Innovator, Expert Witness, Technology Leader, Entrepreneur, Inventor
How Artificial intelligence an help us find out the amount of calorie intake on foods? and perhaps other details from the food we eat with LLM models such as Qwen2, Llama, or others!! This is our latest blog post covering our recent trip to Barcelona, Spain! In this episode, we dive deep into the local culinary scene, contrasting the world-famous
Continue readingFettle.ai – Healthy AI Eating & Honest Greens in Barcelona
Grok3 review stated by simply asking Grok about myself using the flooring question: “Who is Dr. Edwin A. Hernandez,” The User Interface shows “deep search” widget and a text window appears to connect to several sites, and correctly searches my webpage at “edwinhernandez.com,” followed by a reasoning screen generating several statements that appeared to be accurate.. First, Grok3 combines,
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In this episode we cover TGIF Fridays with AI and EGLAVATOR Project, here is the transcript and a summary from ChatGPT, as follows: First Summary from ChatGPT: The conversation appears to be an informal chat discussing the rise of artificial intelligence (AI) and its widespread adoption across different technologies. They note that public awareness of AI has increased, and AI
Continue readingTGI Friday April 14th, 2023 – Dan Gudema and Dr. Edwin on AI and Innovations.
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
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