Design of Experiments Python

Insights into substrate binding and utilization by hyaluronan synthase

Complementary biochemical and structural findings reveal molecular principles underlying substrate selectivity by a model hyaluronan synthase.

Scientific American

AI-designed experiments run by robots hint at a new approach to biology

Researchers at OpenAI and Ginkgo Bioworks showed that an AI model working with an autonomous lab can design and iterate real ...

Coding After Coders: The End of Computer Programming as We Know It

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird.

eLife

Pupil size reveals the perceptual quality and effortless nature of synesthesia

This study used pupillometry to provide an objective assessment of a form of synesthesia in which people see additional color when reading numbers. It provides convincing evidence that subjective ...

11d

Xanadu Hosts Analyst Day Highlighting Strategic Milestones and Path to Public Listing

As previously announced, Xanadu is advancing its business combination with Crane Harbor and a newly formed public company, Xanadu Quan ...

Scientific American

The chemist who taught AI to run the lab

Gabriel Gomes believes the future of chemistry is as much about flasks and fume hoods as it is about code. A chemical engineer at Carnegie Mellon University, Gomes works at the intersection of ...

The Washington Post

Researcher skeptical of ‘Havana syndrome’ tested secret weapon on himself

Working in strict secrecy, a government scientist in Norway built a machine capable of emitting powerful pulses of microwave energy and, in an effort to prove such devices are harmless to humans, in ...

IEEE

A Design-of-Experiments-Based Approach for Efficient Estimation of Bimodal Gaussian Mixture Weights

Abstract: Normal mixture models are widely used to represent data arising from latent subpopulations. We propose a Design-of-Experiments (DOE) and Response Surface Methodology (RSM) framework to ...

GitHub

A Python framework for constructing, deploying, and analyzing large-scale linguistic judgment experiments with active learning.

bead implements a complete pipeline for linguistic research: from lexical resource construction through experimental deployment to model training with active learning. It handles the combinatorial ...