

OSTI Identifier:: 870831

Patent Number(s):: 5602965

Assignee:: Regents of University of California (Oakland, CA)

Patent Classifications (CPCs):: G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

H - ELECTRICITY H01 - BASIC ELECTRIC ELEMENTS H01L - SEMICONDUCTOR DEVICES

Show more

G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
G06N3/0635 - {using analogue means}

H - ELECTRICITY H01 - BASIC ELECTRIC ELEMENTS H01L - SEMICONDUCTOR DEVICES
H01L27/0802 - {Resistors only}
H01L28/20 - {Resistors}

G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
G06N3/063 - using electronic means

Show less

DOE Contract Number:: W-7405-ENG-48

Resource Type:: Patent

Country of Publication:: United States

Language:: English

Subject:: laser; programmable; integrated; curcuit; forming; synapses; neural; networks; customizable; network; resistors; form; synapse; synaptic; array; identical; simplifying; processing; issues; highly; doped; amorphous; silicon; resistor; material; create; extremely; resistances; occupying; spaces; connected; series; severable; conductor; uppermost; layer; reflectivity; energy; typical; metal; conductors; desired; wavelength; metal conductor; neural network; amorphous silicon; laser energy; highly doped; neural networks; resistor material; metal conductors; uppermost layer; resistors form; synaptic array; forming synapses; metal conduct; neural net; processing issues; customizable neural; laser wavelength; /706/

Citation Formats


                    Fu, Chi Y. Laser programmable integrated curcuit for forming synapses in neural networks.  United States: N. p., 1997. 
        Web.

Copy to clipboard


                    Fu, Chi Y. Laser programmable integrated curcuit for forming synapses in neural networks.  United States.

Copy to clipboard


                    Fu, Chi Y. Wed .  
        "Laser programmable integrated curcuit for forming synapses in neural networks".  United States.  https://www.osti.gov/servlets/purl/870831.

Copy to clipboard


                    
@article{osti_870831,

  title        = {Laser programmable integrated curcuit for forming synapses in neural networks},

  author       = {Fu, Chi Y},

  abstractNote = {Customizable neural network in which one or more resistors form each synapse. All the resistors in the synaptic array are identical, thus simplifying the processing issues. Highly doped, amorphous silicon is used as the resistor material, to create extremely high resistances occupying very small spaces. Connected in series with each resistor in the array is at least one severable conductor whose uppermost layer has a lower reflectivity of laser energy than typical metal conductors at a desired laser wavelength.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {1997},

  month        = {1}

}

Copy to clipboard

Patent:

Save / Share:

Export Metadata

Save to My Library

Works referenced in this record:

Artificial neural networks for computing
journal, January 1986

Jackel, L. D.
Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures, Vol. 4, Issue 1
https://doi.org/10.1116/1.583351

Resistive synaptic interconnects for electronic neural networks
journal, July 1987

Lamb, J. L.; Thakoor, A. P.; Moopenn, A.
Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films, Vol. 5, Issue 4
https://doi.org/10.1116/1.574607

Similar Records in DOE Patents and OSTI.GOV collections:

Laser programmable integrated circuit for forming synapses in neural networks

Patent Fu, C Y

Customizable neural network in which one or more resistors form each synapse is disclosed. All the resistors in the synaptic array are identical, thus simplifying the processing issues. Highly doped, amorphous silicon is used as the resistor material, to create extremely high resistances occupying very small spaces. Connected in series with each resistor in the array is at least one severable conductor whose uppermost layer has a lower reflectivity of laser energy than typical metal conductors at a desired laser wavelength. 5 figs.
Process for forming synapses in neural networks and resistor therefor

Patent Fu, Chi Y [San Francisco, CA]

Customizable neural network in which one or more resistors form each synapse. All the resistors in the synaptic array are identical, thus simplifying the processing issues. Highly doped, amorphous silicon is used as the resistor material, to create extremely high resistances occupying very small spaces. Connected in series with each resistor in the array is at least one severable conductor whose uppermost layer has a lower reflectivity of laser energy than typical metal conductors at a desired laser wavelength.
Full Text Available
Process for forming synapses in neural networks and resistor therefor

Patent Fu, C Y

Customizable neural network in which one or more resistors form each synapse is disclosed. All the resistors in the synaptic array are identical, thus simplifying the processing issues. Highly doped, amorphous silicon is used as the resistor material, to create extremely high resistances occupying very small spaces. Connected in series with each resistor in the array is at least one severable conductor whose uppermost layer has a lower reflectivity of laser energy than typical metal conductors at a desired laser wavelength. 5 figs.
Apparatus and method for fusion of compute and switching functions of exascale system into a single component by using configurable network-on-chip fabric with distributed dual mode input-output ports and programmable network interfaces

Patent Khare, Surhud; Somasekhar, Dinesh; More, Ankit; ...

Described is an apparatus which comprises: a Network-On-Chip fabric using crossbar switches, having distributed ingress and egress ports; and a dual-mode network interface coupled to at least one crossbar switch, the dual-mode network interface is to include: a dual-mode circuitry; a controller operable to: configure the dual-mode circuitry to transmit and receive differential signals via the egress and ingress ports, respectively, and configure the dual-mode circuitry to transmit and receive signal-ended signals via the egress and ingress ports, respectively.
Full Text Available
Integrated circuits with programmable gate timing signal generation for power converters and apparatus comprising the same

Patent Zhang, Xin; Takken, Todd Edward; Wu, Chung-shiang; ...

An apparatus is disclosed that includes a semiconductor device to control a power converter having two or more power FETs. The semiconductor device includes a gate signal generator configured to produce two or more gate signals able to drive the two or more FETs. The gate signal generator has programmable timing configuration parameters to control operation of the two or more gate signals, wherein the timing configuration parameters are digitally programmed via a memory in the semiconductor device. The memory may be implemented with fuses, other non-volatile memory or volatile memory. The parameters may be fixed or updated during amore » « less
Full Text Available

Similar Records

Title: Laser programmable integrated curcuit for forming synapses in neural networks

Abstract

Citation Formats

Artificial neural networks for computing journal, January 1986

Resistive synaptic interconnects for electronic neural networks journal, July 1987

Artificial neural networks for computing
journal, January 1986

Resistive synaptic interconnects for electronic neural networks
journal, July 1987