I ended up converging towards cognitive developmental robotics, an academic niche that looks into computer models of the early stages of human cognitive development. But back then, AI had rather little connection to human intelligence or the mind – it was a subfield of computer science focused on algorithms like A-star or SVMs. So I redirected my attention to artificial intelligence – the idea being to understand the mind by attempting to create a model of it from the ground up. Unfortunately, it quickly appeared that neuropsychology could not answer much and only amounted to a vast collection of relatively superficial observations. Naturally, I started reading up on neuropsychology, which intuitively seemed like it should be the scientific field that could answer these questions. Īs for how I got into AI – initially, as a teenager, I had a kind of philosophical interest in how the mind worked and the nature of consciousness. The goal of my team is to build the tools that power the workflows of machine learning engineers, mainly at Google and other Alphabet companies (Waymo and YouTube are big Keras users), but also outside of Google, since Keras is an open-source project. Your background, current role and how did you get started in machine learning?įrançois Chollet (FC): I work on the Keras team at Google.
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