AI Chip Benchmarks


  1. DAWNBench:An End-to-End Deep Learning Benchmark and Competition Image Classification (ImageNet)
  2. Fathom:Reference workloads for modern deep learning methods
  3. MLPerf:A broad ML benchmark suite for measuring performance of ML software frameworks, ML hardware accelerators, and ML cloud platforms. You can find MLPerf v0.5 results here.MLPerf Inference Benchmarks is here.
  4. AI Matrix
  5. AI-Benchmark
  6. AIIABenchmark
  7. EEMBC MLMark Benchmark

https://github.com/basicmi/AI-Chip#Xmos

Regulation of Artificial Intelligence

This report examines the emerging regulatory and policy landscape surrounding artificial intelligence (AI) in jurisdictions around the world and in the European Union. In addition, a survey of international organizations describes the approach that United Nations agencies and regional organizations have taken towards AI. As the regulation of AI is still in its infancy, guidelines, ethics codes, and actions by and statements from governments and their agencies on AI are also addressed.

https://www.loc.gov/law/help/artificial-intelligence/index.php