PUBLIC MARKS with search deep

What does music look like? The Shape of Song is an attempt to answer this seemingly paradoxical question. The custom software in this work draws musical patterns in the form of translucent arches, allowing viewers to see--literally--the shape of any composition available on the Web. The resulting images reflect the full range of musical forms, from the deep structure of Bach to the crystalline beauty of Philip Glass.

I realized that instead of complaining, I could help by pointing to some papers which are easily available online and which (to me at least) point to some of the most interesting ideas about software. To me, these are classic papers which contain deep things you oughta know about code – the material you work with.

added to the toread list

une règle des bibliographies françaises sur l’écologie : elle ne compte aucun représentant, direct ou indirect, de l’écologie philosophique, de l’éthique environne-mentale, ou de la « deep ecology ». Ni le Norvégien Arne Naess (né en 1912), ni les Américains John Baird Callicott (né en 1941), Aldo Leopold (1887-1948), Edward Abbey (1927-1989), Edward O. Wilson (né en 1929), ni le Britannique James Love-lock (né en 1919) n’y figure. Pourquoi ? Parce qu’ils ne sont pour ainsi dire pas traduits en français. Pourquoi ne sont-ils pas traduits en français ? Parce que l’écologie philosophique a chez nous la réputation d’être une pensée « controversée ».

Montreal's Cote St-Luc Collector, named Oval Flow by discoverers Nel and Andrew, is a collector sewer that drains the streets and toilets of a swath of western Montreal. Like many of the systems recently discovered in Montreal, it's very long, very deep, and very full of combined sewage.

Deep calculates the range of colors used in each of your images by analyzing the pixels and calculating the most popular colors.

Google's Alon Halevy admitted that the search giant has "not been doing a good job" presenting the structured data found on the web to its users. By "structured data," Halevy was referring to the databases of the "deep web" - those internet resources that sit behind forms and site-specific search boxes, unable to be indexed through passive means.

In our research, we found that the most effective teams were skilled in all five styles, choosing the style that best fit the needs and goals of a project. For example, they might concurrently be involved in deep research on a User-Focused project, while relying on their experience for a Genius designed project, and spend a little time whipping out some one-shot functionality whose results would be Unintended Design.

Since the teams are working with different styles all the time, does it matter? Our research says it does. The teams that produced the best experiences knew these styles well and how to quickly switch between them. They knew when they needed to go whole hog and pull out all the stops for a User-Focused style project, while also knowing when it was important to bang out a quick design, knowing the results would essentially be unintended. Those teams had a rich toolbox of techniques and a solid understanding on how and when to use them.

There is no silver bullet.