DATE 2021 became a virtual conference due to the worldwide COVID-19 pandemic (click here for more details)

Taking into consideration the continued erratic development of the worldwide COVID-19 pandemic and the accompanying restrictions of worldwide travelling as well as the safety and health of the DATE community, the Organizing Committees decided to host DATE 2021 as a virtual conference in early February 2021. Unfortunately, the current situation does not allow a face-to-face conference in Grenoble, France.

The Organizing Committees are working intensively to create a virtual conference that gives as much of a real conference atmosphere as possible.


ET3.8.1 AI on Chip: Perception, Learning, and Control in Neuromorphic Hardware

Yulia Sandamirskaya, Neuromorphic Computing Lab, Intel Labs, Germany

Today, Artificial Intelligent systems are dominated by deep neuronal networks that learn to solve tasks from data. The DNNs have replaced computer vision architectures with hand-crafted features and have revolutionised data and signal processing. In order to train and run DNN architectures efficiently, specialised hardware accelerators are developed. One type of these accelerators is neuromorphic hardware, originally developed to emulate behaviour of biological neurons using electrical circuits. Modern neuromorphic devices such as Intel’s Loihi research chip directly execute spiking neuronal networks and often include plasticity — the ability of network connections to change on the fly based on local activity in the network. This hardware promises a new computing framework that goes beyond deep learning. These new computing framework features ultrafast event-based inference and one-shot learning — key capabilities to deploy DNNs in low-latency applications in dynamic environments. This talk will show how neuromorphic hardware can be used to solve robotic tasks.