“We’re very pleased with the work we are doing around such a global issue like freshwater supply. As we look to leverage more advanced computational processes and deep learning methods, our existing infrastructure is no longer sufficient,” said Ranga Raju, Associate Professor in Geospatial Analytics, NCSU. “By partnering with Lenovo and its AI innovation center in Morrisville, we’ve not only gained access to infrastructure that has been optimized for machine learning workloads, but also a wealth of knowledge from Lenovo and its partners whose engineers and consultants are skilled in AI.”

UCL
Professor Nikos Konstantinidis, co-Director of the UCL Centre for Doctoral Training in Data Intensive Science and advisor of a Lenovo-supported PhD student, said, "We are delighted that Lenovo are our partners in this exciting initiative. UCL has a long-standing tradition of excellence in data intensive science and a strong culture of cross-disciplinary research and collaboration between academia and industry. Bringing together the expertise from the Lenovo AI team and the UCL academics and PhD students will accelerate the development and application of novel AI techniques that promise to provide innovative solutions to major challenges, both in fundamental science like advancing particle physics at CERN's Large Hadron Collider and in the industry."

 

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