Near-Sensor Edge Computing System Enabled by a CMOS Compatible Photonic Integrated Circuit Platform Using Bilayer AlN/Si Waveguides
Highlights
A novel near-sensor edge computing system integrates aluminum nitride (AlN) microrings for photonic feature extraction and Si Mach–Zehnder interferometers for photonic neural network operations, achieving real-time artificial intelligence (AI) processing.
Demonstrates high classification accuracy (96.77% for gestures, 98.31% for gaits) with low latency (< 10 ns) and minimal energy consumption (< 0.34 pJ).
Enables low-power, high-speed AI applications with seamless hybrid photonic-electronic integration on a bilayer AlN/Si waveguide platform.
期刊介绍:
Nano-Micro Letters is a peer-reviewed, international, interdisciplinary, and open-access journal published under the SpringerOpen brand.
Nano-Micro Letters focuses on the science, experiments, engineering, technologies, and applications of nano- or microscale structures and systems in various fields such as physics, chemistry, biology, material science, and pharmacy.It also explores the expanding interfaces between these fields.
Nano-Micro Letters particularly emphasizes the bottom-up approach in the length scale from nano to micro. This approach is crucial for achieving industrial applications in nanotechnology, as it involves the assembly, modification, and control of nanostructures on a microscale.