mergentia
machine intelligence beyond AI
synthetic intelligence
@ the edge
THE CHALLENGE
Learning at the edge
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Demands unsustainable levels of compute resources for ML and AI training in the cloud
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Requires collection, transfer, and storage of massive datasets, with >50% generated globally from IoT devices by 2025
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Is limited by data latency, which precludes real-time decision making and inflates cost while increasing privacy and security risks
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OUR SOLUTION
Synthetic intelligence
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Offers a new paradigm of energy-efficient information processing in scalable and reconfigurable functional materials
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Leverages self-organization in a brain-inspired, nanoscale architecture enabling real-time dynamic adaptation to edge data streams
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Pushes the limits of classical computation beyond current analog and neuromorphic hardware