A new technical paper titled “DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design” was published (preprint) by researchers at UCSB and Cadence. “Thermal issue is a major ...

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 ...

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper, ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Abstract: Performing 3D inversion and representation of coal seam anomalies based on ground-penetrating radar (GPR) data is a highly promising approach for achieving safe, precise, and efficient ...

Applied to apple and pear fruit, the model achieved very high accuracy, outperforming previous 2D approaches and traditional algorithms. The 3D structure of plant tissues underlies vital metabolic ...

A Brisbane social enterprise and not-for-profit is tapping into the talent inside prisons to reskill inmates in graphic design and 3D animation, preparing them for employment opportunities on the ...