Transformative technology leveraging Reconfigurable Intelligent Surfaces for neural computation.
Our PNN technology replaces traditional digital processors with electromagnetic metasurfaces, enabling AI computation through physics for breakthrough power efficiency.
Explore TechnologyValidated across multiple domains with real-world datasets
Real-time image classification, object detection, and visual pattern recognition at the edge.
Voice command recognition, keyword spotting, and acoustic signal processing for hands-free control.
Physiological signal analysis for health monitoring, diagnostics, and wearable medical devices.
Vision Transformer architectures for image upscaling with RIS-augmented attention mechanisms.
Optimized inference for low-power microcontrollers and embedded systems.
Token embedding and attention acceleration for large language model inference.
Redefining power efficiency from edge to cloud
Compact electromagnetic processing replaces bulky digital accelerators, enabling deployment in space-constrained environments.
up to 90% parameter savings demonstrated in Vision Transformer implementations with maintained accuracy.
Analog electromagnetic processing significantly reduces power consumption compared to digital alternatives.
15ms measurement cycles enable responsive edge applications for autonomous systems and IoT devices.
Partner with us to bring physical neural networks to your edge deployment challenges.
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