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Balancing computational chemistry's potential with its environmental impact Computational chemistry techniques offer tremendous potential for accelerating the discovery of sustainable chemical processes and reactions. However, the environmental impacts of the substantial computing power required for these digital methods are often overlooked.
1 Introduction Diffusion-weighted magnetic resonance imaging (DW-MRI) is usually sensitized to the displacement of water, and provides a myriad of tissue microstructure metrics that aid in the study of many neuropathologies, including traumatic brain injury (Hutchinson et al., 2018), neurodegeneration (Goveas et al., 2015), and measuring treatment response in cancer therapy (Patterson et al., 2008), to name a few.
Authors Dietmar Jannach Universit of Klagenfurt Pearl Pu EPFL Lausanne Francesco Ricci Free University of Bolzano Markus Zanker Free University of Bolzano Abstract The origins of modern recommender systems date back to the early 1990s when they were mainly applied experimentally to personal email and information filtering. Today, 30 years later, personalized recommendations are ubiquitous and research in this highly successful application area of AI is flourishing more than ever.
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