Abstract: Inference capabilities of machine learning (ML) systems skyrocketed in recent years, now playing a pivotal role in various aspect of society. The goal in statistical learning is to use data ...

Abstract: The most common method for interpreting strata with seismic data is to relate the peaks and troughs of adjacent traces based on the seismic waveform characteristics. This can be captured by ...

Four wildly different machines reveal where American performance is now and where it’s headed next.

For the last two years, the enterprise AI conversation has largely revolved around experimentation. Could a model answer customer questions? Could it summarize documents? Could it automate workflows?

Pavan Subramani started doing molecular dynamics simulations for computational drug discovery alongside his high school coursework, sparking an interest in a STEM career.