Simons Foundation Co-Founder, Mathematician and Investor Jim Simons Dies at 86
Simons Foundation Co-Founder, Mathematician and Investor Jim Simons Dies at 86 on Simons Foundation
It's been one year since Jim Simons passed away. He remains one of the greatest philanthropists of our time. His commitment to fundamental scientific research was truly extraordinary and remains essential for advancing humanity.
www.simonsfoundation.org/2024/05/10/s...
10.05.2025 17:37 — 👍 29 🔁 7 💬 1 📌 0
Below this threshold, a mild overparameterization (log k factor) for k index vectors is sufficient to match the neurons to the ideal vectors due to a coupon collector argument. 🤠
03.05.2025 22:06 — 👍 0 🔁 0 💬 0 📌 0
When the ideal vectors form an equiangular frame, all learned weights converge to their average (no matter how much overparameterization is used), which has turned from a saddle to a local minimum after a certain threshold of the dot product. 😲
03.05.2025 22:06 — 👍 0 🔁 0 💬 1 📌 0
Searching for an exact inverse map from learned weights to ideal (concept) vectors is an intricate geometry question, even for "simple" idealized models. 🧐
03.05.2025 22:06 — 👍 0 🔁 0 💬 1 📌 0
SAM.gov
DARPA's "Exponentiating mathematics" (expMath) program, which is launching a challenge to develop and evaluate "AI collaborators" for assist in decomposing and formalizing informal mathematical proofs, is now taking short abstract proposal submissions: sam.gov/opp/869c8d73...
01.05.2025 17:36 — 👍 27 🔁 6 💬 5 📌 1
Professor, Computer Science, New York University. Interested in Algorithms.
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
I do SciML + open source!
🧪 ML+proteins @ http://Cradle.bio
📚 Neural ODEs: http://arxiv.org/abs/2202.02435
🤖 JAX ecosystem: http://github.com/patrick-kidger
🧑💻 Prev. Google, Oxford
📍 Zürich, Switzerland
theory of neural networks for natural and artificial intelligence
https://pehlevan.seas.harvard.edu/
Theoretical Computer Science @ EPFL
Faculty at the ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems. Leading the AI Safety and Alignment group. PhD from EPFL supported by Google & OpenPhil PhD fellowships.
More details: https://www.andriushchenko.me/
Research Scientist at Flatiron Institute CCM. Prev Meta AI, NYU, Inria, Quora.
http://alberto.bietti.me
Prof at the University of British Columbia. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
junior fellow at @Harvard.edu, incoming prof at @HSEAS and @Kempnerinstitute.bsky.social studying machine learning and its applications to nature and the sciences
Research Scientist @ Flatiron Institute, Simons Foudnation; PhD @ Princeton; Machine Learning for Scientific Computing since 2016. Opinions are my own.
As a hub for artificial intelligence, the EPFL AI Center leverages the extensive expertise of faculty and researchers across the Institution. It fosters a collaborative environment that nurtures multidisciplinary AI research, education, and innovation.
AI Pioneer, AI+Science, Professor at Caltech, Former Senior Director of AI at NVIDIA, Former Principal Scientist at AWS AI.
Prof: Rutgers; Program Manager: DARPA; Scientist-at-Large: Redpoll.
Math! Machine learning! Cognitive Science!
Chief Scientist at the UK AI Security Institute (AISI). Previously DeepMind, OpenAI, Google Brain, etc.
Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
It is said that there may be seeming disorder and yet no real disorder at all
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
