Trusted AI needs trusted data
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Two years ago, Notre Dame launched the Trusted AI project with collaborators at Indiana University, Purdue University, and the Naval Surface Warfare Center Crane Division (NSWC Crane).
In the time since the project launched, AI has undergone an important change. Not only has it developed technologically, but it has also become a matter of public interest. For example, since it launched less than a year ago, Open AI’s chatbot ChatGPT has gained over 100 million users, and six-in-ten U.S. adults say they know about the technology.
According to Charles Vardeman, a computational scientist and research assistant professor at the University of Notre Dame’s Center for Research Computing, the buzz surrounding generative artificial intelligence (AI) can sometimes draw attention away from a crucial element that determines whether we can trust AI or not: data.
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Virtual Environments: A Tool for Reproducible and Collaborative Development |
In the ever-changing landscape of software development, virtual environments have become an essential tool for ensuring reproducible and collaborative development. A virtual environment is a self-contained space where software packages, libraries, and dependencies can be installed and managed independently of the system-wide environment. This isolation prevents conflicts between different projects' requirements, ensuring that changes in one project don't affect others...continue reading.
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Applications Open for the 2024 BSSw Fellowship Program
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Applications are now open for the 2024 BSSw Fellowship Program, which gives recognition and funding to leaders and advocates of high-quality scientific software. Learn more.
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| Every Wednesday and Thursday in September
2:00 – 3:00 p.m.
via Zoom
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This training is available to new users and current users interested in a refresher course on how to use CRC resources. Attendees learn the basics of accessing CRC resources and submitting jobs on the CRC clusters. This course is a co-requisite when receiving a CRC account. Learn more.
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| Fall NSF CyberSmart Center Meeting
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November 8–9, 2023
All Day
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Top 10 Computation Users (August 2023)
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1,055,016 CPU hours
Civil & Environmental Engineering & Earth Sciences
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958,756 CPU hours
Chemical & Biomolecular Engineering
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563,331 CPU hours
Aerospace & Mechanical Engineering
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458,817 CPU hours
Chemical & Biomolecular Engineering
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414,857 CPU hours
Chemical & Biomolecular Engineering
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| 412,193 CPU hours
Aerospace & Mechanical Engineering
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394,655 CPU hours
Civil & Environmental Engineering & Earth Sciences
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285,309 CPU hours
Chemistry & Biochemistry
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282,290 CPU hours
Biological Sciences
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271,352 CPU hours
Applied & Computational Mathematics & Statistics
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