mandiantBob

This looks along the same lines as CyberEther, though CyberEther does have alot more features to enable massive compute of raw data and arguably nicer gui.(https://github.com/luigifcruz/CyberEther)

Check out CesiumJS, its used heavily in aerospace applications. Heres their demo page https://sandcastle.cesium.com/

The best articles for this are [1] (google translate it) and [2]. In [1], the author uses .asc files while in [2], .img files are used. You can treat these files as basically the same as .hgt but remember to reproject the data as different DEM sources uses slightly different projections.

[1] https://makina-corpus.com/sig-webmapping/representation-des-... [2] https://github.com/nst-guide/terrain

See also youtube's https://www.youtube.com/robots.txt

Not to be confused with citizenlab.ca, a research lab of University of Toronto that deals with high profile civil right violations using OSINT and tech analysis.

I just downloaded and tested the standalone desktop app. It has a very pretty and responsive interface compared to Kanboard.

I have been self hosting Kanboard on my rpi for my own work, and I think that Kanboard still has many 'poweruser' features that Focalboard is missing.

If there is an easy way for me to migrate my Kanboard data over to Focalboard, I would definitely give it a shot as a daily driver.

This is not correct. The security page only shows that they use Google for Speech to Text.

Instead, Text to Speech is done using technology developed by Lyrebird.ai, which Descript has bought over. Descript rebranded it as Overdub. Note that style transfer learning of voices is a hard problem and Overdub seems to have nailed it perfectly. I speculate that the underlying technology of Overdub is based on sv2tts (https://arxiv.org/abs/1806.04558).

The closest comparision to Overdub would be https://www.resemble.ai/.

The article is easy to follow and is an enjoyable read!