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AI: how low can you go?


AI: how low can you go?
Markets are subject to fads and the embedded-control sector is far from immune to them. In the 1990s, fuzzy logic seemed to be the way forward and microcontroller (MCU) vendors scrambled to put support into their offerings only to see it flame out.
Embedded machine learning (ML) is seeing a far bigger feeding frenzy as established MCU players and AI-acceleration start-ups try to demonstrate their commitment to the idea, which mostly goes under the banner of TinyML.
Daniel Situnayake, founding TinyML engineer at software-tools company Edge Impulse and co-author of a renowned book on the technology, says the situation today is very different to that of the 1990s. ....

Daniel Situnayake , Linley Gwennap , John Edwards , Jan Jongboom , Jye Su , University Of Oxford , Linley Group Fall Processor Conference , Linley Group , Edge Impulse , Eta Compute , Tensorflow Micro , Machine Learning , Tensorflow Lite , Fall Processor Conference , Sigma Numerix , Arm Cortex M , Deep Learning , ஜான் எட்வர்ட்ஸ் , ஜெய் சு , பல்கலைக்கழகம் ஆஃப் ஆக்ஸ்ஃபர்ட் , லின்லி குழு வீழ்ச்சி ப்ரோஸெஸர் மாநாடு , லின்லி குழு , விளிம்பு உந்துவிசை , ஏத்த கணக்கிடு , இயந்திரம் கற்றல் , வீழ்ச்சி ப்ரோஸெஸர் மாநாடு ,