Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce identical items. However, even slight changes in conditions can lead to defects, so the process has long relied on the intuition of highly skilled workers. Now, KAIST researchers have proposed an AI-based solution that autonomously optimizes processes and transfers manufacturing knowledge, addressing concerns that expertise could be lost due to the retirement of skilled workers and the increase in foreign labor.

Starlight and stardust are not enough to drive the powerful winds of giant stars, transporting the building blocks of life through our galaxy. That’s the conclusion of a new study from Chalmers University of Technology, Sweden, of red giant star R Doradus. The result overturns a long-held idea about how the atoms needed for life are spread.

Want faster internet from space? A new study shows how smarter satellite layouts can boost both data and computing power—cutting costs while improving coverage.

A team led by Prof. Fei Ling from South China University of Technology developed PRTS (Pathology-driven Reconstruction of Transcriptomic States), a deep learning framework that predicts single-cell-resolution spatial transcriptomics directly from H&E-stained histology images.

A new study in Engineering reveals how macrophage-released U2AF1 aids heart repair after heart attack by steering Yap1 splicing toward the pro-angiogenic Yap1-2γ isoform, offering a potential biomarker and therapeutic target for improving cardiac recovery.

Researchers have achieved a groundbreaking discovery that bridges artificial intelligence and nuclear physics. By applying deep learning techniques to a vast amount of unexamined nuclear emulsion data from the J-PARC E07 experiment, the team identified, for the first time in 25 years, a new double-Lambda hypernucleus.

POSTECH develops a magnetic-field battery technology that prevents explosions and delivers four times the capacity.

Tokyo, Japan – Researchers from Tokyo Metropolitan University have successfully traced the mechanism behind how an industrially important “superbase” catalyst is synthesized in a faster, microwave-assisted reaction. They took measurements using X-rays while the reaction occurred, uncovering how small precursor molecules were formed first before they clustered to create the final product. Their insights promise finer control over a promising technology for speeding up chemical synthesis in industry.