We pursue a holistic approach toward building such computing systems by developing novel algorithms, system architectures and nanoscale devices that mimic some of the key computational mechanisms of the brain.

We are also developing proof-of-concept prototypes that could be used to implement state-of-the-art machine-learning algorithms for applications that have limited energy and computing resources, such as mobile devices and sensor networks.

We are collaborating with some of the world’s leading research groups in this field, including industrial research labs such as Intel and IBM and universities such as King’s College London and École Polytechnique Fédérale de Lausanne