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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可伍加速国外软件的加速器

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能用国外软件的加速器

Data Science Environments that Promote Reuse

The past decade has brought a sea change in the availability of data. Instead of a world in which we have small number of carefully curated data sources — instead we have a plethora of Read more…

Modern Machine Learning Algorithms for Ranking and Choice Data

Problems involving learning from ranking and choice data arise in several domains, ranging from sports rankings to elections and from recommender systems to marketing. Indeed, algorithms for these problems have been developed in many different Read more…

Computational Models of Text Quality and Style

Text carries meaning much richer than its propositional content. What people often remember best about a text are their subjective impressions of how well-written the text was, or how the text was stylistically marked conveying Read more…

DELPHI: Deep Logical Reasoning via Neural Learning

The overarching goal of the DELPHI project is to simplify the development of correct and reliable software. Existing methodologies require significant human expertise, such as in the design of appropriate abstract domains and environment models, Read more…

StreamQRE: Programming Abstractions for Data Stream Processing Systems

The Internet of Things (IoT) promises to change the way we acquire and handle data — as Internet-connected devices (wearable or implantable medical sensors, environmental sensors, devices) “stream” data back to the cloud for processing, Read more…

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Visual simulation methods for natural phenomena involving complex solid and fluid dynamics have been widely applied in digital animation and effects. Computer graphics and computational mechanics have also proved to be a powerful combination for连接国外网络的软件下载

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…

Design and Analysis of Closed-Loop Medical Cyber-Physical Systems

Critical care involves the use of two common types of medical devices: monitoring devices, such as bedside monitors; and actuation devices, such as infusion pumps. Traditionally, caregivers need to collect information from the monitoring devices Read more…

Development of Attack-Resilient Cyber-Physical Systems

The project aims to develop control systems for ground vehicles that are resilient to a variety of external attacks. Our approach is to combine control-level techniques and code-level techniques, resulting in the approach comprises of 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…

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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…

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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…

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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…

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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…

能用国外软件的加速器

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The World Well-Being Project (WWBP) is pioneering scientific techniques for measuring psychological well-being and physical health based on the analysis of language in social media. As a collaboration between computer scientists, psychologists, and medical researchers, Read more…

Facilitating Trustworthy Data Science

When a data analysis result is published or shared, how do we know whether it is trustworthy?  Conceptually, we must show that each step of the analysis (and each set of parameters used in the Read more…

DeDOS: Declarative Dispersion-Oriented Software

The goal of this project is to create fundamentally new defenses against distributed denial-of-service (DDoS) attacks that can provide far greater resilience to these attacks compared to existing solutions. Today’s responses to DDoS attacks largely Read more…

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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…

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