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...
Chromosomes, condensates, and transcriptional control
All cells must control the reading out (“transcription”) of information encoded in their DNA.
In this symposium we will look at new observations on the condensation of protein droplets surrounding sites of active transcription,
at new theoretical approaches to the dynamics of chromosomes, and at theories that connect these...
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,