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1) MLPerf Inference v0.5 submission preparation - Image Classification - MobileNets (all)

2) MLPerf Inference v0.5 submission preparation - Image Classification - MobileNets (highlights)

3) NNTest (collaboratively benchmarking and optimizing neural network operations)

4) Quantum Hackathon 2018-06-15 (Variational Quantum Eigensolver on Rigetti) - Solution Convergence

5) Quantum Hackathon 2018-06-15 (Variational Quantum Eigensolver on Rigetti) - Time to Solution

6) Quantum Hackathon 2018-10-06 (Variational Quantum Eigensolver on IBM) - Solution Convergence

7) Quantum Hackathon 2018-10-06 (Variational Quantum Eigensolver on IBM) - Time to Solution

8) Quantum Hackathon 2019-01-27 (Quantum Machine Learning : Paris)

9) Quantum Hackathon 2019-03-15 (Quantum Machine Learning : Oxford)

10) Quantum Open Challenge (Variational Quantum Eigensolver) - Solution Convergence

11) Quantum Open Challenge (Variational Quantum Eigensolver) - Time to Solution

12) ReQuEST @ ASPLOS'18 tournament (Pareto-efficient image classification)

13) SOTA: MLPerf inference benchmark v0.5 results snapshot (closed, Available) for collaborative validation

14) SOTA: MLPerf inference benchmark v0.5 results snapshot (closed, Preview) for collaborative validation

15) SOTA: MLPerf inference benchmark v0.5 results snapshot (closed, Research, Development, and Other) for collaborative validation

16) SOTA: MLPerf inference benchmark v0.5 results snapshot (open, Available) for collaborative validation

17) SOTA: MLPerf inference benchmark v0.5 results snapshot (open, Research, Development, and Other) for collaborative validation

18) Testing crowd-experiments (auto/crowd-tune GCC compiler flags (minimize execution time))

19) Testing crowd-experiments (auto/crowd-tune GCC compiler flags (minimize execution time, do not degrade code size))

20) Testing crowd-experiments (auto/crowd-tune LLVM compiler flags (minimize execution time))