Smart systems, data analysis and software technology
Word embeddings within machine learning and artificial intelligence models are used to analyse the semantic similarity of words within texts and therefore to gain deeper knowledge during sentient text analysis and classification. Word embeddings represent pre-trained databases of a given vocabulary where each word comes with a unique numeric vector that represents its position within […]
One of the most fascinating topics within recent years is the tremendous speed with which Tesla took over the e-mobility market. Within less than 5 years Tesla became one of the leading car vendors worldwide in terms of newly registered cars. Despite all critical arguments against e-mobility and electric vehicles in general, Tesla’s market cap […]
Artificial-Intelligence and machine-learning models are trained, tested and used with their accuracy in mind and therefore its crucial to closely observe and monitor your AI model during the design phase. TensorFlow offers a convenient way to attach a TensorBoard callback hook to your machine-learning model to receive and visualise the training and test performance of […]
Around a halve year back I stumbled over Kaggle.com, a vital community portal of Artificial Intelligence and machine learning experts. Kaggle not only encourages people around the world to share thoughts and example data sets on popular machine learning tasks, they also host great AI challenges. Since I joined the Kaggle community 6 month ago, […]
This years Ars Electronica Festival theme is the all present topic of Artificial Intelligence. The Ars Electronica Festival 2017 theme “Artificial Intelligence – The Other I.” focuses on the cultural, psychological, philosophical and spiritual aspects of AI. As an media and art festival by definition that often uncovers the philosophical background of popular trends and […]
SLAC and Stanford university recently announced a breakthrough of using neural networks, one of the base algorithms of Artificial Intelligence, to speed up their data analysis effort. The spacetime data SLAC and Standford analysis is crucial for the understanding of the universe. By using neural networks to analyze those complex distortions in spacetime known as […]