Two papers challenged the existence of theorized particles called sterile neutrinos that might account for mysteries like the cosmos’s dark matter.

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Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

No one can question the impact of science on human civilization, and the importance of experimentation in science is equally undeniable. Some experiments confirm what we already know, others suggest a ...

Editor’s note: This is part of a series called “The Day Tomorrow Began,” which explores the history of breakthroughs at UChicago. Learn more here. A field experiment is a research method that uses ...

Experimental particle physicists working at the MicroBooNE experiment at Fermilab National Accelerator Laboratory have found evidence ...

Twitch wants the streamers who spend hours just chatting and gaming on the platform to stay well-informed about the features it’s in the process of test-driving. To that end, the company is launching ...

With many experts believing or entertaining the unproven possibility that COVID-19 had its origins in a laboratory, the pandemic re-ignited a debate over how the government should oversee federally ...

If you’d like to pursue being a researcher or scientist by profession, it’s helpful to understand the best way to develop hypotheses and test them to determine results. And even if you don’t decide to ...