TinyML
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Privacy Preserving Smart Home Camera System By Angel Lalu Smart home systems are increasingly adopting intelligent sensing technologies to understand indoor environments and automatically adapt to the user's needs. Among these technologies, cameras play a critical role in tasks such as human presence detection, room occupancy monitoring, and context-aware automation for… |
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Nordic Integrates Automated TinyML with nRF54 Series Through Neuton.AI Deal Nordic Semiconductor is acquiring Neuton.AI’s core technology and IP. Neuton.AI specializes in automating Tiny ML processes, making it easy for non-experts to build AI models. Nordic plans to integrate Neuton.AI’s platform with its own nRF54 Series chips. These are chips that use very little power, with popularity among battery-operated devices. The combination should allow for smarter devices… |
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High Accuracy Low-Bit Quantized Neural Networks on a 10-cent Microcontroller The BitNetMCU initiative streamlines the development of highly accurate neural networks for basic microcontrollers, such as the CH32V003, the famous 10 cents RISC-V MCU from WCH. Although recent attention has been on sophisticated AI tools like large language models and image generators, simpler AI applications are proving valuable across various sectors. For example… |
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Tomato Sorting Machine using Edge Impulse TinyML on Raspberry Pi Manually sorting items is one of the most exhausting and time-consuming tasks. Manual sorting, whether of fruits or veggies or anything else, takes a lot of manpower and time. So, in this tutorial, we have tried to build a tomato sorting machine that could distinguish between red and green tomatoes. This Raspberry Pi-based Tomato Sorting system uses TensorFlow modules… |
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Introduction to TinyML: What is it and Why does it matter? TinyML introduces Machine Learning to the scene by incorporating Artificial Intelligence into small hardware components. You’ll need some knowledge of machine learning and embedded software development to build a TinyML project. Neither of these abilities is common, and only a few people are proficient in both. So, to make you familiar with TinyML and its applications, we… |
