Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

The training process shapes a function that can map as much of the input onto its corresponding (known) output as possible. After that, the trained model labels unfamiliar examples. Unsupervised ...

A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...

With the addition of machine learning capabilities, MMM isn’t just making an ordinary comeback—it’s at the forefront of a marketing revolution. Moving Into The Future With MMM ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Two AI models The team used two AI models—an isolation model to detect anomalies during the batch phase of the process and a random forest model to predict required operator control actions ...

Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...

But there was still a problem. These machine learning models were still fundamentally classical, meaning that it’s impossible for them to process truly quantum data and output quantum states. To get ...