Even though he knows there is still a long way to go, Dorigo says that machine-learning-aided detector design is the future. “We’re designing experiments today that will operate 10 years from now,” he ...

Lawrence Livermore National Laboratory’s machine-learning models predicted the historic achievement of fusion ignition the week before its successful experiment on Dec. 5. The National Ignition ...

Most approaches to machine learning-based inverse design require large amounts of simulation or experimental data, which are costly and time-consuming, especially for microscale and nonlinear systems.

Alchemite ™ advanced machine learning was used by Domino Printing Sciences to ... options that mitigated the impact on the target property in Round 2. A design of experiments campaign, driven by ...

The promise of computational material design is based on atomistic models with ... for example, via active machine learning and atomistic experiments that can provide measurements of quantities of ...

(Wikimedia Photo / Public Domain) The point of the experiment was to see how machine-learning models performed on the Ethereum blockchain, since the model had to be run in its entirety — and ...

Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

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 ...