Evolutionary algorithms (EAs) represent a class of heuristic optimisation methods inspired by natural selection and Mendelian genetics. They iteratively evolve a population of candidate solutions ...

The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials. Drawing ...

This certificate program is not currently admitting new students. The Graduate Certificate in Computational Artificial Intelligence & Machine Learning provides a strong foundation in this emerging ...

Expensive optimization problem (EOP) refers to the problem that requires expensive or even unaffordable costs to evaluate candidate solutions, which widely exist in many significant real-world ...

“Life” and “intelligence” are terms with heavily contested meanings. This discussion will offer a novel, unified perspective on both, as described in Blaise Agüera y Arcas’ new book, What Is ...

In this video, I explain how computer scientists simulate evolution to train or evolve AI. Explore the fascinating ...

Sahaj Tushar Gandhi, a machine learning engineer specialising in computer vision and AI applications, works across academic and industrial fields. He has a Master of Science in Computer Science from ...

A team led by Northwestern Engineering researchers has developed the first artificial intelligence (AI) to date that can intelligently design robots from scratch. To test the new AI, the researchers ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the crucial debate about whether ...

The next great transformation may be the rise of networked minds, the merging of human and machine intelligence into distributed systems of shared cognition.

Historically, architectural intelligence has expressed our ability to respond to spatial, climatic, cultural, and functional challenges. Early on, this intelligence was intuitive and empirical, rooted ...