Doing better with less
The 2HC team focuses on frugal AI. This involves developing computing paradigms, mainly event-based computing, that require few resources and can be implemented in lightweight hardware systems. This optimization of energy and hardware resources has applications in embedded systems and/or edge computing.
To achieve these objectives, the 2HC team uses all available solutions: simulation prior to design, use of nanocomponents (memristors, spintronic components), implementation on purely digital targets, and design of mixed circuits and systems. This wide range of technical solutions makes it possible to develop event-driven neural networks with both supervised and unsupervised learning properties.
