In this lecture, Thomas Schulthess will show how recent developments in architecture have moved us away from traditional abstractions, forcing software development and mathematical algorithms to acknowledge the physical reality of computing systems.
A canonical task in machine learning is to fit a model to a dataset. Sanjeev Arora will describe models fitted to real-life datasets, which display randomlike properties that can offer insights into the algorithms used for the task.
In this lecture, Eric Betzig will describe advanced optical tools being developed to help scientists delve deeper into the complexity of biological systems.
Image credit: NASA's Goddard Space Flight Center / S. Wiessinger Thursday, June 23 — Friday, June 24, 2016 Simons Foundation Gerald D. Fischbach Auditorium 160 Fifth Avenue New York, New York Saturday, June 25, 2016 Columbia University Pupin Hall 538 W. 120th Street New York, New York On June 23 and 24, 2016, about 60...
Dr. Ruth O’Hara will present on the field’s current understanding of sleep in autism spectrum disorder.
Next-generation sequencing has the power to decode DNA in a matter of hours, but doctors still diagnose infections using methods developed decades ago. This lecture will describe how scientists are using the latest sequencing technology in combination with new, very fast algorithms to sequence a complex mixture of DNA from a sick patient and, in some cases, identify the causative agent of an infection.
