An #ebook introduction to #neural-networks and #deep-learning.
Lecture notes for a Stanford class on #neural-networks and #deep-learning, written by Andrej #Karpathy, the author of #unreasonable-RNNs.
a #history of #deep-learning, with lots of pictures and a good explanation of the Perceptron and how it led to modern #neural-networks. With pictures and video segments and whatnot.
The US spends US$20 billion per year on #nuclear-weapons.
The US currently has 4760 #nuclear-weapons warheads. So each one costs on average about US$4.2 million per year.
The early #history of the vocoder, #speech-codecs, and analog one-time pad #cryptography.
Unguided #flechette #weaponry used by the US in WWII, the Korean War, and the Vietnam War.
Venkatesh Rao writes about retirement prospects.
“Angleton acted zealously on a theory of #history whose validity is hard to accept and hard to dispute. He believed that secret intelligence agencies controlled the destiny of mankind. During his 27-year career at the CIA, from 1947 to 1974, he acted as if the #CIA and the KGB were struggling over the future of civilization itself”
gpucc, an LLVM-based, fully open-source, CUDA-compatible compiler for high #performance computing #GPGPU #compilers (but they still rely on NVIDIA’s backend compiler to the actual undocumented GPU instruction set)
the lift-to-drag ratio is equal to the glide ratio, and its best value (up to 60 for modern gliders; Voyager’s, to circle the planet with four tons of fuel, was 27; an albatross is 20) is ½√(πεAR/C), where AR is the aspect ratio, ε the span efficiency factor, and C the zero-lift drag coefficient. #aerodynamics