The three Red Monsters represent the core findings of this work – these extremely massive and dusty galaxies in the first billion years after the Big Bang indicate that the early Universe is forming ...

The three red monsters are extremely massive and dusty galaxies in the first billion years after the Big Bang.

3D reconstruction of the fossil skull of the sub-adult early Homo from the Dmanisi site in Georgia. The green, orange and red colors represent the preserved teeth (imaged respectively with the ...

Paul Tafforeau and Vincent Beyrand at the European Synchrotron (ESRF), scanning teeth. Credit: ESRF/Stef Candé 3D reconstruction of the fossil skull of the sub-adult early Homo from the Dmanisi site ...

As AI becomes more embedded in healthcare, it's essential to understand how we can leverage these tools to improve patient care and the physician experience,” said UVA Health's Andrew S. Parsons, MD, ...

Stoebe daisy bushes included in the study on a mountain slope near Villiersdorp in the Western Province of South Africa.

A new X-ray detector produces a high-quality radiograph that shows a metal needle (top right) and the interior of a USB drive (bottom right) using lower doses of electromagnetic radiation than ...

The circuit developed as a demo could solve two classic combinatorial optimization problems simultaneously, namely the max-cut problem (top) and the four-color problem (bottom). Disclaimer: AAAS and ...

A new scientific statement from the American Heart Association highlights new clinical data related to diagnosis, risk classification and treatment, emphasizing the need for tailored management strate ...

Usage Restrictions Images are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the ...

Stories on the discovery of vital fluid-transport systems in the human body are among the winners of the 2024 AAAS Kavli Science Journalism Awards. Winning journalists also did immersive stories on ...

Scientists have developed a new machine-learning model to predict microbial load — the density of microbes in our guts — and ...