Machine Learning With Analog Computers

Adnan Mehonic and I contributed a chapter to a new upcoming edition of a textbook on nonvolatile memories. Our part discusses scalability problems in machine learning and how they may be addressed with emerging memory technologies.

I am quite happy with how the chapter turned out. We focused on the fundamentals, which, at least for me, is always the most fun to think and write about. If you’d like to read the chapter for free, there is some great news—we’ve uploaded it to arXiv! Click on the link below:

Emerging Nonvolatile Memories for Machine Learning