BayLearn 2026

Santa Clara, CA

Thursday, October 15 at 9:00am

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Note: BayLearn is In-Person only. You must be registered and confirmed to attend the event.

Bay Area Machine Learning Symposium

The Bay Area Machine Learning Symposium is an annual gathering of machine learning scientists from the San Francisco Bay Area. While it promotes community building and technical discussions between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster the exchange of ideas. BayLearn 2026 will be an in-person event—You must attend to participate!

Keynote Speakers

Ion Stoica

Ion Stoica

UC Berkeley

Keynote Talk

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Andrew Ng

Andrew Ng

DeepLearning.AI

Keynote Talk

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Azalia Mirhoseini

Azalia Mirhoseini

Ricursive Intelligence

Keynote Talk

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Niloufar Salehi

Niloufar Salehi

across.ai

Panel: AI For Scientific Discovery

Niloufar Salehi (Moderator) - Jure Leskovec - Behnam Neyshabur

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Schedule

9:00AM – 5:00 PM
The detailed schedule will be available here

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BayLearn 2026 will be an In-Person Machine Learning Symposium hosted by Santa Clara University, and co-organized with San José State University, UC Berkeley, and UC Santa Cruz.

Santa Clara, CA

#BayLearn2026

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Our Sponsors

BayLearn 2026 is sponsored by the following organizations

About BayLearn

The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. We encourage the submission of poster abstracts. Acceptable material includes work which has already been submitted or published, preliminary results and controversial findings… All accepted abstracts will be presented as posters, a few will be selected for short oral presentations or lightning talks. We do not intend to publish proceedings, only abstracts will be shared through an online repository. Our primary goal is to foster discussion!

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