Innovator, Expert Witness, Technology Leader, Entrepreneur, Inventor
This is a summary of my PhD dissertation and research from 2002 derived from this presentation. These are the foundational aspects of the US Patents: 7231330, 7697508, and 8213417. Now, these patents are foundational to 4G, 5G and 6G systems. RAMON: Adaptive Networking for High-Speed Mobility The challenge of maintaining seamless connectivity in Rapidly Mobile Environments, such as high-speed
Are you thinking about beer or wine? Where, distillation is a process used to separate components of a liquid mixture based on differences in their boiling points? Possibly yes, but in the world of Artificial Intelligence, AI-models and LLMs this has a significant new definition. More importantly, what a teacher model is, and how optimization may take place to create
MobileCAD and MobileIPP In late 1999 and early 2000, the question was: ” Is it at all possible to keep an internet connection in a fast moving environment such as in a car or train moving at high speed, while obtaining 1Mbps or even 10Mbps of speed?” Back in 1999, the mobile technology available with “fast” internet was WiFi and
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Interview with Dr. William Hahn and Matt Trask Artificial Intelligence has been evolving and creating new opportunities for innovation, when in the past Artificial Intelligence was just an idea. We discuss at the EGLAVATOR.com studios and EGLACORP.com headquarters how sites like OpenAI, GPT-6, and others have become a reality. The MPCR Lab at FAU is working on several areas (https://mpcrlabs.com/)
Continue readingArtificial Intelligence with Dr. Hahn on TECHEDTV
Artificial Intelligence began first with what at some point was called “Heuristics.” Heuristics were just a set of rules that triggered multiple different examples of execution, for instance, searching and maximizing a tree with different rules, as the algorithm traversed a tree, and the in some ways mimicked “intelligence.” In computer science, artificial intelligence, and mathematical optimization, a heuristic (from
Continue readingArtificial Intelligence in Modern Wireless Communications
Predicting Network Traffic using Radial-basis Function Neural Networks – Fractal Behavior I found a paper about Predicting Network Traffic using RBFNN. I wrote this back in December 2011 regarding Radial-basis Function Neural Networks (RBFNN). Currently, new trends in artificial intelligence are key and RBF-Kernels are in use by machine learning methods and systems. ” Fractal time series can be predicted