AI@MIT
Artificial Intelligence Club at MIT

Intiatives

AIM is a community of undergraduates aimed at promoting and fostering the growing interest around machine intelligence on campus. We hold weekly discussions on the latest papers in the field, organize workshops, host speakers, and arrange competitions around machine intelligence at MIT.

Reading Group

Our weekly discussions on recent machine learning papers, called “reading groups”, are at the core of our community. We strongly believe that undergrads have the potential to do meaningful contributions in the field of ML. Because of that we organize reading groups for undergrads, lead by undergrads. We are confident that this is one of the best ways for undergrads to have a taste of the current literature, while joining a vibrant community.

Workshops

We host machine learning workshops every two weeks on Mondays from 7-9pm ET. Our workshops are designed to be both beginner-friendly and complementary to 6.036, MIT's introductory ML class; we focus on practical knowledge, ranging from basic model architectures and PyTorch best practices to model serving and distributed training. Each workshop is comprised of a brief theory lecture and an interactive coding-based lab. Materials can be found at github.com/AI-Club-at-MIT/Workshops .

Generator

Generator is MIT’s premiere research competition intended to recognize promising students who are improving artifical intelligence (AI) and/or harnessing it to solve societal challenges. We provide mentorship from both industry professionals and academic researchers, cloud compute resources, and access to our events and speaker series. Generator empowers students across the Boston area to pursue technical and creative excellence in meaningful long-term projects. For more information check out http://generator.mit.edu

Labs

Machine learning (ML) algorithms are advancing quickly. They’re powering applications in every industry, and will only become more ubiquitous over the next few years. However, at MIT, ML work is primarily theoretical and research-based. AIM Labs' aim is to bring a more practical focus to MIT. We are building a community of talented, passionate hackers, working together to use cutting-edge ML in public-facing projects. Every semester, we host a demo day and invite the community to see what we’ve been building! 🥳

Team

Evan "Vogel" Vogelbaum

Evan "Vogel" Vogelbaum

Co-President

Nithya Attaluri

Nithya Attaluri

Co-President

Saketh "McLovin" Gabbita

Saketh "McLovin" Gabbita

Workshops Co-Lead

Kevin Meng

Kevin Meng

Workshops Co-Lead

Kathleen Esfahany

Kathleen Esfahany

Labs Co-Lead

Erick Gbordzoe

Erick Gbordzoe

Labs Co-Lead

Zach Ankner

Zach Ankner

Reading Group Co-Lead

Shayda "Shaydawg" Moezzi

Shayda "Shaydawg" Moezzi

Reading Group Co-Lead

Adriano Hernandez

Adriano Hernandez

Webmaster

Helen Lu

Helen Lu

Finance Director

Jimin Lee

Jimin Lee

Marketing Director

Anjali Sinha

Anjali Sinha

Generator Lead

Raj "Rajivo" Movva

Raj "Rajivo" Movva

Social Chair

Current Sponsors

Past Sponsors

Interested in sponsoring AIM? Email us for more details!