Cost-conscious method helps design automated materials labs before equipment is purchased

A research team from The Hong Kong University of Science and Technology (HKUST) has developed a new modeling and optimization framework that helps researchers design modularized autonomous experimentation (MAE) platforms for new materials by determining the optimal combination of equipment before construction begins, thereby reducing time and cost before the platform is physically built.

AI still isn’t as good at recognizing objects as people are, new test shows

Artificial intelligence has gradually made its way into many areas of life with abilities that often match or surpass those of humans. But a study published in the journal iScience finds that AI-powered machines have trouble recognizing objects from their overall shapes when aspects of an image are distorted. The findings offer a new way …