Machine learning is cutting through the fog in aerial dispersion of chemical threats. Understanding and predicting the dispersion and concentration of chemical warfare agents is a central factor in protecting the Joint Force. Currently, military commanders and staff plan large-scale combat operations using a best-guess method of where the enemy would place their chemical weapons on the battlefield. Reconnaissance teams in protective gear would confirm these estimates. Read this story
