The traditional manufacturing business value chain runs from components to the manufacturers to the end consumer. This shifted a bit when companies started pushing software as the source of most of their value, and now, as connectivity changes the … [Read more...]
Fake data is great data when it comes to machine learning
It’s been a few years since I last wrote about the idea of using synthetic data to train machine learning models. After having three recent discussions on the topic, I figured it’s time to revisit the technology, especially as it seems to be gaining … [Read more...]
SmartThings will kill legacy features to make a smarter home
To hear more about this, check out my podcast with Mark Benson of SmartThings. Samsung SmartThings will undergo several big changes in the next year or so that will affect developers, smart device makers, and customers as it tries to move … [Read more...]
NXP opens a window into how ML algorithms work
As we place more decision-making on machine learning (ML) algorithms, companies are investing in technologies that let algorithms "show their work" so that we can avoid errors. I wrote about this need back in January for IEEE Spectrum, and this month … [Read more...]
IoT sensors, machine learning and chips were the real stars of Apple’s WWDC 2020
While watching the virtual Apple WorldWide Developer Conference on Monday, I imagined that if people were actually at the event, they’d be oohing and aahing over new software for iOS and Mac devices. I wasn’t. Well not quite. Instead, I was … [Read more...]
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