AI & ML interests
🎯 Primary Research Interests Model Quantization & Compression: Specifically focused on 1-bit architectures and binarized neural networks (BNNs) for extreme optimization. Edge Intelligence (TinyML): Deploying high-performance models on resource-constrained hardware and IoT devices. Systems-Level AI Integration: Researching the interface between proprietary operating systems (STRUCT OS) and deterministic AI execution. On-Device Computer Vision: Real-time spatial intelligence and object detection optimized for the "Intelligent Edge." Privacy-Preserving Local AI: Developing secure, locally-hosted assistants (Lucy) that function without cloud dependency.
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