Hi All,
I am incredibly proud of the inaugural Anote AI Academy Fellowship cohort.
This past winter, our team launched a lecture series on practical, real-world artificial intelligence, featuring eight talks from leaders working at the frontier of AI. I’m deeply grateful to our amazing speakers (including Hadas Frank, Amrutha Gujjar, Jiquan Ngiam, Shafik Quoraishee, and Spurthi Setty) for taking the time to share thoughtful insights and real-world perspectives with our fellows.
Following the lecture series, each AI fellow developed a capstone project, applying what they learned to build something meaningful and personally exciting. It was inspiring to see the creativity and ambition across the cohort as everyone translated ideas into working AI systems. Some of my favorite projects came from Amelie Norris, Yidian Chen, Aadi Bery, Caleb Dickson, and Lucy Manalang, though every fellow brought something unique and impressive to the program.
AI is advancing at an incredible pace, and when it comes to education, it’s remarkable how quickly people can now learn, build, and experiment with powerful tools. Watching these projects come to life (alongside the lectures and discussions) was genuinely inspiring. Experiences like this make me rethink what education can and should look like in the age of artificial intelligence.
As part of our commitment to open learning and community building, we’ve open-sourced all of the lectures, projects, and presentation videos from the program.
You can explore them here:
https://community.anote.ai/community/academy
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