Insider brought together founders, R&D leaders, university representatives, and advisers to explore how businesses are using research and development to solve practical problems and ...

This year’s winners are driving real impact at some of the world’s most influential companies, including LatentView Analytics ...

In my Sex, Drugs, and Artificial Intelligence class, I have strived to take a balanced look at various topics, including ...

By applying machine learning to vast TESS datasets, researchers have built one of the most precise catalogs of nearby exoplanets to date.

Applying biochar to soil is a recognized strategy for combating climate change, primarily by locking away carbon for long ...

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...

Use of CT is proven to save lives in patients eligible for lung cancer screening, which includes most patients with COPD, said Barr, professor of medicine and epidemiology at Columbia University ...

Today's nearly $70 billion U.S. biofuels economy is powered by two technology toolboxes. Biochemical technologies—used to produce around 17 billion gallons of ethanol annually—leverage microorganisms ...

How Can Machine Identities Enhance Cybersecurity? Could the management of non-human identities (NHIs) be the key to strengthening cybersecurity across various industries? With the increasing adoption ...

For farms hesitant to increase fiber inclusion, the 14% improvement in energy prediction accuracy provides a more reliable ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...