Building the Future of AI Kernel
Intelligent systems that bring artificial intelligence closer to the device — enabling fast, efficient, reliable, and locally processed AI.
Explore Embedded AIAbout Embedded AI
Embedded AI combines artificial intelligence with embedded computing platforms to create smart devices capable of sensing, processing, learning, and making decisions locally. The goal is to deliver intelligent solutions with low latency, improved privacy, and efficient use of computing resources.
Focus Areas
Technologies supporting intelligent edge systems
Edge AI
Run AI inference directly on embedded and edge devices with minimal latency.
AI Hardware
Explore CPUs, GPUs, NPUs, FPGAs, and specialized accelerators for AI workloads.
Computer Vision
Develop intelligent vision systems for detection, identification, inspection, and diagnostics.
Embedded Systems
Integrate AI algorithms with real-time embedded platforms and resource-constrained devices.
RISC-V & FPGA
Investigate customizable processor architectures and FPGA-based AI acceleration.
AI Optimization
Optimize models and hardware for performance, power efficiency, memory, and real-time operation.
Embedded AI Research & Development
Engineering intelligent solutions at the edge.