Cosmos Bennett
Supersymmetric Deep Learning (A New Form Of Deep Learning By Cosmos Bennett) at Self-employed
Jamaica
Summary
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SeniorCosmos Bennett is an innovative AI researcher and maker with 11 years of experience building open-source neural systems, radical UI concepts, and applied AI products from Jamaica. He created "Supersymmetric Deep Learning" and an associated Supersymmetric Artificial Neural Network, pursuing ambitious goals from improving medical and autonomous systems to contributing toward AGI. Cosmos has shipped practical projects including an open-source Covid-19 X-ray diagnostic, a conversational 3D in-car assistant (xSynth), and the Cryptosynth interactive NFT beings, often publishing code and papers to invite collaboration. He also founded Machine Learning Jamaica Institute and writes a recurring Gleaner column to grow local AI capacity, blending visionary theory with hands-on engineering. An unusual strength is his fusion of physics-inspired math, artistic 3D design, and low-energy pragmatism—building interfaces and agents that are as aesthetic as they are computational.
11 years of coding experience
5 years of employment as a software developer
Stackoverflow
301reputation
465kreached
5answers
0questions
Github Skills (101)
medical-image-analysis10
convolutional-neural-networks10
biomedical-image-analysis10
segmentation10
xray9
computer-vision9
python9
artificial-intelligence9
ensemble-learning9
deep-learning8
record-linkage8
entity-resolution8
mxnet7
clustering7
portable7
Programming languages (7)
Github contributions (5)
JordanMicahBennett/SIMPLE-NEURAL-NETWORK
Aug 2015 - Aug 2018
Contributions:76 commits, 222 pushes, 1 branch in 3 years
Contributions:64 commits, 63 pushes, 1 branch in 11 months
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