According to the plan unveiled in January by the Centre for Future Generations research institute, a €35 billion initial investment would create an international research centre for European artificial intelligence development. In line with former ECB President Mario Draghi's comprehensive technology report, the proposal suggests establishing an institution
Generative AI relies on a specialised branch of machine learning (ML), namely deep learning (DL) algorithms, which employ neural networks to detect and exploit patterns embedded within data. By processing vast volumes of information, these algorithms are capable of synthesising existing knowledge and applying it creatively. As a result, generative
Generative artificial intelligence (generative AI or GenAI) tools represent an emerging branch of artificial intelligence (AI) algorithms (Tan et al. 2024, 168). In contrast to traditional AI models, which typically categorise data or make predictions based on learned patterns (Turchi et al. 2023, 35), generative AI extends beyond the mere
The AI Builders Summit 2025 event series showcased the latest directions in artificial intelligence development over four weeks, from large language models (LLMs) to AI agents. During the virtual event organized by ODSC between January 15 and February 6, 2025, hundreds of participants tracked the evolution of various AI technologies,
Gartner’s 2024 Technology Hype Cycle—which outlines the dynamics of expectations surrounding technological innovations across five distinct phases—indicates that generative AI has surpassed the peak of inflated expectations. Nevertheless, the associated hype remains persistent (see figure below), and the technology continues to hold the potential to become truly
The concept of generative artificial intelligence (GenAI) has long been employed in academic and technological discourse; however, it only began to garner widespread recognition in the mid-to-late 2010s, a period marked by pivotal breakthroughs in AI development that fundamentally transformed the landscape of its potential applications. Early in the decade,
