SHF: Conference: Hardware and Algorithms for Learning On-a-chip November 5 2015 Austin TX

Engineering & Materials Science

1. Computer hardware 100%
2. Learning algorithms 85%
3. Machine learning 75%
4. Arts computing 62%
5. Computational neuroscience 53%
6. Nanoelectronics 47%
7. Application specific integrated circuits 36%
8. Face recognition 32%
9. Field programmable gate arrays (FPGA) 27%
10. Computational complexity 27%
11. Energy efficiency 26%
12. Throughput 23%
13. Data storage equipment 20%