Sorry kids, but SEO isn’t what it used to be. It’s time to bury the old idea of “optimization” and start thinking about what we really do: train search engines. In this brave new world of generative ...

RiverWare optimization can simultaneously solve over multiple reservoirs and multiple time periods with objectives such as maximizing hydropower value and balancing reservoir operations and impacts.

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 ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...