Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

A close-up of a laser-directed energy deposition (LDED) system fabricating the novel AI-designed ultra-high strength steel, which achieves a rare balance of strength and ductility, excellent corrosion ...

Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the ...

The University of Bath has filed a patent for automated material calibration on FFF systems. The patent document describes a 3D printing system that could automatically identify an unknown material, ...

In earthquake-prone areas like Japan, there is a need for better prediction of soil stability to mitigate liquefaction risks. Towards this end, researchers have used machine learning models, including ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, is exploring a federated training framework for hybrid ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...