Maximilian Herde
ETH Zürich · on a workshop, Oct 2026
1 workshop · Applied Mathematics, Artificial Intelligence, Machine Learning
Next: AI in Scientific Computing – Training School · Oct 5, 2026
People in Machine Learning
Yixuan He
School of Mathematical and Natural Sciences and School of Computing and Augmented Intelligence, Arizona State University · on a talk, Oct 2026
1 talk · Artificial Intelligence, Data Science, Deep Learning
Latest: Graph Neural Networks and Foundation Models for Complex Networks · Oct 2, 2026
Antonio Ocello
ENSAE Paris · on a talk, Oct 2026
1 talk · Machine Learning, Mathematics, Probability Theory
Latest: Do Heavy Tails Help Diffusion? On the Subtle Trade-off Between Initialization and Training · Oct 2, 2026
Srinivasan Keshav
University of Cambridge · on a talk, Oct 2026
1 talk · Computer Vision, Ecology, Geoinformatics
Latest: TEE: The Tessera Embeddings Explorer · Oct 2, 2026
Alok Puranik
Jane Street · on a talk, Oct 2026
1 talk · Data Science, Deep Learning, Machine Learning
Latest: [Scale ML] Alok Puranik: Sequence Weighting at Scale · Oct 1, 2026
8 podcast episodes · Artificial Intelligence, Machine Learning, Computer Science
Latest: Open models and the future of Physical AI with NVIDIA · Oct 1, 2026
7 podcast episodes · Artificial Intelligence, Machine Learning, Software
Latest: Open models and the future of Physical AI with NVIDIA · Oct 1, 2026
1 podcast episode · Artificial Intelligence, Machine Learning, Robotics
Latest: Open models and the future of Physical AI with NVIDIA · Oct 1, 2026
Ivo D. Dinov
University of Michigan — SOCR, DCMB and MCAIM · on a talk, Sep 2026
1 talk · Applied Mathematics, Artificial Intelligence, Computational Statistics
Latest: The Realities of Augmented Intelligence · Sep 30, 2026
Navid Azizan
Massachusetts Institute of Technology — Mechanical Engineering and Institute for Data, Systems & Society · on a talk, Sep 2026
1 talk · Control Theory, Deep Learning, Dynamical Systems
Latest: Machine Learning with Hard Constraints · Sep 30, 2026
Lenka Zdeborová
École Polytechnique Fédérale de Lausanne (EPFL) · on a talk, Sep 2026 · 2 other affiliations
3 talks · Deep Learning, Machine Learning, Mathematical Modeling
Latest: The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks · Sep 30, 2026
Peter Koo
Cold Spring Harbor Laboratory · on a talk, Sep 2026
1 talk · Computational Biology, Deep Learning, Genomics
Latest: Learning the Regulatory Code with AI · Sep 29, 2026
10 podcast episodes · Machine Learning, Artificial Intelligence, Deep Learning
Latest: From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing? · Sep 29, 2026
1 podcast episode · Artificial Intelligence, Machine Learning, Mathematics
Latest: From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing? · Sep 29, 2026
Irene Rombel
Biotechnology Innovation Organization · on a talk, Sep 2026
1 talk · Artificial Intelligence, Bioprocess Engineering, Biotechnology
Latest: Harnessing AI/ML for intelligent decision making in cell and gene therapy manufacturing · Sep 28, 2026
Lesbeth Rodriguez
Biotechnology Innovation Organization · on a talk, Sep 2026
1 talk · Artificial Intelligence, Bioprocess Engineering, Biotechnology
Latest: Harnessing AI/ML for intelligent decision making in cell and gene therapy manufacturing · Sep 28, 2026
Snehal Naik
Biotechnology Innovation Organization · on a talk, Sep 2026
1 talk · Artificial Intelligence, Bioprocess Engineering, Biotechnology
Latest: Harnessing AI/ML for intelligent decision making in cell and gene therapy manufacturing · Sep 28, 2026
24 podcast episodes · Machine Learning, Artificial Intelligence, Deep Learning
Latest: Chris Manning: Language Is the Real Unlock for Intelligence · Sep 27, 2026
24 podcast episodes · Machine Learning, Artificial Intelligence, Deep Learning
Latest: Chris Manning: Language Is the Real Unlock for Intelligence · Sep 27, 2026
1 podcast episode · Artificial Intelligence, Computational Linguistics, Linguistics
Latest: Chris Manning: Language Is the Real Unlock for Intelligence · Sep 27, 2026