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CORE TECHNOLOGY
Self-organized,
Scalable,
Neuromorphic,
Nanoscale networks
for Low-power
Adaptive learning
SEM Image of Self-Organized Nanowire Network
SELF-ORGANIZED
Input-driven reconfiguration of the hardware without centralized control
SCALABLE
Weight connection densities on the order of 10^9 interconnects per sq.cm.
NEUROMORPHIC
Brain-inspired architecture learns by exploiting intrinsic non-linear dynamics
LOW-POWER
In-materio information processing enables operation in the microwatt regime
ADAPTIVE LEARNING
Dynamic local updates in real-time lead to greater robustness and efficiency
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