AI generated Dayton Themed Art.
Break down:
Generative Model: Your choice
Discriminator Model: Your Peers
Training set: Your rich knowledge of Dayton
Output: Dayton Themed GAN's / AI generated Art
Prizes: Bragging rights!
Post your art and "How is this…
Dr. Aaron Nielsen will be speaking on a fast (aka auto) way to take a differentiation. In Machine Learning and AI, the gradient descent is a standard technique used during the training phase of a neural network. However gradient descent…
Three speakers giving three distinct talks on Diffusion Models.
Evelyn J. Boettcher will give a high level talk on what diffusion models .
PhD student Daniel Brignac will do a deep dive on the math, followed up with
Wesley Giles…
Time series analysis is a lot in for stock market predictions. Stumpy is a powerful scalable python library (open source) built by TD Ameritrade.
It efficiently (aka Fast, time is money) computes the matrix profile.
…
Join us for an exciting presentation on an innovative technology designed using Large Language Models (LLMs) that revolutionizes the way businesses conduct interviews and collect data. This cutting-edge solution allows businesses to define a set of…
Nick Gerakines will give a tutorial style example scripts to demonstrate some core concepts in tokenizing. This is a necessary first step if you want to train an LLM on your data. The examples are python based and…
When faced with a black box, how does one optimize it's performance when there a numerous variables that you can change? The answer is use Bayesian Optimization (BO). Both software engineers and AL/ML scientists have to deal with…
Two talks!
Wesley Giles is a passionate contributing to the AI/ML community. He is currently involved in project called Autism Armory. Autism Armory is a Generative AI app designed to help offload some of the mental…
Nick Gerakines will talk about running your own LLM. Running your own is pretty easy and there are a lot of tools and platforms that make it possible.
If you have the right hardware, with a little bit of…
Cognitive Think Tank and GemCity ML are co-hosting an event this March 28st. Layla Akilan (Human Machine Teaming SME) will go over a use case of trying to incorporate LLM capabilities to data limited…
A walk through a simple example to test Vertex AI's
transcription accuracy.
and
Evelyn Boettcher do a hands one demo of Google's Teachable Machines
for audio sounds.…
Evelyn J. Boettcher will go through a Google Women Techmakers educational tutorial on how to make an image classifier application with No/Low Code.
This tutorial is…
Wow what a difference a year makes! The world of AI has expanded so much. Last year AI generated art was just taking off. This year it has improved so much. This meetup will be part of GemCity Holiday party…
Evelyn Boettcher will speak about how the QR art generators and QR codes work. It is an excellent example of how generative AI works. She discussed generative AI, QR codes and what tools are available to make your own QR…
Two Topics: One on making some green and the other using "green" AI.
Financial Machine Learning II: Pilar Orellana, In this note, we showcase optimization techniques for an artificial neural network with respect to stock price prediction. If time permits,…
Fast Times at the Hub
AI and FastAPI: Wesley Giles is going to focus his Dynamic Language talk to implementing an AI within a FastAPI application.
Financial Machine Learning I: Pilar Orellana, In this note, we showcase optimization techniques for…
Money money mooonnneeey
Two Speakers this month.
ML Stock Prediction
Description: 'In this note, we provide foundational tools for analyzing and predicting data from S&P500. '
So you want to create a ML Startup, by Evelyn Boettcher:
This will be…
LangChain Example, by David Best:
Code For Dayton is using LangChain to make parsing SQL data easier. This is a work in development civic minded coding example to help the Dayton area communities understand how the properties in a specific…
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…
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)…
Several speakers will give short presentations.
Future Topic ideas:
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…
Excited to announce we have two speakers again for February!
We are going to finish the MLOps Workshop from January.
To get the most out of this meet up please bring a computer with Python and docker installed.
Dr. Richard…
Excited to announce we have two speakers for January! It is jam backed to kick off 2023 strong.
We are going to explore:
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…
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.
To Learn More see MIT Magnav
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…
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…