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DOE Awards 18M HPC Node Hours to 45 ASCR Projects, Including Access to Perlmutter, Polaris and Frontier - Vimarsana News

DOE Awards 18M HPC Node Hours to 45 ASCR Projects, Including Access to Perlmutter, Polaris and Frontier

June 29, 2022 – Today, the U.S. Department of Energy (DOE) announced that 18 million node-hours have been awarded to 45 scientific projects under the [...]

Best Readings in Integrated Sensing and Communication (ISAC) | IEEE Communications Society - Vimarsana News

Best Readings in Integrated Sensing and Communication (ISAC) | IEEE Communications Society

This collection of Best Readings provides a panorama of ISAC, including recent advances and applications in information theory, signal processing, mobile computing, aerospace and electronic systems, and vehicular technology/intelligent transportation systems. To this end, the reading list includes four special issues and links to four web-based resources that are all dedicated to ISAC. The overview section aims to provide a systemic view for newcomers. The Best Readings then organizes the most active topics within this field into twelve categories, including fundamental theory, physical layer ...

Source: comsoc.org
Researchers Use Machine Learning to Model Proteins Linked to Cancer - Vimarsana News

Researchers Use Machine Learning to Model Proteins Linked to Cancer

Lawrence Livermore National Laboratory (LLNL) researchers and a multi-institutional team of scientists have developed a machine learning-backed model showing the importance of lipids to the signaling dynamics of RAS, a

LLNL Scientists Use Sierra Supercomputer to Develop Cancer Model - Vimarsana News

LLNL Scientists Use Sierra Supercomputer to Develop Cancer Model

Jan. 10, 2022 — Lawrence Livermore National Laboratory researchers and a multi-institutional team of scientists have developed a highly detailed, [...]

Multiscale model reveals the importance of lipids to the signaling dynamics of RAS proteins - Vimarsana News

Multiscale model reveals the importance of lipids to the signaling dynamics of RAS proteins

Lawrence Livermore National Laboratory researchers and a multi-institutional team of scientists have developed a highly detailed, machine learning-backed multiscale model revealing the importance of lipids to the signaling dynamics of RAS, a family of proteins whose mutations are linked to numerous cancers.