OpenAI Scholars began their studies on June 1st, blogging weekly about their progress and culminating in an open-source final project. The scholars have written about model-based RL⁠(opens in a new window), audio classification with softmax⁠(opens in a new window), deep learning in simple English⁠(opens in a new window), the k-nearest neighbors algorithm⁠(opens in a new window), and attention⁠(opens in a new window).

We selected Scholars with strong technical aptitude, interesting personal stories, and demonstrated self-starter initiative - important for a self-directed program like this one. They are all entering the field as newcomers, and we hope their progress shows how accessible machine learning is. After this first round of the Scholars program is complete, we’ll share their final projects, in addition to a case study about the program.