Edge intelligence
On-device inference, quantization, latency tuning, voice-first systems, and edge-to-cloud architecture.
Architecture, experiments, design tradeoffs, and research notes across embedded systems, AI/ML, automotive platforms, cloud engineering, and emerging computing.
This page is now structured as the technical publishing hub for Zenova Systems.
On-device inference, quantization, latency tuning, voice-first systems, and edge-to-cloud architecture.
Concurrency, memory behavior, IPC, undefined behavior, performance, ownership, and low-level design.
AOSP, HALs, connectivity, telematics, audio, diagnostics, security, and platform integration.
Backend systems, Firebase, Google Cloud, OTA, observability, APIs, and secure device integration.
LLMs, RAG, agentic workflows, anomaly detection, model evaluation, and AI-assisted engineering.
QCNNs, hybrid workflows, quantum-assisted classification, and experimental architectures.
These are high-value technical themes for upcoming Zenova articles. Existing blog posts can be linked into this list as they are standardized.
Hardware/software integration, voice interaction, diagnostics, connectivity, inference, and reliability.
A systems approach spanning C/C++, Rust, Java/Kotlin, logging, profiling, and AI-assisted debugging.
Architecture boundaries, services, Binder/IPC, native components, hardware interfaces, and debugging.
Practical research questions, encoding choices, circuit design, evaluation, and limitations.
As Zenova articles are published, this page can evolve into a searchable collection organized by architecture, platform, language, and research area.