Category: Machine Learning
What is distillation?
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
Distillation in AI Models Ignites Innovation
In the context of Artificial Intelligence (AI), distillation refers to a technique used to transfer knowledge from one model to another, typically for the purpose of improving efficiency, reducing computational requirements … Continue readingDistillation in AI Models Ignites Innovation
MEVIAOS
I am particularly interested in Operating Systems, I personally have worked on Linux and Windows systems since the 1990s. I began working with Linux in 1995, Slackware linux and other versions that required 6-10 floppy drivers until the CD ROMS will be available. Recently, I have wondered if there is a way to create an operating system that is fully
Artificial Intelligence in Modern Wireless Communications
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
Anemometer Computer Vision – Wind Speed
Anemometer Computer vision is a method to determine Wind Speed with analysis of frames captured in a camera, I filed for patent on this not so long ago. Back in April 2018, I participated in “Emerge America’s” Hackathon with a project called “Augmented Reality Anemometer” that used Augmented Reality (AR) to capture video frames from the ARKit and computed the
An Augmented Reality Anemometer – First Update
An Augmented Realty Anemometer was presented by me during the “Emerge Americas Hackathon 2018,” the theme was “Miami Resilience” and specially with all the hurricane events in Florida a key element in those weather reports is the classic anemometer and wind speed measurements. As we all know, anything over “Tropical Storm” and Floridians prepare for the worst as our waters
Continue readingAn Augmented Reality Anemometer – First Update
Predicting Network Traffic using Radial-basis Function Neural Networks – Fractal Behavior
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