motivation. this past spring, i taught Fundamentals of Machine Learning for computer science seniors (with some juniors as well as seniors from other majors, including data science and economics) at NYU. last time i taught this course, the course was titled Introduction to Machine Learning , it was pre-ChatGPT and it
perhaps because my post-graduate training and career afterward has almost entirely focused on optimizing a loss function defined as the average loss of individual data instances within a large amount data set by mechanistically adjusting the parameters of a large predictor, my own thought process itself also started to resemble
(i posted it on social media yesterday and am leaving here as is for the future record. i have a lot of thoughts i want to share about my time founding Prescient Design, joining Genentech/Toche and staying there for more than four years, but i will age them a bit
if you ve been following me on twitter (X), linkedin, bluesky, etc., over the past few months, you may have seen me doing some random vibe coding here and there. in particular, over the past three weeks, i ve been spending a few hours each weekend to check whether vibe-coding is real
as scientists (yes, i identify as a scientist myself, although i can see how this can be debatable,) we are often trained and encouraged to uncover mechanisms behind mysterious phenomena in the universe. depending on what kinds of these mysterious phenomena we consider, we are classified into different buckets; if
earlier this year, we officially launched the Global AI Frontier Lab at New York University (NYU), directly under the Office of the President. the Global AI Frontier Lab was created at NYU in collaboration with the Korea s Ministry of Science and ICT (specifically with its Institute for Information communication Technology
i joined NYU as an assistant professor nearly ten years ago in Fall 2015. during that fall, Glen de Vries, who was the founder and president of Medidata, endowed a professorship in health statistics at the Courant Institute of Mathematical Sciences, NYU. this was celebrated in an event in the
[UPDATE: Feb 8 2025] my amazing colleague Max Shen noticed a sign mistake in my derivation of the partial derivative of the log-harmonic function below. i taught my first full-semester course on Natural Language Processing with Distributed Representation in fall 2015 (whoa, a decade ago!) you can find the lecture
Note: i wrote this on December 9 2024 but could not dare posting it because i did not want to and could not believe what just happened then. my heart still aches so much to even think about it, but i m posting it on the last day of 2024 to
here s my final hackathon of the year (2024). there are a few concepts in deep learning that i simply love. they include (but are not limited to) autoregressive sequence modeling, mixture density networks, boltzmann machines, variational autoencoders, stochastic gradient descent with adaptive learning rate and more recently set transformers. so,