Scientific Machine Learning (#SciML) is an emerging field that synergistically blends machine learning and scientific computing based on mechanistic models, usually yielding increased interpretability, performance and data efficiency. (2/11) Image from: h
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Instances of modeling across different levels of the organization and problem dimension. https://t.co/htchB24Ifl #ArtificialIntelligence #HealthForAll #neuroscience #MedTwitter #healthyfood #Nutrition https://t.co/8SyMg2vt1I
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Overview of generative models: well-developed models (blue), partially-explored approaches (purple), and modern pathways with little or no literature on neural data (red). https://t.co/htchB24Ifl #ArtificialIntelligence #HealthForAll #neuroscience #MedTwi
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Venn diagram of the generative models of interest. https://t.co/htchB24Ifl #ArtificialIntelligence #HealthForAll #neuroscience #MedTwitter #healthyfood #Nutrition https://t.co/EJwDbAF1xq