Several U-M faculty affiliated with MIDAS will participate in the KDD2018 Conference in London in August. The meeting is held by the Associate for Computing Machinery’s Special Interest Group in…
The U-M Statistics in the Community (STATCOM) group was recently featured in AMSTATNEWS, the magazine of the American Statistical Association. Read the article at https://magazine.amstat.org/blog/2018/04/01/statcom-universities/. STATCOM is supported in part by…
The Michigan Institute for Computational Discovery and Engineering has awarded its second round of Catalyst Grants, providing between $80,000 and $90,000 each to seven innovative projects in computational science. The…
The image competition for the Coalition for Academic Scientific Computation (CASC) 2019 annual brochure is now open. Winning images will be featured in the brochure, which is distributed to industry,…
Advanced Research Computing – Technology Services (ARC-TS) at the University of Michigan has become the first U.S. academic institution to join the Cloud Native Computing Foundation (CNCF), a foundation that…
Several University of Michigan researchers, including faculty affiliated with MIDAS, recently received support from the Chan Zuckerberg Initiative under its Human Cell Atlas project. The project seeks to create a…
Advanced Research Computing – Technology Services (ARC-TS) is pleased to announce that the Yottabyte Research Cloud (YBRC) computing platform is now certified to accept data designated as Controlled Unclassified Information…
From digital analysis of Bach sonatas to mining data from crowdsourced compositions, researchers at the University of Michigan are using modern big data techniques to transform how we understand, create…
Advanced Research Computing – Technology Services (ARC-TS) is starting the process of creating a new, campus-wide computing cluster, “Great Lakes,” that will serve the broad needs of researchers across the…
The course, instructed by Prof. Raj Rao Nadakuditi (EECS), is an in-depth introduction to computational methods for identifying, fitting, extracting and making sense of patterns in large data sets. Read more…