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Researchers work to increase speed, reliability of wireless communications

 E-Mail The development of millimeter wave communication technologies could improve the speed, latency and reliability of wireless communications significantly, according to Penn State researchers. Jing Yang, assistant professor of electrical engineering, received a four-year, $800,000 National Science Foundation grant to develop machine learning and large-scale optimization-based schemes to advance the technology. Millimeter wave spectrum offers 200 times more bandwidth than microwave frequencies, offering substantial promise toward the future of wireless networks, Yang said, noting that the technology has not been widely adopted due to issues involving how the data propagates along its communication path. The millimeter wave spectrum operates on a higher frequency than microwave communication and provides a larger bandwidth as well, which allows it to process more data. When operating on this frequency band, some disruptive applications can be accommodated, such as collabo

$500,000 grant funds creation of institute to advance AI for materials science

Date Time $500,000 grant funds creation of institute to advance AI for materials science An NSF grant will help create the AI-Enabled Materials Discovery, Design, and Synthesis (AIMS) institute, an interdisciplinary effort to leverage AI for materials discovery, design and synthesis. Image: Pixabay A National Science Foundation (NSF) grant will help lay the foundation for an interdisciplinary institute that encourages the use of artificial intelligence-enabled materials discovery, design and synthesis, according to a team of researchers. Funds from the $500,000 grant will be used to bring together an interdisciplinary team of researchers with complementary expertise in artificial intelligence (AI) and material science to lay the groundwork for an AI-Enabled Materials Discovery, Design, and Synthesis (AIMS) Institute, according to Vasant Honavar, professor, Edward Frymoyer Chair of Information Sciences and Technology at Penn State and an Institute for Computational and Data Scien

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