Dr. Jeff Clark from RedPoint AI will discuss Spiking Neural Networks (SNN). SNN have the potential to have lower latency and be more computationally efficient. Spiking neural networks are biologically inspired model and are considered a hybrid of neuroscience and…
Zero Sum Games (but one real winner!) December's Machine Learning Group will be loosely based on GANs. GANs (generative adversarial networks) are a class of machine learning frameworks where neural networks (NN) compete in a zero sum game.
Evelyn J. Boettcher will give a tutorial on K-means and Gaussian Mixture model. These methods are used in unsupervised learning and sound a bit scary. This tutorial breaks down what K-means and GMS is and how to apply them.
Dr. Aaron Nielsen will talk on modeling CO2 in office spaces to predict occupancy! ML/AI is more than just inputting data in to get same type of data out. It can be used to predict something new, like feed in…
Dr. Hairong Gu will present his PhD research topic on Robust Adaptive Autonomous Systems (RAAS) for Optimization.
Many complex real-world experimental scenarios, particularly in quest of prediction accuracy, often encounter difficulties to conduct experiments using an existing experimental procedure for…
Challenge Problem: Guest Speaker: Dr. Aaron Nielsen from AFIT will be talking about "Machine Learning for Magnetic Navigation" one of the Air Force AI Accelerator projects.
A walk through a personal project that my family used to protect our child from unauthorized social media posts. Scanning multiple social media posts is too time-consuming for parents to do, however it is not that CPU intensive.
Using ML-AI to test the randomness of a python random number generator.
Since this is our first meetup, I thought I would embrace the randomness. Going to work through a CoLab workbook that will test various random / pseudo random…