Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...
Decision letter after peer review: Thank you for submitting your article "Adjoint propagation of error signal through modular recurrent neural networks for ...
Abstract: Quantifying Young’s modulus and Poisson’s ratio of underfill (UF) is critical in clarifying material failure mechanisms for better optimizing their performance in reducing thermal stresses ...
Error (or uncertainty) propagation is the practice of analyzing and accounting for the effect of numeric quantities’ uncertainties on the results of functions that ...
A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Every survey finding published by Pew Research ...
Bulker freight futures took a step back on Wednesday after a surge that lifted one measure of their strength to its highest point of the year amid a surprisingly strong August. The Breakwave Dry Bulk ...
Neural networks are increasingly integrated into scientific discovery, where input data reduction and model quantization play a key role in accelerating inference ...
Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity hacks, as well as household and digital decluttering, and oversees the freelancers on the sex and ...
Abstract: Traveling wave ranging is currently the most commonly used method for detecting fault points in DC transmission systems. However, the traveling wave method may have disadvantages, such as ...
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