Challenges, Economics, and Principles of Cloud Native Systems

In this talk, Venkat will focus on fundamental concepts baked in all traditional systems software that aren't very well suited to exploit the economics of the cloud. Almost all systems software that run in the cloud today were originally built for on-premises data center installations and have simply been ported to work on cloud VMs. This talk will explore properties that truly cloud-native software should have, some of the advances that is ongoing and open challenges that still remain.

Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning for Healthcare

Abstract: In machine learning often a tradeoff must be made between accuracy and intelligibility: the most accurate models usually are not very intelligible (e.g., deep nets, boosted trees, and random forests), and the most intelligible models usually are less accurate (e.g., linear or logistic regression). This tradeoff often limits the accuracy of models that can be safely deployed in mission-critical applications such as healthcare where being able to understand, validate, edit, and ultimately trust a learned model is important.

DeMets Lecture Series

This talk will be a research/overview talk accessible to a general biomedical/public health audience. Ideally, it will highlight, in one or more ways, critical and impactful contributions from quantitative methodological areas (e.g., biostatistics and/or biomedical informatics) to discoveries in biomedicine, and/or advancement of human/public health.

[pl-seminar] FairSquare: Probabilistic Verification of Program Fairness

With the range and sensitivity of algorithmic decisions expanding at a break-neck speed, it is imperative that we aggressively investigate fairness and bias in decision-making programs. First, we show that a number of recently proposed formal definitions of fairness can be encoded as probabilistic program properties. Second, with the goal of enabling rigorous reasoning about fairness, we design a novel technique for verifying probabilistic properties that admits a wide class of decision-making programs.

Faith, Work, and Calling: The Scroll from En-Gedi

Brent earned his doctorate at UW-Madison, and spent several years engaged in student fellowship here through InterVarsity. His interest in the scriptures and study of imaging algorithms led him to develop methods to “read” ancient texts that are too damaged and delicate to be unrolled and viewed. In his talk, Brent will speak about his personal faith journey, academic pursuits and life service. Brent is also giving a community lecture at Upper House this same evening.

Steve Seitz Talk on Virtual Reality Video

There is a big difference between looking at a photo and actually being there, experiencing the moment in person. While we take this difference for granted today, this gap will close dramatically over the next few years. Professor Seitz will describe technology for immersive photography where viewers feel like they ARE there-by leveraging camera arrays, computer vision algorithms, novel streaming technologies, and virtual reality headsets.


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