By David Kale and Zachary Lipton Starting Friday, August 18th and lasting two days, Northeastern University in Boston hosted the eighth annual Machine Learning for Healthcare (MLHC) conference. This year marked MLHC’s second year as
The Applied Machine Learning Collective of the Rockies
We're building a hands-on, community-led space where AI/ML practitioners actually grow together. A modern guild where newcomers learn from journeymen, journeymen sharpen their skills alongside experts, and everyone works on real problems that matter.
A free, online course taught by Lachlan Kermode and Erika Bussmann. Our next semester runs from March 27th to June 7th.
This Week in Open Source for October 2, 2026
Explore Gemma 4 12B inference math, local RAG with LiteRT, Google's EnvHarness, Mozilla & Mila's open AI stack, and October OSS events.
Universal Scientific Protocols, Inc.
Universal Scientific Protocols, Inc. — research publishing, reconsidered. A knowledge management platform for machine learning researchers.
The Era of Experience & The Age of Design: Richard S. Sutton, Upper Bound 2025
A New Ethical Open Source License for Machine Learning from ml5.js?
I put things here so they are on the internet
Introducing beginners to the mechanics of machine learning – Miriam Posner
Every year, I spend some time introducing students to the mechanics of machine learning with neural nets. I definitely don’t go into great depth; I usually only have one class for this. But I try to unpack at least some of the major concepts, so that ML isn’t quite such a black box.
Categories for Machine Learning
This seminar series seeks to promote the learning and use of Category Theory by Machine Learning Researchers
Celebrating the 75th Anniversary of the Turing Test
When M.D. is a Machine Doctor
Helping medical doctors and patients in the Foundation Model A.I. era
ml5 - A friendly machine learning library for the web.
ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.
huggingface/ml-intern
🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models
Machine Learning | Google for Developers
Datasheets for Datasets
The machine learning community currently has no standardized process for documenting datasets, which can lead to severe consequences in high-stakes domains. To address this gap, we propose...
Maksym Andriushchenko on Twitter / X
many people seem to be upset by >50k submissions to ICLR. i think we should celebrate it! more people are doing AI (including AI safety) research - isn't it amazing?as for how to navigate the growing amount of papers, luckily, Larry Wasserman formulated a solution back in 2012! pic.twitter.com/U85FGshTqw— Maksym Andriushchenko (@maksym_andr) September 20, 2026
Ask the Fellows: SSP's 2026 Annual Meeting - The Scholarly Kitchen
Today, we offer reflections on the SSP Annual Meeting from our 2026 Fellowship cohort.
