Kurt Gödel, a Member of the Institute Faculty in the School
of Mathematics, is the topic of the biography Journey
to the Edge of Reason by Stephen Budiansky, published by
W. W. Norton.
In conducting research for the book, Budiansky worked
closely...
In 2020–21, Allen Yuan,
Visitor in the School of Mathematics and a recent graduate from
MIT, is studying problems in homotopy theory and algebraic
topology.
How do you describe your work to friends and family?
Natalie Paquette,
Member in the School of Natural Sciences, is a mathematical
physicist whose research interests span string theory and quantum
field theory. Most recently, she has been exploring connections
between holography and the mathematical...
Karen Uhlenbeck is Distinguished Visiting Professor in the
School of
Mathematics at the Institute for Advanced Study. A
founder of modern
geometric analysis, she is professor
emeritus at the University of Texas...
The twenty-sixth annual Women and Mathematics (WAM) Program,
“Topics in Geometric Analysis,” was held May
18–24, 2019, at the Institute for Advanced Study.
Participants explored dynamic shapes and surfaces, along with
the equations that describe...
The Institute's School of Mathematics held the workshop "Theory
of Deep Learning: Where Next?" October 15–18, 2019, as part
of the School's special year on Optimization, Statistics, and
Theoretical Machine Learning.
A variety of systems in natural sciences are described through
physically measurable quantities that depend on “independent
variables.” For instance, we routinely measure the pressure
and the temperature of the air in the Earth’s atmosphere,
and...
By the twentieth century, mathematics had advanced into rather
abstract realms, transcending its origins, which had been largely
driven by questions closer to the natural world. Physics on the
other hand, especially after the development of quantum...
In 2019–20, Chris J.
Maddison, Member in the School of Mathematics and a
Senior Research Scientist at DeepMind, is developing methods for
machine learning and exploring foundational questions about how
learning from data is possible.
