The aerospace and manufacturing industries face a persistent physical contradiction: materials that block noise are typically too weak to support heavy loads, and strong structural materials lack the porosity needed to absorb sound.

Publishing in the International Journal of Extreme Manufacturing, researchers have merged acoustic engineering with robotic 3D printing to create a carbon-fiber composite that swallows sound waves while retaining the strength of industrial load-bearing panels.

Researchers introduce a novel generative AI-driven framework, MMCN (Memory-aware Multi-Conditional generation Network), for forecasting future urban layouts by jointly considering building density, building height, transportation networks, and historical development patterns. Leveraging a generative architecture-enhanced diffusion model with multi-conditional control, semantic prompt fusion, and spatial memory embedding, MMCN offers a novel approach to modeling complex urban evolution. This framework provides a powerful tool to explore sustainable urban development, demonstrating AI’s transformative potential in urban design.

Maize, rice and cassava drive more deforestation than major export-oriented crops like cocoa, coffee, and rubber. This has been shown by researchers from Chalmers University of Technology, Sweden, in the most comprehensive global survey of how different commodities are causing deforestation. The study confirms the major impact of meat production, but reveals several overlooked drivers of deforestation.