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David Benqué @davidbenque@mastodon.social

🃏Wildcard Question:
Does anyone here into know of a way to visualise a single light ray's bounces in a render? something like the image attached. Could be a script, plugin, research paper, anything!

RCA: The SHOW is in 8 weeks, submit your images NOW! have you thought about patent applications?! and funding rounds?

Goldsmiths:

💡 Add some lines to your outline for that "yea I totally know what I'm doing" look.

Also got the Pi set up on the home network. Ready to receive the beast and crunch horoscopes all day. It's all happening.

I've been enjoying the Hydrogen package for interactive coding in Atom. Half way between a notebook and an IDE. Great for messing around and then either put in production or export as notebook to write it out.

atom.io/packages/hydrogen

Fully automated the cover of The Monistic Almanac today
$ sh make-cover.sh
and boom:

Just submitted my first ever book chapter draft. This is exactly how I feel.

You: "artificial intelligence"
Me:

Another almanac notebook draft:
🌪💣 The Carbon Prophet 🔮🏭
Forecasting carbon emissions with Facebook Prophet (time series forecasting for business) with data from: 💀carbondoomsday.com/

💒☉♀☿♃☾🐍 My draft notebook implementing electional in is complete. Best dates to get married in the next 365 days, you're welcome!

Next up: another one about when to conduct business, and maybe when to cut your hair.

Peak data mysticism and almanac goodness: astrology Excel sheets which fill themselves on DOB input

cycleofgrowth.com/

A few hand-picked company names from the Panama Papers database

Presenting Counting the Future at the RCA today: IED students this morning, and to my fellow researchers this afternoon. Good opportunity to try and pull things together, and to name things:

☄️✏️⚡️ epic meta-diagramming ⚡️🌊💻

mastodon.social/media/KaaxKHoe

The citation link between Fisher's linear separation of the Iris dataset (Annals of Eugenics, 1936)—widely used as a demo and/or benchmark for classifiers—and Support-Vector Machines from Cortes and Vapnik (1995).

more on SVMs in Mackenzie's Machines Learners (ch.6 Patterns and Differences)

Fisher: onlinelibrary.wiley.com/doi/10

Cortes and Vapnik: link.springer.com/content/pdf/

mastodon.social/media/NogiM9AT mastodon.social/media/nyk0kHhk mastodon.social/media/VYWRFqL2 mastodon.social/media/VtDLTR-q

On the development front, made some progress this week. The graph view is taking shape (although plenty of 'special cases' to hard code which is part of the fun), and image view + reference view were nice and easy to implement.

the back end is getting ... rhizomatic


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