Perception tasks for scene understanding in such complex environments as on our streets, are currently best solved using Deep Learning techniques. In particular, multitask learning (MTL), has gained popularity, as […]
Nonlinear Dynamics and Chaos
Almost all real world systems are inherently nonlinear. This two-semester coursework studies this fascinating general class of systems from local near-equilibrium behaviors to globally attracting manifolds. Assignments Nonlinear Dynamics and […]
Hardware Accelerators for Deep Neural Networks
Deep Learning methods applied to computer vision task solve problems with previously unimaginable precision, for instance in semantic segmentation and object recognition. Perhaps the major drawback of deep neural networks […]
High Performance Computing
Exploiting large computing clusters for solving challenging scientific and engineering problems is a fascinating discipline, bridging the gap between algorithms and advancements in multi-core CPU and GPU technologies. In this […]