- Deploy a new class of ultra-small and low-energy CMOS-compatible plasmonic electro-optic and thermo-optic waveguide platforms
- Develop 100 Gb/s ultra-compact plasmonic modulators on SiN for on-chip E/O signal conversion and activation in neuromorphic circuit layouts
- Deploy ultra-compact, low-energy and CMOS-manufacturable plasmonic computation devices for neuromorphic weighting
- Deploy a powerful 3D cointegrated plasmo-electro-photonic neuromorphic circuit technology
- Deploy ultra-compact and energy-efficient programmable linear plasmonic neurons
- Deploy ultra-fast plasmo-electronic and nanophotonic activation functions
- Experimentally validate plasmo-electronic and plasmo-photonic neurons in feed-forward and recurrent inference applications
- Develop training models for neuromorphic plasmonic circuits and evaluate their performance in real DataCenter IT security-oriented applications
- Generate a neuromorphic plasmonic circuit software design library for lowering the access barriers of PlasmoniAC technology and validating its use in Deep Learning architectures
