Medical Imaging
Advanced reconstruction algorithms, AI-enhanced diagnostics, and multimodal imaging fusion for next-generation medical devices.
Research & Development
Pushing the boundaries of AI hardware, medical imaging, and semiconductor innovation.
Our R&D team collaborates with academic institutions and industry partners to advance the state of the art in AI acceleration, medical imaging, computer vision, and next-generation semiconductor technologies. We publish findings, contribute to open-source projects, and translate research into production-ready engineering solutions.
Focus Areas
Research Areas
Active research programs driving innovation across multiple domains.
Computer Vision
Object detection, semantic segmentation, 3D vision, and multi-camera systems for industrial and autonomous applications.
AI Hardware
Novel accelerator architectures, in-memory computing, and neuromorphic design for efficient AI inference.
CNN Accelerator
Dedicated hardware for convolutional neural networks with optimized dataflow and memory access patterns.
TinyML
Machine learning on microcontrollers with sub-milliwatt power budgets for IoT and wearable applications.
Edge AI
Distributed intelligence at the network edge with real-time inference on constrained hardware platforms.
Future Semiconductor Research
Exploring next-generation process nodes, 3D integration, chiplets, and quantum-resistant cryptography hardware.
Collaboration
Research Partnerships
We welcome collaborations with universities, research labs, and industry partners.
Academic Partnerships
Joint research projects, student internships, and funded PhD programs.
Industry Collaborations
Co-development of IP blocks, accelerators, and reference designs.
Open Source
Contributing tools, models, and datasets to the engineering community.
Interested in Research Collaboration?
Connect with our R&D team to explore partnership opportunities.
Contact Us