Compare Cloud and On-Device AI Costs Without Inventing Energy Numbers
“On-device AI saves battery” and “cloud AI is more efficient” can both sound plausible. Neither is a measurement. The placement decision crosses at le…
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Test a Pocket AI Device Across Battery, Offline, and Permission Loss
Pocket computers and first-PCB build stories are attracting attention today. For an AI-enabled edge device, a demo while plugged into Wi-Fi proves ver…
How I Benchmarked an LLM Running Entirely on a Phone (No Cloud, No API)
"It works on my test input" is the most dangerous sentence in on-device AI development. I typed that sentence - or some version of it - a dozen times …
What I Learned Untangling LiteRT, LiteRT-LM, and TFLite
When we started building Redacto - an on-device PII redaction app running Gemma 4 E2B on a Snapdragon 8 Elite - we kept tripping over three names: TFL…
How we catch silent NPU fallback on Snapdragon in CI (and why your eval set won't)
TL;DR — ONNX Runtime's QNN execution provider will quietly route unsupported ops to the CPU instead of the Hexagon NPU. Your accuracy is fine. Your ev…
ESP32-S3 กับ TinyML: สร้างระบบรักษาความปลอดภัยบ้านอัจฉริยะด้วย Edge AI ตรวจจับความผิดปกติแบบ Real-time
🔐 ทำไมต้อง Edge AI สำหรับบ้าน? ปี 2026 นี่เราต้องการระบบ security ที่ไม่ต้องพึ่ง cloud ตลอดเวลา ถ้าอินเทอร์เน็ตล่มแล้วระบบตั้งรับไม่ได้ ก็จบ ยิ่งตอนนี…
ESP32-S3 + TinyML: Build a Real-Time Edge AI Home Security System That Runs Without the Cloud
🔐 Why Edge AI for Home Security? In 2026, we need security systems that don't rely on cloud 24/7. If your internet goes down, your cloud-based camera …