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

CORDIS · observation · Publication date unknown

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 perform at their best is a very high-density, reliable, non-volatile memory with infinite endurance. This ideal memory does not exist today, and it is unlikely it will ever exist. This project takes inspir

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recordType

award

status

SIGNED

region

EU

value

2874335

unit

EUR