Evolutionary algorithms, inspired by natural selection and genetics, offer versatile frameworks for exploring complex design spaces where traditional analytical methods falter. By iteratively evolving ...

Optimisation algorithms form the backbone of modern engineering design, enabling automated search for optimal configurations under complex physical, structural and performance constraints. Broadly ...

Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

Machine learning and generative design are profoundly shaping modern life. A central critique to the value and advancement of artificial intelligence, especially in the context of architecture, is the ...

An international team of scientists from the University of Luxembourg, Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin and Google has now successfully developed a ...

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...