Recent submissions

Comment · 20 days ago
Good catch, link updated!
Comment · 20 days ago
Dan Smalley's research lab at BYU is actively developing 3D volumetric holography technology.

https://youtu.be/N12i_FaHvOU

The video is a bit old, but it has a few fun demos of the capabilities they've developed.

Comment · 29 days ago
This. Lean does not remove human responsibility, but it does assist in reducing the surface that the human needs to inspect and verify.

Now, there is also debate about what is lost when humans don't understand the proof body itself. It's a fair concern, and one we'll probably be wrestling with for some years.

Comment · 3 months ago
> and/or have infants ricocheting around your home like screaming DVD logos

Slightly off topic, but as a parent I found this hilarious and will now be closely watching to see if any of my own screaming logos ever perfectly hit the corner of a room.

Comment · 5 months ago
I've said this before, but it's interesting to see momentum go back and forth between the flexibility and ease of everyday language, and the formal rigor of programming languages.

It feels like we are still discovering the optimal operating range on a spectrum between these two domains. Perhaps the optimal range will depend on the specific field in question.

Comment · 7 months ago
Comment · 9 months ago
The author of the Airfoil article has made several similar tutorials on various topics:

https://ciechanow.ski/archives/

For machine learning, Distill.pub has some excellent hands-on tutorials. For example, here's one on momentum:

https://distill.pub/2017/momentum/

Comment · 10 months ago
Comment · 10 months ago
Matlab is an great tool, if you can afford it.

It was a very unpleasant feeling when I graduated from my PhD and realized that most, if not all, of the Matlab scripts I had used for my research would now be useless to me unless I joined a company or national laboratory that paid for licenses with the specific toolboxes I had used.

I'm glad that a significant portion of tools in my current field are in open source languages such as Python and Julia. It widens access to other researchers who can then build upon it.

(And yes, I'm aware of Octave. It does not have the capabilities of Matlab in the areas that I worked in, and was not able to run all of my PhD scripts. I have not tried RunMat yet, but am looking forward to experimenting with it.)

Comment · 11 months ago

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