MIT engineers have developed an open-source database called "DrivAerNet++," containing over 8,000 aerodynamic electric vehicle designs. This resource aims to enhance the speed and efficiency of EV design by integrating with AI, allowing for rapid iterations and improved aerodynamics testing without physical prototypes. The dataset could significantly reduce research costs and expedite the development of more efficient vehicles, supporting advancements in the electric vehicle industry and its environmental impact.