liquidmetal

How do your benchmarks compare against CoreML?

In my experience there are many lesser significant hyperparameters that can impact performance when going from the released code to your personal favorite framework.

Nothing you can't figure out by reading source code of the two frameworks or by reading the documentation closely.

Generally, people don't seem to care about reproducing exact metrics - as long as it is close enough they're happy. You need to dig a bit deeper if you want the full quality.

Permanent residents are also subject to the expatriation tax AFAIK.

Chicago Tribune doesn't show the website in India?

Something similar we did for an internal Microsoft hackathon in 2017. https://utkarshsinha.com/blog/microsoft-oneweek-hackathon-20...

+1

There can be hidden variables that the PID system failed to account for. Workload distribution over time, temperature at the time of day, heat leaking into the datacenter, etc. I'm not sure if a PID based controller would account for such things.

What remains to be seen, however, is whether these manipulations keep the machines working at similar efficiencies and if they fail at similar rates as before turning on the control system.

Tangent here - self-awareness is an evolutionary cul-de-sec? Do you have any further reading suggestions on this?

And then submit a paper to the same conference from where we collected the papers.

The fact that this file format doesn't enclose the AdobeRGB vs sRGB information is a deal breaker.

A lot of computer vision research datasets uses a similar file format - so I can see its use there. But things like movie creation, publishing, etc will probably never adopt this.

Great suggestions here. Have you looked at this repository: https://github.com/prakhar1989/awesome-courses

It's a collection of some of the best courses on the internet. The topics covered is quite diverse - but mostly related to computer science.

I use hugo on my personal blog at the moment. http://utkarshsinha.com/

A few things I've found interesting are:

- Getting the layout just right takes a bit of tinkering (I mean the layout, theme and include file locations - not the CSS).

- The `hugo` executable is just perfect. hugo server --watch is all you need (plus it's super fast!)

- Also, I'm not a Ruby person. I don't need a whole Ruby ecosystem working on my machine just to parse some markdown.

They probably already have you fingerprints.

Not again.

No machine learning? Really?

It seems like for every problem out there - at least some tiny bit can be solved by machine learning.

General pattern recognition (identifying peaks, predicting disk outages, etc) at the minimum seems like a requirement that will show up in the next few years.

On an unrelated note, that website looks so 2011!

Seems like a good idea. I would have liked this better if it covered harder theory. Khan Academy's linear algebra section is pretty good. I find it very long, though. Text + graphics wouldn't have that limitation.

My suggestion would be - take mathematics required by game development and explain how that works - collisions, intersections, visibility, rotations. All the juice is right there!

John Carmack. He's consistently at the edge of technology - whether it is game engines or avionics. His insights are excellent and can often be used in other areas of engineering / software development.

I used to write for http://aishack.in/ - it's in C/C++ and covers most basic topics in computer vision.

I've been using the Google DNS server for a while now - so Github worked just fine for me. However, gists went down for a couple of days.

Gists, pastebin and imgur are still down for me every once in a while. Refreshing it ~4-5 times seems to make it work. This seems to suggest there's something more than just DNS at play here.

I'm experimenting with AndroidStudio and getting the NDK to work. Once I have this figured out, fun times lie ahead!

How do I add a new control point? Are you using opengl for the filters?