Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data. This includes text from books and websites, images from public databases, ...

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

However, it is worth remembering that in machine learning, we often have to deal with data taken from the real world. And real world data contains errors.Errors come in various flavours, including: (i ...

In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

The analysis of unstructured text; The differences between supervised and unsupervised machine learning; Generative AI; What it is and why it is important to insights and data analysis professionals.

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

New research shows models can be directly edited to hide selected voices, even when users specifically ask for them.

Australia-based Tyton Ecological Intelligence (Tyton EI) has launched the world’s first Machine Learning as a Service (MLaaS) ...

Machine learning is helping create stronger, more efficient encryption methods. By analyzing huge amounts of data, ML can design encryption algorithms that are tougher to crack.