I’ve been an author on a few papers before, but I recently published the first research project where I was responsible for most of the work and direction. It’s in the first 2024 issue of the journal Artificial Life, which you can find here (I’ll post camera-ready paper here later this year, but for now, you can view the pre-print on arxiv. Below, I tell the chronology of the project and summarize our findings.

An ever-expanding list of concepts in the field of AI to give myself and others an easy reference. Each item in the list contains a short, rudimentary definition I’ve written, as well as a link to a resource that can explain it better. Ablation Study: Removing some parts of a machine learning model to measure impact on performance Advantage Function: The difference between a Q-value for a state-action pair and a value for the state.

Here’s the problem with advertising AI-based technology that doesn’t exist: You cannot promise anything about your product. We’ve all seen AI advertised to the masses that doesn’t work as advertised, just look at any voice-to-text system. When I got my Apple Watch, I hoped to use it to respond to messages without getting distracted by my phone. I quickly realized that wasn’t a viable solution: I had to repeat my message multiple times per text in order to get the correct dictation.