A novel apparatus at the U.S. Department of Energy's (DOE) Argonne National Laboratory has made extremely precise measurements of unstable ruthenium nuclei. The measurements are a significant ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

The Dark Energy Survey Collaboration collected information on hundreds of millions of galaxies across the universe using the ...

To explain these observations, they proposed a new kind of energy that is responsible for driving the universe’s accelerated expansion: dark energy. Astrophysicists now believe dark energy makes up ...

Six years of Dark Energy Survey observations combine four cosmological probes to refine measurements of cosmic expansion, dark energy behavior, and matter clustering across billions of years.

Optimizing chemotherapy decisions in low-resource settings with deep learning: A novel approach for unresectable NSCLC. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This ...

Astronomers have been confounded by recent evidence that the universe expanded at different rates throughout its life. New findings risk turning the tension into a crisis, scientists say. When you ...

The Atacama Cosmology Telescope (ACT) in Chile has released its final batch of data after 15 years — and it proves that the Hubble tension, a rift in our understanding of the universe, is very real.

A novel, open-source, deep learning model can accurately quantify 18 anatomic and Doppler measurements in echocardiography, showing promise that it can one day automate this process and save time, ...

In the fast-paced industrial environment of today’s plastics and composites manufacturing, ensuring product quality and optimizing processes are essential. Manufacturers face unique challenges, such ...