As artificial intelligence dominates boardroom conversations and government agendas around the world, much of the attention remains focused on software, algorithms and breakthrough applications.

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...