Grandes pasos

This was my research proposal at the BayLearn's Machine Learning. I was one of a few non-engineers, who presented.

For my presentation, I did a demo video. In brief, I make the argument that as a beginner on the drums, I can supertask and split my work without any major bottlenecks due to limb dissociation. By contrast, the iPhones are incredibly effective. But its architecture is top-down with rigid parrelization, and it needs a lot of power to prevent crashes.

In the video, from 0:00 to 0:26, I play fast, complex polyrhythms. From 0:27 to 1:36, I slow down, play, and talk about my research abstract simultaneously. From 0:27 to 1:36, I switch hands while playing and talking.

Obviously, the demo is not about perfect performance.

It's more about human cognitive ability, and how even a jazz drummer novice could engage in complex polyrhythms, and even talk while playing at the same time.

In regards to iphone's clock cycle, tasks are sliced up and scheduled centrally, which demands high power consumption and continuous energy to maintain synchronization; whereas, jazz drummers' hand and foot operate with a degree of motor autonomy. Thus, I make the case that the iPhone's camera and its audio sensors should have their own tiny little brains (i.e. small AI models).

(In the video, I'm using backsticking where I utilize the bud end of the stick).

This guy is the undisputed King of Jazz!

I will die on that hill.

Discus

Do you choose G sus or A minor as your savior?

The jass is back

Sarah Vaughan and Charlie Kirk jerking it live at the Ravioli

How the turns have tabled.