Developers Turn To Analog For Neural Nets
Developers Turn To Analog For Neural Nets Replacing digital with analog circuits and photonics can improve performance and power, but it’s not that simple. Machine-learning (ML) solutions are proliferating across a wide variety of industries, but the overwhelming majority of the commercial implementations still rely on digital logic for their solution. With the exception of in-memory computing, analog solutions mostly have been restricted to universities and attempts at neuromorphic computing. However, that’s starting to change. “Everyone’s looking at the fact that deep neural network...
Source: semiengineering.com
