Noah M. Kenney

Noah M. Kenney
Georgia Institute of Technology | GT

Open to collaboration and research opportunities

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8
Publications
2,752
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1
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Introduction
The majority of my research is focused in computer science and electrical engineering, including artificial intelligence and big data processing. Additionally, a portion of my research covers the legal and ethical challenges posed by data collection/storage and algorithmic decision making.

Publications

Publications (8)
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This comprehensive proposal contains seven policies, each designed to be implemented at the secondary school level. This approach of focusing on secondary education is taken in order to increase college matriculation rates (quality education), increase both workforce salaries (decent work and economic growth), and improve industry, innovation, and...
Article
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In this paper, we address how Artificial General Intelligence (AGI) should be developed, deployed, and used in a way that preserves data privacy, reduces risks of AGI harm, and maximizes the positive use cases. We address how to ensure that AGI technologies are utilized as a tool in such a way that humanity retains control. Additionally, we address...
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Human society has long considered the biological stack to be the only life stack. However, the advent of silicon chips has forced us, or at least some of us, to contemplate the possibility of a second life stack-one composed of silicon instead of cells. Interestingly, this silicon stack is the life stack which humanity has come to fear, though the...
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Through this paper, we analyze specific branches of Artificial Intelligence (AI) technologies, such as Machine Learning (ML) and Computer Vision (CV). Specifically, we explore synergies between ML and CV, highlighting how Unified Ant Colony Optimization (ACO) serves as a unifying optimization technique in addressing complex problems within these do...
Article
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First, we begin with a description of the technical architecture of ChatGPT and how it differs from other large scale artificial intelligence language models. From there, we define the current use cases of ChatGPT, followed by an analysis of some of the current limitations of ChatGPT. In particular, we look at the inability of ChatGPT to be creativ...
Article
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This paper analyzes both differential privacy and data de-identification. While differential privacy seeks to create differentially private data through the use of mathematics, data de-identification seeks to anonymize data in such a way that it cannot be re-identified at a later date. In addition, we analyze the challenges of both methods of appro...
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This paper uses mathematics to analyze the challenges of geometrically noisy environments on triangulation. Given widely accepted algorithmic triangulation methods, such as O (n ln n) or a simpler O (n cubed) method, we can mathematically prove that triangulation of any two dimensional polygonal region is possible, albeit impractical in some cases....
Article
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Traditional computational power calculations rely on the assumption that additional processing power is best achieved by a quantatative increase in transistors, and particularly through a quantatative increase in the number of metal-oxide-semiconductor field-effect transistors (MOSFETs). However, advancements in microprocessor architecture could fu...

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