mergentia
machine intelligence beyond AI
synthetic intelligence
for learning at the edge
THE CHALLENGE
On-device 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
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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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A novel, Goldilocks paradigm combining the robustness and speed of hardware with the low-power, adaptability and complex architectures of wetware
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Energy-efficient information processing in scalable and reconfigurable functional materials enabling real-time learning to edge data streams
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Co-designed hardware and software solutions to push the limits of classical computation beyond current analog and neuromorphic hardware
