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US 2023/0419181 A1Published application
Machine learning using structurally dynamic cellular automata
OwnerMahendrajeet SINGHinventor
Life of this patent
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Abstract
A plurality of environmental inputs is obtained and combined with a model and an attenuation factor to produce a plurality of intermediate outputs. The intermediate outputs are combined with the model and the attenuation factor to produce a plurality of final outputs.
Claims17
A method comprising the steps of:
- (a) obtaining a plurality of environmental inputs;
- (b) combining the obtained plurality of environmental inputs with a model and an attenuation factor to produce a plurality of intermediate outputs;
- and
- (c) combining the plurality of intermediate outputs with the model and the attenuation factor to produce a plurality of final outputs.
1 more element
A Machine Learning system comprising:
- (a) an input register storing a plurality of obtained environmental inputs;
- (b) a model storing associations between ones of the plurality of obtained environmental inputs;
- (c) an attenuator combining attenuation values with the model to produce an attenuated model;
- and
- (d) a combiner producing a plurality of output values based the attenuated model and the plurality of obtained inputs.
2 more elements
Dependencies are inferred from the claim text.