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The project DIVERSE aims to develop energy-efficient cognitive computing technologies inspired by insect nervous systems. By leveraging low-density, low-endurance resistive memories, it seeks to enable real-time decision-making in noisy environments, applicable in robotics and wearable electronics.
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 electroni…
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