The Bavarian State Ministry for Education and Cultural Affairs is launching the "AI@school" pilot project. Over the next five years, 15 schools are to experiment specifically with artificial intelligence in education. Andrei Karpathy, AI expert and longtime AI chief at Tesla, refers to artificial intelligence as "Software 2.0." A new generation of computer technology massively expands the capabilities of computers and thus the technological possibilities of humans. "Software (1.0) is eating the world, and now AI (Software 2.0) is eating software," Karpathy wrote in 2017.

Over 100 Guyanese students will benefit from the Spark Programme – an artificial intelligence and leadership initiative – aimed at equipping them to grow their technological skills and create economic opportunities. The programme is in collaboration with two overseas-based Guyanese, Professor and Scientist at the University of Michigan, Jason Mars and Denise Hilliman, a former science educator and the Chief Executive Officer of Lead Mindset – leadership curriculum. The programme is being facilitated by the Ministry of Education. Mars and Hilliman will be sharing their knowledge of artificial intelligence, technology and leadership with students here. "We have come together to do something for our people and to bring the successes we have in the diaspora and come back home to spark the pathway to ignite innovation and perhaps a transformation in technology and economic prosperity by working on what is on the minds of our young people," Mars said at the launch of the programme at the National Centre for Educational Resource Development (NCERD), Kingston, Georgetown.

While it is relatively easy to turn a photo into a Picasso-style image using a computer, it is not yet possible to produce a text in a specific individual style, such as that of an author like Franz Kafka. The problem with texts is that the style and the subject matter are not necessarily cognate. A new research project headed up by Dr. Sophie Burkhardt of the Institute of Computer Science at Johannes Gutenberg University Mainz (JGU) will be looking into exactly this problem. For this, the project "Semantic Disentanglement: Differentiation of Style and Topic in Text Data" will be receiving some EUR 2 million from the German Federal Ministry of Education and Research (BMBF). The researchers intend to develop models and software with the aim of improving the automatic analysis and generation of good quality texts.