For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key ...

Loads gesture data from the database Visualizes raw data (time-domain plots, 3D plots) Applies preprocessing: filtering, segmentation, flattening Splits data into training and testing sets Scales ...

There aren’t any releases here You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Recentive’s four asserted patents involved software for generating event schedules and network maps using machine learning models trained on historical data. Although the applications had ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

The course builds on my 2018 class, Art and Geometry, which I co-taught with local artists. The course explored Picasso’s cubism, which depicted reality as fractured from multiple perspectives; it ...