Text Tokenization and Embeddings in Deep Learning Why Text Needs to Be Numbered Deep learning models are based on processing numbers Language models are built on mathematics, and math is based on numbers Optimization, learning algorithms, and prob…

Graph embeddings are methods that are used to represent nodes, edges or subgraphs as low-dimensionalvectors. This is very important, considering that vectors can be processed more efficiently tha n arbitraryobjects. The vectors produced by a graph e…

Mental fragmentation: They're designed to capture and fragment our attention with endless scrolling, notifications, and algorithmically-selected content that triggers emotional responses. Dopamine exploitation: Social platforms leverage var…

Using software as a model in teaching requires standards that are equally rigorous as those in the free market. Transparency and independence are important, along with a wide range of features. And since the budget in education is often far too ti…

Software testing… Why do we test the software, can we avoid it? We test the system for two main reasons First to judge about quality and the efficiency of the system and second to track problems and correct them The International Software T…

Digitization is an umbrella term for recent technological and societal developments caused by the dissemination of information and communication technology (ICT) and by the Internet [Leimeister 2015, p. 2; Otto/Österle 2015, p. 3].48 Combined, ICT a…

The Transaction to Digital era is not easy there are difficulties, but the benefits we earn will be a lot. However there are some ethical consideration like privacy ,ownerships and responsibilities of individuals that are going to have in digital wo…

This work was from 2020 but never publish The data layer has a supervisory role in checking the data in each dataset, performing type assertions and value checking. Often we will need to check the validity of data; for example, a patient’s temper…

This Papaer/Work was from 2018 but never publish, A building energy cognitive performance indicator ontology Smart cities have smart buildings. The buildings will be intelligent and autonomous, and they exchange messages with another element of…

Science is the continuous curiosity of the human to understand the world it realises, and often the findings or the knowledge it gains transformed into technology to improve its life. One of the "products" of Science is to help those w…

Creating a common European data space is a challenge that should excite us not only for how we will share files and the changes it will bring but mainly because it is an essential step towards the start of Web 4.0. European citizens will have the a…

The internet has come a long way since its inception in the early 1990s. From the days of dial-up modems and static HTML pages to today's social media networks and online marketplaces, the World Wide Web has undergone a profound transformation i…

As the amount of information on the web continues to grow at an astonishing rate, it has become increasingly challenging to manage and organize it efficiently. In response to this challenge, various techniques have been developed to help organize a…

In the digital era, data is considered the new oil and organizations are constantly collecting and generating vast amounts of data daily. This data can be used to drive insights, improve decision-making, and create new products and services. Howeve…

An open-source implementation is essential for several reasons. First, it allows collaborative software development by a community of developers. This often leads to better quality software, as more people can review the code and make improvements. …

Data mesh is the thrust that puts us on a new track in the way we approach data: How we imagine data, how we capture and share it, and how we create value from it. At scale and in the field of analytics and artificial intelligence. This new traject…