Thanks to an update of the underlying libraries the next release of #Hieroglyphic will automatically use hardware acceleration (i.e. NPU) when available, improving efficiency.

#GNOME #GNOMEApps #GNOMECircle #libadwaita

I've just released a new version of #Hieroglyphic. Thanks to @bragefuglseth's design, the application is now responsive and can be used on mobile devices. This release also includes blackboard bold characters, as well as the usual improvements to the classification model. It also switches the runtime to the industry-standard ONNX runtime, which provides some minor speed enhancements and the possibility of (non-cpu) hardware acceleration in the future.

#GNOME #GNOMECircle

I think I may have finally figured out how to type Middle Egyptian in Unicode:

𓄤𓊵𓏏𓊪𓋴 (nfr-Htp-s AKA Neferhetepes)

Unfortunately, the formatting (sign arrangement) does not render correctly in normal software when pasted (as above). In this example the t and p uniliteral signs should be under the Htp sign as in the picture.

Still not quite there, yet, so still have to use images for proper display. 😞

#middleegyptian #hieroglyphs #hieroglyphic #ancientegyptian

#TopicOfTheDay: The #Rosetta #Stone is a stele composed of granodiorite inscribed with three versions of a decree issued in Memphis, Egypt.

The decree has only minor differences between the three versions, making the Rosetta Stone key to deciphering the Egyptian #Hieroglyphic scripts.

https://knowledgezone.co.in/kbits/63513bd5b46cfdc1c9efb921

A new #Hieroglyphic update has been released, bringing a number of improvements:
- Improved classifier, which now includes the nearly 500 user-contributed symbols, thanks to everyone who helped.
- The backend infrastructure has been updated to make it easier for future improvements to the classifier.
- The drawing area has been rewritten to use GTK4's rendering capabilities instead of Cairo.

#GNOME #GOMEApps #TeXLaTeX

I just released a new version of #Hieroglyphic, this version replaces the classification algorithm with a machine learning model trained on the data previously used to classify symbols, improving classification speed and overall accuracy (although some symbols are now classified less accurately due to lack of good training data).
To improve the training data, it is now also possible to submit recognized symbols (this is opt-in).

#GNOME #GNOMECircle #TeXLaTeX

Pen Broadcast!

Commisioned by @FineFindus for #Hieroglyphic

#GNOME #AppIllustrations #Inkscape