flohrian

I found this piece somewhat refreshing.

It presents a thought I have not thought about before. Whether, as some other commenters suggest, the hypothesis that you are dating an ecosystem, has always been true is a different question.

from the paper:

"[...] learnable network parameter that is iteratively adjusted during the training process of the diffractive network, using an error back-propagation method. After this numerical training phase implemented in a computer, the D^2NN design is fixed and the transmission/reflection coefficients of the neurons of all the layers are determined. This D^2NN design, once physically fabricated using e.g., 3D-printing, 3lithography, etc., can then perform, at the speed of light propagation, the specific task that it is trained for, using only optical diffraction and passive optical components/layers, creating an efficient and fast way of implementing machine learning tasks."

I recently read a math paper: abelian groups, hilbert spaces, lebesgue measures. It felt like we're back in the 1900s.

we don't have the technology to 'beam all that power to earth' - whatever that might even mean. Furthermore, 384.000km is quite the distance.

statistics ⊂ math