ML MeetUp Events

List of meeting can be found on Gem City TECH MeetUp page under Gem City Machine Learning.

Spiking Neural Networks (SNN)

Spiking Neural Networks (SNN)

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…


DoD focused Machine Learning (ML) Collider

DoD focused Machine Learning (ML) Collider

Note: New Location, DATE and Time. This event only.

The WBI Machine Learning Collider will be a collaboration between Gem City ML and WBI and will be on Wednesday, May 17th from 2-4pm at WBI.

The Wright Brothers Institute (WBI)…


Lightning Talks

Lightning Talks

Several speakers will give short presentations.

  • Michael Krumm: AI and 3D reconstructions
  • Evelyn Boettcher: Design Experiments: Multi-Arm Bandit.
  • Allen May: Data Version Control
  • Nick Mackowski: Extracting Data

Future Topic ideas:

  • MLFlow: Brief overview what it is and…

AI Pong

AI Pong

2023 can't be all AI work and no play.

Nate Denlinger will talk about how he built an AI pong game from scratch!

Typically, AI/ML engineers use an ML framework: TensorFlow, Keras, PyTorch etc. to build their networks.
Nate wanted…




GANs: AI art

GANs: AI art

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.

In this…


Tutorial: k-mean and GMM

Tutorial: k-mean and GMM

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.




CO2

CO2

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…


Robust Adaptive Autonomous Systems

Robust Adaptive Autonomous Systems

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…


Magnetic Navigation

Magnetic Navigation

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.

To Learn More see MIT Magnav





Caution with ML

Caution with ML

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.

We used…


Random: Can ML identify Randomness

Random: Can ML identify Randomness

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…



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