LLNL and Amazon Web Services are partnering to leverage the power of AI to enhance operations at the National Ignition Facility.
Topic: Data Management
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LLNL researchers have created new, optimized indices of the nt database that simplify how scientists classify microorganisms found in various samples, significantly improving the ability to identify and understand the myriad microorganisms that inhabit our world.
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Drawing more than 300 attendees, this year’s “D3” workshop focused on tackling pressing data challenges in nuclear security, energy and collaborative scientific discovery, and featured a host of talks, presentations and panels.
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Data researchers, developers, data managers, and program managers from national laboratories visited LLNL to discuss the latest in data management, sharing, and accessibility at the 2023 DOE Data Days (D3) workshop.
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The prestigious fellow designation is a lifetime honorific title and honors SIAM members who have made outstanding contributions to fields served by the organization.
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The Earth System Grid Federation is a web-based tool set that powers most global Earth system research.
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From molecular screening, a software platform, and an online data to the computing systems that power these projects.
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LivIT tackles challenges of workforce safety, telecommuting, cyber security protocols, National Ignition Facility software updates, and more.
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Business Applications and Support | Cloud Services | Collaboration and Productivity Tools | Cyber Incident Response | Cyber Security | Data Management | Data Science | Data-Driven Decisions | Databases/IT Infrastructure | Information Technology | Integration Services | Lasers and Optics | Network Engineering | Reporting and Analytics | Software Engineering | Web Technologies
StarSapphire is a collection of scientific data mining projects focusing on the analysis of data from scientific simulations, observations, and experiments.
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AIMS (Analytics and Informatics Management Systems) develops integrated cyberinfrastructure for Earth system data discovery, analytics, simulations, and knowledge innovation.
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Newly developed mathematical techniques reveal important tools for data mining analysis.
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Drawing from data mining, image and video processing, statistics, and pattern recognition, these computational tools improve the way scientists extract useful information from data.
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LLNL and University of Utah researchers have developed an advanced, intuitive method for analyzing and visualizing complex data sets.
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