Virtual Paper Review - Measuring Progress Toward AGI
2026-05-13 18:00 - 19:30 (America/Chicago) | AL
Place holder for a virtual paper review

Join us virtually next Wednesday for a focused discussion of two recent AI papers: Google DeepMind’s framework for measuring progress toward AGI and Stanford HAI’s AI Index Report 2026. We’ll look at how AGI is being defined, what the latest AI data actually shows, and what remains hard to measure.

Links:

Measuring Progress Toward AGI: A Cognitive Framework — Google DeepMind PDF
Artificial Intelligence Index Report 2026 — Stanford HAI

Details:

Date – 05/13/2026
Time – 6:00 – 7:30 pm
Google Meet – https://meet.google.com/hrb-vfvr-roq

Built by Claude Code
2026-05-20 18:00 - 19:30 | CohesionForce, 101 Quality Circle, Suite 140, Huntsville, AL, 35806, United States
Good evening,
First off, please note that we will be meeting at CohesionForce this week. We’ll be using the door in the back of the building, so you probably want to park there. The address is below in the details list.
This week David and I will team up to present applications that we have built – nearly entirely with Claude Code.
From David – “Is it possible to create a fully functioning game in Unity3D entirely from user prompts in Claude Code?”. Based on what I have seen David show in the last few weeks, “everything” includes icons, sounds, game play – everything.
The project that I’ve been working on is more of a standard web-based stack (React over FastAPI) all hosted on AWS. The purpose of this project is to explore how available satellite data can be used to provide alerts for farmers based on certain defined events. My piece of the session will focus a bit more on what it is like to manage Claude Code compared with managing a staff of developers.

How the design is captured and presented
How the work is defined and tracked
What the COCOMO II software estimation model says it should have taken to build this instead of just kicking off Claude on the weekends.

Links: N/A
Details:

Date – 05/20/2026
Time – 6:00 – 7:30 pm
Location – CohesionForce
Address – 101 Quality Circle, Suite 140, Huntsville, AL 35806
Google Meet – https://meet.google.com/yjg-hqmr-nas

Future Video Frame Prediction
2026-05-27 18:00 - 19:30 | Deloitte, 3414 Governors Dr SW STE 220, Huntsville, AL, 35805
We will be meeting at Deloitte this week. The best way to park and get to the office is via the large parking lot on the west side of the building (across from Food City). You can enter the building from that side and head upstairs to the 2nd floor. The address is below in the details list.
This week we have Benjamin Robinson presenting his paper “A Mutually Exclusive 3D Convolution Based Time Dilation Framework for Future Frame Prediction in Video Streams of Natural Events” which was published in 2025 IEEE World AI IoT Congress.
The paper introduces a new deep learning framework designed to predict future frames in videos of natural processes. The system achieves this by looking at how objects change both in space (across the image) and over time (from frame to frame)—to inherently learn the underlying physical laws governing the scene.

Links:

Paper – https://ieeexplore.ieee.org/document/11105342

Details:

Date – 05/27/2026
Time – 6:00 – 7:30 pm
Location – Deloitte, Singing River Conference Room
Address – 3414 Governors Dr SW STE 220, Huntsville, AL 35805
Google Meet – https://meet.google.com/das-ksve-vyj

Modal and AWS AI Frameworks
2026-06-03 18:00 - 19:30 | CohesionForce, 101 Quality Circle, Suite 140, Huntsville, AL, 35806, United States
This week we will have two smaller presentations between myself and Matt Brooks. We’ll meet up at CohesionForce again – so come in the back door to our large conference room.
My presentation will be on using Modal to host a serverless AI endpoint with nearly zero setup. The use case we’ll cover is to host a SAM2 model to automatically determine the boundary of a corn field.
Matt Brooks’ presentation introduces Amazon Bedrock and Bedrock AgentCore, AWS services for building and operating generative AI applications and autonomous agents. We will cover the core capabilities of each service, common use cases, and how AgentCore provides a serverless runtime for AI agents similar to how AWS Lambda provides a managed runtime for functions.

Links:

Modal – https://modal.com/
Amazon Bedrock – https://aws.amazon.com/bedrock
Bedrock AgentCore – https://aws.amazon.com/bedrock/agentcore

Details:

Date – 06/03/2026
Time – 6:00 – 7:30 pm
Location – CohesionForce, main conference room
Address – 101 Quality Circle, Suite 140, Huntsville, AL 35806
Google Meet – https://meet.google.com/jpm-abxy-dvc

Casual AI Conversations
2026-06-10 17:30 - 19:30 | Stovehouse, 3414 Governors Dr SW, Huntsville, AL, 35805
This week we’re switching things up. Instead of a focused meetup with presentations, we’ll be having a casual AI discussion night.
Weather permitting, we’ll meet at Stovehouse common area on Wednesday night. David Showalter will be there from 5:30–7:30 PM to facilitate a few tables for the group, unless it’s absolutely storming.
Come on out, grab some food from the restaurant of your choice, and join the conversation. Talk through current AI news, share what you’re building, or just compare notes with the rest of the group. No agenda, no slides — just show up and dig in.
Details:

Date – 06/10/2026
Time – 5:30 – 7:30 pm
Location – Stovehouse
Address – 3414 Governors Dr SW, Huntsville, AL 35805

Virtual Paper Review - AI Agents, Graphs, and Tabletop Worlds
2026-06-17 18:00 - 20:00 | AL
What would it take for an AI to be a useful assistant for a large tabletop campaign simulation? Not just a chatbot that vaguely remembers lore, but a system that knows which NPCs know which secrets, which factions are connected, which rumors came from which source pages, and which claims can actually be checked.

Democratizing Health Data: Digital Signal Processing of PPG Signal
2026-06-24 18:00 - 19:30 | Deloitte, 3414 Governors Dr SW STE 220, Huntsville, AL, 35805
A deep dive into the engineering and life-saving potential of open-source Photoplethysmography (PPG) technology. This presentation explores how custom edge devices and applied machine learning can decode cardiovascular signals to prevent driver impairment, track pilot perfusion, and ultimately democratize health data for patients.
