Sanjeet Bagcchi A low-cost machine learning method has the potential to track down immensely polluting brick kilns in Bangladesh, helping regulators monitor environmental compliance, new research shows. Researchers from Stanford University, US, and the International Centre for Diarrhoeal Disease Research, Bangladesh, say the combination of artificial intelligence and satellite imagery offers an inexpensive and scalable method for monitoring informal… Continue reading Targeting pollutive brick kilns in Bangladesh with AI