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  • Rising to the Challenge
    More can change in one month than most of us had ever imagined. Across the world, we are seeing terrible tragedy, but also the heroic actions of medical workers who are doing all they can Read more…
  • Moving Online
    In response to the COVID-19 pandemic, Penn is doing its best to keep our students, faculty, and staff safe. This means adopting “social distancing” to the greatest extent possible, and trying to avoid activities that Read more…
  • Penn, IBM, and the Linux Foundation Develop Open Curricula for Teaching Data Science
    Data is being termed “the new gold,” and the most sought-after job in technology today is the data scientist / data engineer. Penn is proud to provide many options to our students interested in this Read more…
  • Welcome Kristian Lum!
    We are thrilled to announce the arrival of Kristian Lum to the CIS Department, as a Research Assistant Professor. Kristian holds a PhD in Statistical Science from Duke University, and joins us after spending a可以加速国外软件的加速器

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Developing Real-Time Virtualization

Recent years have witnessed two major trends in the development of complex real-time systems. First, they are moving from physically isolated hosts towards common computing platforms shared by multiple systems. Using common platforms can bring Read more…

Smart Alarms for Medical Device Systems

The Intensive Care Unit of most major hospitals is a noisy environment. In order to monitor patients, healthcare practitioners set threshold alarms on each of many individual vital sign monitors. While nurses themselves rarely consider Read more…

Network Provenance

Operators of distributed systems often find themselves needing to answer a diagnostic or forensic question. Some part of the system is found to be in an unexpected state; for example, a suspicious routing table entry Read more…

Theory and Practice of Differential Privacy

Large, diverse datasets hold tremendous promise, if only we can derive statistical insights from them. But often, these datasets are siloed and withheld, because of privacy concerns. Differential privacy can mitigate these concerns — it Read more…

Fairness in Machine Learning

Important decisions such as police deployment, loan approvals, hiring, and parole from incarceration are beginning to be made by machine learning algorithms. This has lent urgency to the question of whether these algorithms are fair. Read more…

Foundations of Adaptive Data Analysis

Classical tools for rigorously analyzing data make the assumption that the analysis is static: the models to be fit, and the hypotheses to be tested are fixed independently of the data, and preliminary analysis of Read more…

Improving GPU Performance and Programmability

In recent years, graphics processing units (GPUs) have thoroughly permeated consumer processor designs. It is now essentially impossible to find a smartphone, tablet or laptop without a substantial integrated GPU on the processor die. Utilizing Read more…

The Science of Deep Specification

In our interconnected world, software bugs and security vulnerabilities pose enormous costs and risks. The Deep Specification project addresses this problem by showing how to build software that does what it is supposed to do, Read more…