“Brad is truly a gifted innovator. I worked with him for a decade and was impressed on how talented and driven he is. His machine learning venture will be an industry disruptor and will change the way power plants manage various big data processes. His software will save billions of dollars accross many industries.”
About
Co-Founder of Nuclearn.ai. We help Nuclear Plants and Utilities automate important…
Activity
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The NRC has opened registration for the 5th Data Science and AI Regulatory Applications Workshop: AI Regulatory Framework Applicability…
The NRC has opened registration for the 5th Data Science and AI Regulatory Applications Workshop: AI Regulatory Framework Applicability…
Liked by Bradley Fox
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I am thrilled to introduce my new company, Refered, a passion project that my team and I have dedicated the past six years to developing. Recognizing…
I am thrilled to introduce my new company, Refered, a passion project that my team and I have dedicated the past six years to developing. Recognizing…
Liked by Bradley Fox
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It took me a while to fully realize the value of something my company achieved years ago, and continues to savor today. It’s one of our greatest…
It took me a while to fully realize the value of something my company achieved years ago, and continues to savor today. It’s one of our greatest…
Liked by Bradley Fox
Experience & Education
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Nuclearn
View Bradley’s full experience
See their title, tenure and more.
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Licenses & Certifications
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Cause Analyst
APS
Issued
Patents
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Methods and apparatus for detection of process parameter anomalies
Issued 11080127
Computer system and method for building and deploying models predicting plant asset failure. Methods and apparatus for identifying anomalies in data may operate in conjunction with a processing system and an output. The system may receive actual data and generate nominal data according to the actual data. The system may compare the actual data to the nominal data and identify an outlier in the actual data compared to the nominal data. The output may provide information relating to the…
Computer system and method for building and deploying models predicting plant asset failure. Methods and apparatus for identifying anomalies in data may operate in conjunction with a processing system and an output. The system may receive actual data and generate nominal data according to the actual data. The system may compare the actual data to the nominal data and identify an outlier in the actual data compared to the nominal data. The output may provide information relating to the identified outlier. In various embodiments, the system may include a neural network.
Other inventors -
Honors & Awards
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Best of the Best Top Innovative Practice Award - "Process Automation Using Machine Learning and Artificial Intelligence"
Nuclear Energy Institute
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Chairman's Award 2018
Arizona Public Service
Honored for work in analytics. Highest level of award at APS, given to a few teams/individuals each year.
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Living the Vision Award
Arizona Public Service
Awarded an APS Living the Vision Award by the Vice President of Nuclear Engineering for developing a knowledge transfer and retention tool for the Palo Verde Nuclear Generating Station.
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1 person has recommended Bradley
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