Augmented Cognition is about enhancing human information-processing capabilities through the design of adaptive interfaces via physical, psychological, and cognitive state estimation. For a robust and efficient state estimation, we represent the state of the world in a low-dimensional embedding called "pose", which is a succinct interpretable representation of the important information in the state. At ACLab, we use machine intelligence (mainly Computer Vision and Machine Learning) to solve these pose estimation problems and to give human leverage, not to replace them! ACLab is part of the The Signal Processing, Imaging, Reasoning, and Learning (SPIRAL) Group at the Northeastern University.