WEST LAFAYETTE, Ind. - Refineries could trim millions of dollars in energy costs annually by using a new method developed at Purdue University to rearrange the distillation sequence needed to separate ...
If you’ve ever used a neural network to solve a complex problem, you know they can be enormous in size, containing millions of parameters. For instance, the famous BERT model has about ~110 million.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback