ITS Symposium Archive

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All times Eastern - We will start at 11AM

11:00 - 12:30 - Physical computation in insect swarms
Orit Peleg, University of Colorado at Boulder

To receive the Zoom link, please register here

all times Eastern - We will start at 11AM

We are in the midst of a revolution driven by models for learning in neural networks.
In this symposium we will explore these models, their application to the deep networks that are the state of the art in language processing by machines,
and the relation of these ideas to the extraordinary ability of human infants to learn...

Evolution is a combination of randomness and selection, in systems with many interacting degree of freedom, and hence a challenging problem in statistical physics.
In this symposium we will look at the dynamics of evolution in the real world, including data on covid-19, in simplified laboratory experiments,

Zoom event hosted by Bill Bialek and Josh Schaevitz

Detailed Schedule for Friday December 6 Symposia

Animal navigation in uncertain environments
Agnese Seminara, Université Côte d’Azur

Quantitative windows into the minds of dolphins
Marcelo Magnasco, Rockefeller University

How birds sing: Taking precise data, making precise theories.
Samuel Sober and...

A bottom-up approach to microbial community assembly
Jeff Gore, Massachusetts Institute of Technology

The origin of chaos in large interacting ecosystems
Giulio Biroli, École Normale Supérieure

Collective behaviors in large interactive ecosystems: A phase diagram...

Sequence diversity in the adaptive immune system
Curtis Callan, Princeton University

Deep learning and proteins
Lucy Colwell, Cambridge University

Learning protein constitutive motifs from sequence data
Remi Monasson, École Normale Supérieure

Protein disorder and liquid phase separation
Shana Elbaum-Garfinkle, The Graduate Center and ASRC, CUNY