Hey, I’m Nathan…

and this is my "Digital Diffusion" - a place to share my real-life successes, failures, and paths traveled on this crazy journey we call life.

I’m passionate about connecting the digital and physical to ACTUALLY improve the world. Research and proof-of-concepts do NOT equal production and valuable impact - there’s lots of hype and noise when it comes to new technologies in any industry. I work with some of the brightest minds across the globe to identify the real opportunities for positive impact and to simplify the complexity of getting innovative ideas into production.

Nate's Notes - Latest

Published on
November 16, 2023
Lightning-Fast Development with Intel's Developer Clouds
Hardware Intel Cloud Intel-Developer-Cloud IDC
Intel is providing access to its leading-edge hardware and software technologies with its new developer cloud offerings. Aimed at providing developers with the necessary resources and tools to accelerate application development, these offerings promise a streamlined and efficient workflow.
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Published on
March 28, 2023
Boost Solution Performance by Knowing What Your Software is Running On
AI Machine-Learning Data-Science Hardware Colab Python GCP
When developing software, understanding the system on which your software runs is paramount. By tapping into hardware and system details, developers can tailor applications to leverage maximum performance. Here's a guide on how to use Python to retrieve this information.
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Published on
March 21, 2023
OCR Magic with Python: Harnessing Text from Images with Ease
AI Machine-Learning Data-Science Computer-Vision OCR Python
In our digital age, precise and swift text extraction from images is transforming industries. Explore OCR and top Python libraries for extracting insights from images. This guide will illuminate Python's prowess in effortless text extraction, enhancing your digitization and extraction efforts.
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Published on
March 14, 2023
Unraveling the Power of Graph Neural Networks: From Nodes to Knowledge with the Top Python Libraries
AI Machine-Learning Data-Science Graphs GNN Python
GNNs are tailored deep learning models for graphs, propagating info, using message passing, and multiple layers to capture complex dependencies. Variants like GCNs, GATs, and Graph Transformers find applications in diverse fields, enabling DL advancements in intricate graph data modeling.
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Published on
March 7, 2023
Structuring Complexity with Graphs and Graph Analytics
AI Machine-Learning Data-Science Graphs Graph-Analytics Python
Dive into a web of insights and discover how graphs, graph analytics, and cutting-edge Python libraries are illuminating the hidden connections in your data. From social networks to recommendation engines to biology, learn how you can simplify complexity through graph-based, data-driven decisions.
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Published on
February 28, 2023
Geospatial Data - Trends, Innovative Applications, and Python Libraries that are Transforming Location-based Services and More
AI Machine-Learning Data-Science Geospatial Python
The use of geospatial data is highly complex but the impact across industries is even more transformative. Here's a quick overview of some of what it is, the trends in industries, and some of the main Python libraries to help accelerate your innovation.
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Hey, I’m Nathan…

Nate's Notes - Latest

Lightning-Fast Development with Intel's Developer Clouds

Boost Solution Performance by Knowing What Your Software is Running On

OCR Magic with Python: Harnessing Text from Images with Ease

Unraveling the Power of Graph Neural Networks: From Nodes to Knowledge with the Top Python Libraries

Structuring Complexity with Graphs and Graph Analytics

Geospatial Data - Trends, Innovative Applications, and Python Libraries that are Transforming Location-based Services and More