CogSim may run thousands of machine-learning simulations of an experimental design in the lead up. “We have made quite a bit of advancements in our machine-learning models to kind of tie together our ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

A machine learning framework that uses scarce and sparse experimental data to both predict and inversely design the mechanical behavior of spinodal metamaterials. Why It Matters The method enables ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Alchemite ™ advanced machine learning was used by Domino Printing Sciences to leverage historical data and obtain several novel ink formulations, a number of which were later validated via physical ...

Google has unveiled TensorBoard.dev, an online platform where data scientists, researchers, machine learning practitioners, and software developers can share machine learning experiments and ...

So when I performed the first part of our no-code/low-code machine learning experiment and got better than a 90 percent accuracy rate on a model, I suspected I had done something wrong.

It was an educational experiment. If you are teaching data science/machine learning courses and decide to recreate it in your courses, or if you have tried your own experiments in introducing ...