Vladimir Braverman received a Best Paper Award at FAST ’19

/ February 28, 2019

Load balancing is critical for distributed storage to meet strict service-level objectives (SLOs). It has been shown that a fast cache can guarantee load balancing for a clustered storage system. However, when the system scales out to multiple clusters, the fast cache itself would become the bottleneck. Traditional mechanisms like cache

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Carey Priebe’s paper “On a `Two Truths’ Phenomenon in Spectral Graph Clustering” has been accepted for publication at PNAS

/ February 11, 2019

Clustering is concerned with coherently grouping observations without any explicit concept of true groupings. Spectral graph clustering – clustering the vertices of a graph based on their spectral embedding – is commonly approached via K-means (or, more generally, Gaussian mixture model) clustering composed with either Laplacian or Adjacency spectral embedding (LSE

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QnAs with Donald Geman

/ May 8, 2018

With the proliferation of “omics” technologies, personalized medicine—which tailors treatment to an individual’s genomic profile—promised a revolution in care. That revolution, says applied mathematician Donald Geman, has been slow to arrive. Geman has spent nearly four decades devising statistical methods for a variety of applications. He recently teamed up with an

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Can we teach computers to be digital detectives?

/ May 1, 2018

Imagine standing on the sidewalk of a busy city street, taking in your surroundings. “When you or I look at that scene, we have a task in mind—whether to find a place to eat or shop, the metro station, or a particular person,” says René Vidal, a Johns Hopkins professor of biomedical

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Upstarts: A Better Blood Test?

/ February 2, 2018

Lensless microchip sensors can resolve images down to the level of a molecule or less. The trick to making them useful for hematological applications is to readily detect and report on what’s contained in a few drops of blood. René Vidal, a professor in the Johns Hopkins Department of Biomedical Engineering

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Johns Hopkins-led team aims to turn computer systems into digital detectives

/ October 31, 2017

Imagine an embassy bombing. Consider the massive amount and varied types of data that investigators need to review to determine who carried out the attack and how it was accomplished. Such a probe could involve the slow, painstaking examinations of video footage, photos, internet communications, telephone records, and other material. An

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