Additive Manufacturing (AM) enables the rapid creation of metal or polymer parts with previously unimaginable features and topologies and is therefore poised to disrupt a variety of industries 1,2.
Nowadays, ships are most often built of steel, which is a ferromagnetic material. This causes the occurrence of magnetization, which can be described by two components: permanent and induced 1.
Physics-informed neural networks are faster and more accurate at predicting space junk trajectories than conventional methods, says Sierra Space. Credit: Alamy Stock Photo Sierra Space says it can ...
In our increasingly electrified world, supercapacitors have emerged as critical components in transportation and renewable energy systems, prized for their remarkable power density, cycling stability, ...
On 17 October 2024, Martina Lamberti publicly defended her Ph.D. thesis, "Know the Past to See the Future: Memory and Prediction in In-Vitro Cortical Neurons," at the University of Twente. Her ...
Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
John J. Hopfield and Geoffrey E. Hinton received the Nobel Prize in physics on Oct. 8, 2024, for their research on machine learning algorithms and neural networks that help computers learn. Their work ...
Q.ANT successfully demonstrated a diffusion model and a recurrent neural network on its second-generation Native Processing Unit (NPU) at ISC High Performance 2026 in Hamburg. This proves that Q.ANT’s ...
After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately evaluating prognosis is challenging in patients on life-sustaining therapy ...
Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...