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This article explores new workflows using data-driven modeling to improve culture medium and new control algorithms allowing for better modulation within the bioprocess design space.
Researchers have developed a groundbreaking data-driven model to predict the dehydrogenation barriers of magnesium hydride, a promising material for solid-state hydrogen storage. This advancement ...
While not a silver bullet solution to attribution, a data-driven model provides better insights for advertisers. Learn more here.
These models can also be combined to allow for hybrid modeling in which data-driven models can substitute unknown equations to fill the gap in understanding. To produce a data-driven model requires ...
Key Challenges of Data-Driven Business Model Transformation Today, getting hold of data is rarely the problem.
Digitalization is transforming everything, and as a part of this, the technology-driven economic model (TDEM) continues to evolve. You may have heard of this model as a technology-based economy model.
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