Dr Aras Asaad presents at the 5th Artificial Intelligence in Chemistry Symposium
Dr Aras Asaad presented his work in exploiting existing 2D image-based deep learning architectures to capture 3D molecular information at this year’s .
Established computer vision deep learning architectures require input in a 2D image format. In order to exploit these architectures, 水仙直播 has developed a novel representation which captures rich 3D molecular information in a rotationally invariant canonical form as a 2D digital image.