AI from the Perspective of Computational Neuroscience PhD Students: Part 1
educated but confused by Yassine Filali, Avery Van De Water & Val Soto
Episode notes
Hello ebc–
We are entering a brave new world. Have you seen that movie? If not, it’s a wonderful spectacle (and book). That being said, what are we going to do with the wild, wild, west that is artificial intelligence (AI), especially in science, technology, engineering, and math (STEM) fields.
In today’s episode, we discuss our perspectives and experiences with AI including our current understanding, how we use it within our research workflows, and important caveats to consider. More specifically, we firstly break down how AI models are derived from supervised and unsupervised machine learning, the importance of understanding how these models are built from datasets, and this concept of “crap data in, crap data out.” We then explore the utility of using AI, across individuals, ranging from programmers all the way to lay users, remo ...