Description: Data is one of the most valuable commodities in the world. It is the inescapable foundation of any and all AI. And yet, data management, transformation, and utilization remain incredibly hard problems, nearly intractably difficult at exascale. In this talk, we will discuss some of the reasons why this is so, why it will always be so, and the fundamental building blocks we can use to find some solace in this impossible yet unavoidable problem.

The post A Fundamental Challenge of Data (for a general audience); 2:30 – 3:30 p.m. appeared first on College of Engineering & Applied Science.

Description: When you write code that uses multiple threads, how can you tune the performance with regard to callbacks, thread pools and timers? The quest to come up with a satisfying answer to this question has taken me on a journey from the highest levels of algebraic abstraction all the way down to the transistor pathways of a modern CPU. In this talk, we’ll dive headlong into a problem space familiar to the ancestral practitioners of computer engineering, now long forgotten amongst the convenience of modern systems.

The post The Most Interesting Problem You Never Think About (A technical talk); 10:30 – 11:30 a.m. appeared first on College of Engineering & Applied Science.