Quantity and quality of data are not enough to take full advantage of machine learning. The structures built around data -- and the way data is structured -- influence the value you can derive ...

In an exclusive interview with ArchDaily, we explore the company's thoughts on generative design, machine learning and new emerging technologies. Save this picture! Courtesy of Quarra Stone ...

Courtesy of Arup. Designer and Fulbright fellow Stanislas Chaillou created a project at Harvard utilizing machine learning to explore the future of generative design, bias and architectural style ...

Recently, Google released an Architecture Diagramming Tool allowing the creation of architectural diagram of solution architecture with the available Google Cloud Platform (GCP) services. BT InfoQ ...

Researchers at the Berryville Institute of Machine Learning (BIML) have developed a formal risk framework to guide development of secure machine-language (ML) systems. BIML's architectural risk ...

The model is based on a two-step Deep Operator Network (DeepONet) architecture that includes symmetry-preserving features to handle the geometric characteristics of architected materials. The paper ...