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Its evolution models are too abstract.
For example, Hummer H1 and H2 models are too wide.
The climate is global and climate models are, too.
As I already pointed out with that cartoon, in some sense, these models are too constrained.
Satellite images and climate models are too coarse to resolve local changes.
Usually this kind of simulation models are too complex and not ideal for control system design.
However, these types of models are too over-simplified to adequately reflect the multi-dimensional nature of performance.
To make matters worse, the age-old debate about whether models are too skinny was also reignited, leading some media to dub AFW the Hunger Games.
On the other hand, current physically-based models are too complex for industrial application and are less efficient than neural networks.
However, such models are too insufficiently detailed for use in optimizing the performance of a compressor in a CO2 transport pipeline.
Exact physical models are too complex to provide feasible prediction tools and other ab initio methods only use local and probabilistic information to fold a given sequence.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com