Machine Learning for Testing Machine-Learning Hardware: A Virtuous Cycle

Engineering & Materials Science

1. Machine learning 100%
2. Computer hardware 79%
3. Testing 70%
4. Defects 64%
5. Probability distributions 56%
6. Particle accelerators 51%
7. Distribution functions 35%
8. Deep neural networks 33%
9. Systolic arrays 32%
10. Networks (circuits) 18%
11. Students 12%
12. RRAM 11%
13. Additive noise 9%
14. Digital circuits 9%
15. Adders 9%
16. Image classification 9%
17. Network architecture 7%
18. Classifiers 6%
19. Sampling 5%
20. Set theory 5%