daniel shiffman

Flight404’s recent exquisite work with additive blending and particles led me to return to an old project of mine. Of course, these days, revisiting a project translates to “add more LCD screens.”
We’ve successfully added support for passing larger amount of data across clients in the multi-screen framework and this has led to [...]

I’ve posted a brief tutorial on using JWNL, a Java library for accessing WordNet.
“WordNet® is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and [...]

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March 4th 2007. New York City3 Minutes
Wherein we pick a name we like (Tech Trek: Inside ITP) and catch ITP researcher and teacher Dan Shiffman working on 6, 32-inch TVs. His project is was just up and running when we talked to him. It’s an open source Java framework for spanning real-time graphics [...]

Watch VideoComing soon to a Processing library folder near you, I’m pleased to announce a new project I’m developing at ITP with Chris Kairalla, tentatively titled “Most Pixels Ever.”
“Most Pixels Ever” (not to be confused with “Best Pixels Ever”) is an open source Java framework for spanning real-time graphics applets/applications across multiple screens. [...]

I was just settling into a quiet evening of reviewing material for my A to Z class tomorrow when I stumbled across something quite shocking.
Mind you, I was in a fragile state, having finally released myself from a rather unhealthy personal obsession with the StringTokenizer, silently weeping (inside) while adjusting the examples to [...]

It’s been a while since I published a new work. But there’s nothing like a deadline. A year ago, I installed three of my works at the Jepson Center for the Arts in Savannah, GA. Since the installation was set to run for three years, it seemed like a nice, altogether reasonable [...]

A first pass at my Neural Networks in processing tutorial is ready for public consumption. So, before you go and consume a turkey, consume this link. And let me know if it makes any sense at all. . .? The examples are still trivial — Linear classification, Solving XOR [...]

Is it a penguin? A tooth? A surfer from the future? Whatever it is, this announcement sure does make me happy. Read more about it at Create Digital Motion, one of my new favorite blogs!