Explore the best college majors for quantum computing roles, the skills employers want, and how to choose the right program.

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...

Researchers have used metamathematical techniques to show that certain theorems that look superficially distinct are in fact ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.

OpenAI is testing another new way to expose the complicated processes at work inside large language models. Researchers at ...

A boiling sea of quarks and gluons, including virtual ones—this is how we can imagine the main phase of high-energy proton ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

The COVID-19 pandemic, refugee crises, climate change—these global problems have exposed the need for public goods that are likewise global. What are public goods, and how can they be supplied ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

cuPDLPx is a GPU-accelerated linear programming solver based on a restarted Halpern PDHG method specifically tailored for GPU architectures. It incorporates a Halpern update scheme, an adaptive ...