The field of gradual typing has grown exponentially over the past decade, both in terms of research and industrial adoption. Gradual typing, the idea of adding/strengthening types in existing programs, demands work on design, theory, implementation, and usability. As such, the field deserves a special journal issue with reflective papers.
Deep networks have led to new techniques for solving PDEs, particularly in high-dimensional settings, and the interpretation of some deep neural networks as nonlinear PDEs has led to a new frontier to gain theoretical insight and design new algorithms for deep learning. This special issue brings together new results at this new interface between applied mathematics and data science.
Journal of Plasma Physics board member, Professor Tünde Fülöp, has been elected as a new member of the Royal Swedish Academy of Sciences
“I feel deeply honoured and I am looking forward to contributing to the important task of the Academy – to promote science and strengthen its role and influence in our society. It will also be interesting to exchange experiences and ideas with the other members,” says Tünde