Nature

AutoML based workflow for design of experiments (DOE) selection and benchmarking data acquisition strategies with simulation models

Design of experiments (DOE) is an established method to allocate resources for efficient parameter space exploration. Model based active learning (AL) data sampling strategies have shown potential for ...
National Academies of Sciences%2c Engineering%2c and Medicine

Effective Experiment Design and Data Analysis in Transportation Research

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...
Nature

How thoughtful experimental design can empower biologists in the omics era

“To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.” – Ronald A. Fisher The ...
Forbes

How To Experiment With More Real Data To Boost Performance

(Original Caption) Lana, a 21/2 year old chimpanzee, uses a typewriter like device to punch out sentences using symbols for words in an experiment April 27th at the Yerkes Regional Primate Center at ...
The Conversation

AI can design and run thousands of lab experiments without human hands. Humanity isn’t ready for the new risks this brings to biology

Artificial intelligence is rapidly learning to autonomously design and run biological experiments, but the systems intended to govern those capabilities are struggling to keep pace. AI company OpenAI ...