The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Three-dimensional or "volumetric" images are widely used in medical imaging. These images faithfully represent the 3D spatial relationships present in the body. Yet 3D images are typically displayed ...

Deep convolutional neural networks (DCNNs) don't see objects the way humans do -- using configural shape perception -- and that could be dangerous in real-world AI applications. The study employed ...