quinlan

But if you read the interview with Sean Quinlan [2] you can get a sense that 60TB is quite small.

A consultancy called Quinlan did that and came up with about $1,800 as a value for bitcoin based on the current usage.

Ross Quinlan and others on machine learning, which at the time (late 8'0s and early 90's) meant primarily symbolic approaches, like decision tree learners.

I did a quick search, and that sounds like either Fred Turner [1], Michael Quinlan [2], or Charlie Bell [3].

Can you tell that I was just reading about the Karen Ann Quinlan case?

Clukay CJ, Dajani R, Hadfield K, Quinlan J, Panter-Brick C, Mulligan CJ.

There is information about Colossus: the original GFS paper, an interview with Sean Quinlan with McKusick on Colossus improvements, as well as a talk by Denis Serenyi on more of the gory details, e.g.

I found the Karen Ann Quinlan case (I suppose I was too young to remember when it hit the news before Terri Schiavo) and I found Karen's parents' attitude and comments to be quite poignant.

I had an ultimately unrewarding conversation with Sean Quinlan (of Google GFS fame) about the futility of putting a lot of storage behind such a small channel (in Google's case the numbers were epicly Google of course but the argument was the same).

Fortunately, back in 1991, Quinlan & Tremaine showed that there exist so-called "shadow orbits" that track the orbit numerically computed by your computer.

To me it always seemed that the concept emerged from the work on Semantic Networks [0] by Collins and Quinlan.

Where do former Bell labs people like Yossi Matias, Sean Quinlan, Sean Dorward, Rob Pike or Ken Thompson work now?

Ross Quinlan, and similar algorithms, that were wildly popular even well after the ImageNet moment of deep neural nets come from that era.