High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Stevens Master of Data Science graduate Vandna Rajpal and her team, Neural Navigators, received first place at the D3CODE 2025 Global Hackathon. Her team designed Predicting and Reporting Insights ...

Flexible learning schedule, tuition reimbursement helps Penske employee expand IT skills After six years as a systems analyst ...

Garg described data as a potential “fifth factor of production”, alongside traditional inputs such as labour, capital, land and entrepreneurship ...

SpaceX is seeking to hold an IPO later this year, in a deal that could raise as much as $50 billion to fund AI data centers in space and a factory on the moon.

Understand how this artificial intelligence is revolutionizing the concept of what an autonomous agent can do (and what risks ...

Scientists have traditionally studied how the brain controls movement by asking patients to perform structured tasks while connected to multiple sensors in a lab. While these studies have provided ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...