The entire chip had three layers of neurons performing matrix multiplications and two nonlinear function units in between. Overall, the network implemented on the chip could work with 132 parameters.

Physicists have long computed nonlinear response functions in the frequency domain. In this approach, one builds so-called multipoint correlation functions—calculations that combine information at ...

6. Hauser, James, “Approximation of Nonlinear Functions for Fixed-Point and ASIC Implementations Using a Genetic Algorithm,” Ph.D. diss., University of Cincinnati, 2001. Back. Notes. The method ...

Picking the right nonlinear function Although activation functions must be nonlinear, not just any nonlinear function will do. Activation functions have at least three basic requirements beyond ...

Non-linear physics is the study of systems where the output is not directly proportional to the input. Unlike linear systems, which follow simple, predictable relationships, non-linear systems exhibit ...

Non-linear Opto-Electrical Transfer Functions for High Dynamic Range Television. White Paper WHP 283. ... This paper discusses the background to the conventional non-linear gamma curves used for ...

Researchers at the University of Pennsylvania have developed a programmable photonic AI chip that can train neural networks in an energy-saving way.