Lite.IM Beta to be Released

Lite.IM will allow users to interact with Litecoin blockchain using text commands through a special API-system
09 August 2018   173

Developers of the Zulu Republic blockchain project presented Lite.IM software that allows users to make transactions in the Litecoin network using SMS messages and the Telegram messenger.

Zulu Republic is convinced that Telegram is the safest messenger and provides all the necessary opportunities for testing the concept before launching SMS payments.

Representatives of the project emphasize that a lot of people live in countries with limited access to the Internet, under conditions of strict censorship by political regimes, without access to financial services. In addition, 64% of the world's population owns mobile phones, but only 33% have smartphones. This is the reason why Zulu Republic is convinced of the need to link SMS messages and Litecoin blockchain, not relying on the availability of the Internet.

By opening the world of cryptocurrency to these underserved and vulnerable populations, we aim to provide a degree of financial agency, autonomy, and (perhaps most importantly) security that they’ve been denied up until now.

Zulu Republic

Lite.IM will allow users to interact with Litecoin blockchain using text commands through a special API-system. At the moment the community already has the opportunity to use Telegram-bot to check balances and send Litecoin to LTC-addresses or e-mail. The solution is written on JavaScript. More info is available at GitHub.

The creator of "digital silver" Charlie Lee is convinced that the bear market allows us to focus on developing solutions for mass adoption of technology. 

Pix2pix Neural Network to Work in Real Time

Pix2pix is neural network that creates photos based on the user's sketch
16 August 2018   92

Developer Zaid Alyafeai of the University of Oil and Fossils named by King Fahd created a browser version of the pix2pix system - it turns the user's sketches into photographs in real time. While the service can only redraw the cats, the facades of buildings and shoes. 

The TensorFlow.js library loads a neural network model on the user's computer - this allows to conduct calculations on the user's device. While drawing shoes or cats, the user draws a detail of the image, and the system turns it into a "photo" in real time.


When drawing the houses, the algorithm splits the image into areas with objects of different types. For example, a roof or window will have different colors.


Specialists from the University of California at Berkeley introduced the pix2pix algorithm based on a generative-competitive network in 2016. Initially, the authors created a system that needed to be deployed on a computer. Third-party specialists could transfer it to the browser, but the algorithm took as input only a complete sketch and worked on the server, so the service was shut down. The source code is available at GitHub.