As a person who has professionally done my own research on a number of things, let me say: I do not want to have to do my own research on most things. I am happy for experts to do research in their fields and publish their finds, and for service providers to read and summarize it for me.
30.04.2025 19:21 — 👍 70 🔁 15 💬 2 📌 0
Hello world.
16.11.2024 18:19 — 👍 4 🔁 0 💬 1 📌 0
Associate professor in Washington DC. Neuroscientist/mouse psychiatrist
MATRIX is a residential research institute for the mathematical sciences, located in a unique Australian setting on Dja Dja Wurrung Country. Learn more at https://www.matrix-inst.org.au or linkedin.com/in/matrix-australia/
Research scientist at Google DeepMind.
Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
ai@cam is Cambridge University's flagship mission to develop AI for the benefit of science, citizens, and society.
🔗 www.ai.cam.ac.uk
Science & #tech politics and #policy incl patents. Author: next book on politics of inclusive innovation/tech for equity. #STS scholar. Prof & Director, Science, Technology, and Public Policy Pgm, U of Michigan. The Received Wisdom podcast. shobitap.org
Em. Prof., UC Davis. Many awards, incl. book, teaching, public service. Many books, latest The Art of Machine Learning (uses qeML pkg). Former Editor in Chief, the R Journal. Views mine. heather.cs.ucdavis.edu/matloff.html
Economic sociologist, assistant professor at MIT Sloan, I study regulatory failure, market failures, and platform design - from an organizational perspective.
Penn Prof (Chair of Legal Studies & Business Ethics @ Wharton). Pescatarian. Panentheist Jew. Parent. Philadelphian. Poconos Airbnb host. Perhaps Retired Restoration Shaman. Primarily focused on Accountable AI & crypto regulation. https://accountableai.net
CS Student at ETH Zürich, incoming PhD at EPFL.
Mainly interested in Language Model Interpretability and Model Diffing.
Most recent work: https://arxiv.org/abs/2504.02922
MATS 7.0 Winter 2025 Scholar w/ Neel Nanda
jkminder.ch
Machine Learner by day, 🦮 Statistician at ❤️
In search of statistical intuition for modern ML & simple explanations for complex things👀
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
A leading open access publisher of digital health research and champion of open science. With a focus on author advocacy and research amplification, JMIR Publications partners with researchers to advance their careers and maximize the impact of their work.
First Workshop on Technical AI Governance. ICML 2025, Vancouver.
Assistant Professor @UWaterloo Statistics and @VectorInst | Prev: Postdoc @Princeton PhD @UofTStatSci
https://mufan-li.github.io/
machine learning and artificial intelligence | University of Chicago / Google
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Speech • Language • Learning
https://grzegorz.chrupala.me
@ Tilburg University
