Mar 11 · 7 min read · Why Engineers Are Re-Thinking Embedded Design Today Can microcontrollers run machine learning reliably without cloud dependency or high power consumption? That question is now shaping modern embedded
Join discussionDec 26, 2025 · 3 min read · Introduction Today’s Day 1 of learning Machine Learning. So, I picked up a course called “Introduction to TinyML,” to start learning ML. This course is a little bit special, compared to your other ML courses. TinyML is about Machine Learning on Embed...
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Dec 23, 2025 · 3 min read · I’m writing this just to leave some clarification as to where exactly I’m starting. Identifying where you’re starting might help with understand which parts you can do well and which ones you need improve on, such that you can learn whatever that is ...
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Oct 8, 2025 · 5 min read · Did you know that by 2030, more than 25 billion IoT devices will be connected worldwide (Statista)? Imagine if each of those devices, whether your smartwatch, home sensors, or even farm drones, could think and act intelligently without relying on the...
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Aug 28, 2025 · 3 min read · Introduction TinyML (Tiny Machine Learning) is transforming how AI works on constrained hardware. Instead of relying on cloud servers, TinyML models run locally on microcontrollers, IoT sensors, and edge devices with limited memory and processing pow...
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May 31, 2025 · 1 min read · I’m excited to announce that I’ve officially published my capstone project report, Kilimovision: A Mobile-based AI System for Tomato Disease Detection and Treatment Recommendations, on Academia. This is a project that is very close to my heart and it...
Join discussionNov 8, 2024 · 3 min read · Building robust AI models for Edge applications, like predictive maintenance, is an intricate process, especially when these models are deployed in environments with limited resources like low-end devices like MCU, single board computer(SBCs), Mobile...
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May 25, 2024 · 9 min read · Because ML can be power hungry, we want to make sure we're as efficient as possible in classifying. And misclassifications, due to overfitting, might really hurt your app. Imagine if the only shoes you had ever seen in your life were hiking boots. N...
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