Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.
# dY_t = -f(t, Y_t, Z_t) dt + Z_t dW_t , Y_T = g(X_T) # using a neural network to approximate the terminal value Y_0 and the driver Z_t.
TypeError: '<=' not supported between instances of 'int' and 'list' ...
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