Decoding Digital Health: Artificial Intelligence Unveiled—The Science Behind AI

In this episode of Decoding Digital Health, Megan Baca interviews Georgina Suzuki about the technical aspects of AI. The discussion covers the relationship between artificial intelligence, machine learning, neural networks, and deep learning, different types of neural networks like convolutional neural networks, autoencoders, transformers, and diffusion. They also discuss the role of GPUs in AI, the relationship between AI and open source versus closed source software, and the history of neural networks. The conversation also explores how to distinguish genuine AI products from deceptive ones and emphasizes the ethical, moral, and political dimensions of AI, highlighting the importance of these considerations alongside the scientific aspects.