When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

A new research model called PiGRAND merges physics guidance with graph neural diffusion to predict and control AM processes. Additive manufacturing (AM) teams have long sought reliable prediction and ...

A team of physicists has demonstrated two quantum error correction codes on a 32-qubit superconducting processor that require ...

Artificial intelligence (AI) and quantum technologies represent two of the most transformative scientific frontiers of the 21st century. While quantum ...

In astronomy, we rely heavily on visual information. Images from telescopes, graphs of light curves, plotted orbits, spectra ...

Rand Fishkin just published the most important piece of primary research the AI visibility industry has seen so far. His conclusion – that AI tools produce wildly inconsistent brand recommendation ...

Bolted joints are among the most common structural elements in precision machinery. They are used because they are strong, serviceable and reliable. Yet, despite their prevalence, the moment stiffness ...

Biogas is a renewable energy source formed when bacteria break down organic materials such as food waste, plant matter, and landfill waste in an oxygen‑free (anaerobic) process. It contains methane ...