6 research areas, 10+ active projects, 3 chip architectures. Custom AI accelerators, edge AI chips, and hardware-AI co-design.
Presear's AI Hardware Research Division is an active R&D organisation working at the intersection of AI and semiconductor design. This is a research and partnership division β not a commercial product. Semiconductor companies, hyperscalers, and academic institutions are invited to explore collaboration.
| Area | Focus |
|---|---|
| Custom AI Accelerators | Domain-specific chip architectures optimised for inference workloads |
| Neuromorphic Computing | Spiking neural network (SNN) hardware for energy-efficient AI |
| Edge & Embedded AI | Ultra-low-power AI chips for IoT, robotics, and embedded systems |
| Hardware-AI Co-Design | Joint optimisation of neural network architectures and silicon design |
| Sustainable Silicon | Green chip design β reducing power consumption and carbon footprint of AI |
| Quantum-AI Hybrid | Exploring quantum-classical hybrid computing for AI acceleration |
Contact Presear to discuss R&D partnership terms.