Vianello Lab

Research focus

ERC Consolidator Grant · 2021

Heterogeneous integration of imprecise memory devices to enable learning from a very small volume of noisy data

The artificial intelligence community, inspired by the tremendous progress made in neuroscience, has recently proposed powerful algorithms to enable effective real-time decision making based on a limited volume of noisy sensory data. However, implementing such algorithms in low-power devices remains a challenge due to the energy inefficiency that comes from separating logic and memory in current electronic systems. For the past 10 years, research groups have been developing alternative electronic components and systems, such as brain inspired computing architectures and novel resistive memory technologies to address this design bottleneck. The critical feature for these new technologies to…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.