Neurotech
NeuroAI Benchmark Commons
Give AI researchers well-defined neuroscience problems they can work on.
The bottleneck
Researchers need accessible tasks, datasets, and baselines before they can contribute effectively.
The proposed work
GPU-native benchmarks spanning neural prediction, reconstruction, perturbation, and generalization.
PL R&D’s proposed role
PL’s role is to be confirmed. The source proposes a field-level program but does not establish PL’s specific delivery responsibility.
What we would examine
First two or three benchmarks within six months, with a broader commons within twelve.