AI-driven applications in customer analytics, computer vision and predictive maintenance require large labeled datasets. Synthetic data can deliver datasets large enough to be useful. Note that ...

In an age where data drives decision-making across industries, the ethical implications of advanced analytics are more ...

Traditional data collection models are reaching their limits ... This fragmentation stifles innovation and prevents AI systems from reaching their full potential. At the same time, AI systems ...

On April 8, 2025, the R Street Institute’s Adam Thierer testified before the House Committee on Science, Space, and ...

Technology and peer learning can be used to optimise classroom time and enhance problem-solving skills. Here, Teck Seng Koh ...

CAS, a division of the American Chemical Society specializing in scientific content and knowledge management, and Cleveland Clinic, an academic health system with a global footprint, announced plans ...

For companies willing to embrace privacy-first innovation ... from machine learning models that minimize data collection to tools that enhance interoperability. The industry is evolving to ...

Embracing Natural Language Processing (NLP) to build clinical data collection models in multiple languages ... the integration of innovative data visualisation techniques emerges as a cornerstone.

Quarterly Highlights: In Q3 2024, revenue jumped to €255 million, up by €54 million (or 27%) compared to Q3 2023. The strong performance was particularly notable in the Betting Technology & Solutions ...