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    7. Any motorcyclists?

      ~hobbies Ask (survey)
      I'm about to do my full motorbike licence here in the UK (direct access course) and currently looking at my first big bike, thinking about a 600cc Triumph at the moment. Wondered if there are any...

      I'm about to do my full motorbike licence here in the UK (direct access course) and currently looking at my first big bike, thinking about a 600cc Triumph at the moment. Wondered if there are any other riders here on tildes, what do you ride, what's your history with bikes etc.?

      16 votes

    42. Programming Challenge: Convert between units

      ~comp Text 333 words
      Hi everyone! It's been a long time since last programming challenge list, and here's a nice one I've encountered. If you search for something like 7km to AU, you'll get your answer. But how is it...

      Hi everyone! It's been a long time since last programming challenge list, and here's a nice one I've encountered.

      If you search for something like 7km to AU, you'll get your answer. But how is it done? I don't think they hardcoded all 23 units of distance and every conversion factor between them.

      If you were programming a conversion system - how would you do it?

      First of all, you have input in format that you can specify, for example something like this:

      meter kilometer 1000
mile kilometer 1.609344
second minute 60
...

      Then you should be able answer queries. For example 7 mile meter should convert 7 miles to meters, which is 11265.41.

      Can you design an algorithm that will convert any unit into any other unit?

      Edit: Some conversion rates I extracted from wikipedia:

      ångström
0.1nm
astronomical unit
149597870700m
attometre
0.000000000000000001m
barleycorn
8.4m
bohr
0.00846
cable length (imperial)
185.3184m
cable length
185.2m
cable length (US)
219.456m
chain (Gunters)
20.11684m
cubit
0.5m
ell
1.143m
fathom
1.8288m
femtometre
0.00000000000001m
fermi
0.00000000000001m
finger
0.022225m
finger (cloth)
0.1143m
foot (Benoit)
0.304799735m
foot (Cape) (H)
0.314858m
foot (Clarke's) (H)
0.3047972654m
foot (Indian) (H)
0.304799514m
foot,metric
0.31622776602m
foot,metric (long)
0.3m
foot,metric (short)
0.30m
foot (International)
0.3048m
foot (Sear's) (H)
0.30479947m
foot (US Survey)
0.304800610
french
0.0003m
furlong
201.168m
hand
0.1016m
inch
0.0254m
league
4828m
light-day
25902068371200m
light-hour
107925284880m
light-minute
17987547480
light-second
299792458m
light-year
31557600light-second
line
0.002116m
link (Gunter's)
0.2011684m
link (Ramsden's; Engineer's)
0.3048m
metre
1m
m
1metre
km
1000m
mickey
0.000127
micrometre
0.000001
mil; thou
0.0000254
mil
10km
mile (geographical)
6082foot (International)
quarter
0.2286m
rod
5.0292m
rope
6.096m
shaku
0.303 0303m
span (H)
0.2286m
stick (H)
0.0508m
toise
1.949 0363m
twip
1.76310
yard
0.9144m
      17 votes

    45. Dan Tepfer (Human - Computer Duet) - NPR Music Tiny Desk Concert

      ~music Text 371 words
      Video Link I decided to post this as a text topic since IMO the video description is really important to understanding this performance: Aug. 29, 2019 | Colin Marshall -- Dan Tepfer has...

      Video Link

      I decided to post this as a text topic since IMO the video description is really important to understanding this performance:

      Aug. 29, 2019 | Colin Marshall -- Dan Tepfer has transformed the acoustic piano entirely with his new project, Natural Machines. Watch the keys and you'll see this Disklavier — a player piano — plucking notes on its own. But it's not a prerecorded script.

      Here's how it works: Tepfer plays a note, and a computer program he authored reads those notes and tells the piano what to play in response. Tepfer can load different algorithms into the program that determine the pattern of playback, like one that returns the same note, only an octave higher. Another will play the inverted note based on the center of the piano keys. These rules create interesting restrictions that Tepfer says make room for thoughtful improvisation. In his words, he's not writing these songs, so much as writing the way they work. To better communicate what's happening between him and the piano, Tepfer converted these audio-impulse data into visualizations on the screen behind him, displaying in real time the notes he plays followed by the piano's feedback. We dive even deeper into this project in a recent Jazz Night in America video piece.

      Perhaps the trickiest part here, unlike a human-to-human duo, is that the computer plays along with 100 percent accuracy based solely on Tepfer's moves. He compares it to dancing with a robot that never misses a beat. Tepfer has to play in kind to keep the train on the tracks, but if he falls out of step, so does the computer. On the other hand, Tepfer has unlocked a new frontier of music available to acoustic piano players: He's essentially given himself more limbs to play the piano at once, and at times we see more than 10 keys pressed at a time or a sequence of notes played at seemingly superhuman speeds. It's a central idea to what innovative technology enables for us — that which is impossible for us to achieve on our own.

      edit: Nice related video from Jazz Night in America with Dan explaining some of how it works:
      https://www.youtube.com/watch?v=0L6tzG3FkcU

      7 votes