The events selected for funding include a training program for African autism researchers, a computational neuroscience forum ...
The eighth annual Simons Society of Fellows Alumni Symposium will bring together researchers across astronomy, mathematics, physics, biology, and neuroscience to examine how complex physical, ...
Adrian Bayer started as a research fellow at the Flatiron Institute's Center for Computational Astrophysics in 2025 and serves as the co-leader of the Simons Observatory’s Sky Modeling working group.
A collaboration between experimentalists and theorists has developed a new way to study how electrons interact with defects in advanced semiconductors used in ultrathin electronic devices.
This powerful, dynamic software system is changing how scientists sift through the recent deluge of human genomic data — and deepening our knowledge of human biology, health and disease. What once ...
Watch: Concrete Cosmos, a Short Film on the Shared Frequencies of the Universe and the Human Experience on Simons Foundation ...
Textbooks and structural models traditionally depict proteins as static, rigid entities. While these snapshots from experimental techniques such as X-ray crystallography and cryo-electron microscopy ...
There are trillions of microbes living in your body. Far from parasitic squatters, most of these microorganisms form a diverse and essential community that aids digestion, strengthens the immune ...
The Simons Foundation’s Life Sciences division advances basic research on fundamental questions in biology. The division focuses on origins of life, microbial oceanography, microbial ecology and ...
This meeting brought together members of the NSF-Simons Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning (MoDL) and researchers working on related topics. The ...
This is an event taking place on scheduled Mondays 9:30am to 11:00am (US Eastern Time Zone). It is intended as a forum bringing together the community of researchers interested in Dynamical Mean Field ...
Learned representations lie at the core of AI systems, connecting the statistics of data to nontrivial computation. What ingredients shape these representations, and what can we learn by studying ...
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