Yochai Benkler’s conceptualization of commons-based peer production informs us that affordable tools + love of a topic + people connected across the world creates unusual and interesting innovations. Affordable espresso solutions + the internet (and love of espresso) means that we can expect to see some wonderful innovations in the espresso world, not just in our wonderful cafes, but also in our homes. A cottage … Continue reading 🛠➕💘➕🤼🌐=😲☕
In a previous post on combining coffee and AI, a combo which makes me think of the kind of marketing genius that was Dinosaur Train (Dinosaurs!: But with trains!::Artificial Intelligence!:But with coffee!), we explored the application of deep learning models to coffee extraction. The underlying question, can we easily and quickly train an deep learning model to read a analog gauge so we can digitize … Continue reading Gauging the best way to combine Deep Learning and Coffee — Bean 2
Bad puns are a currency in my household these days. Sorry/not sorry. Artificial Intelligence, whether machine learning or deep learning, have developed a lot of cachet of late. Some of it is deserved, some is overblown. We are somewhere interesting on the hype curve. As a remote sensing person from way back, I can’t ignore the work in this field, but I also need to … Continue reading Gauging the best way to combine Deep Learning and Coffee
Pre-script: I don’t make money from any of the links in this post. I just want you to be able to find great ways to make coffee, and if these links help, so much the better. Disclaimer 2: I am not a coffee expert. I have just read a lot of coffee stuff on the internet After being an avid green tea drinker for a … Continue reading Coffee, coffee, coffee
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