Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

The headline statistic is sobering: studies and industry analyses commonly report that roughly 60–70% of large-scale digital ...

Scientists at the German Cancer Research Center (DKFZ), Heidelberg University Hospital (UKHD), and Mannheim University ...

Physical artificial intelligence (PAI) refers to AI systems that can perceive, understand, reason about, and interact with ...

Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

The EU project ENDOTARGET aims to improve the quality of life of people with rheumatic diseases. As part of a population cohort analysis, preliminary analyses provided initial insights into the ...

The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...

< The homepage of the IWES Digital Hub. Copyright: ©Fraunhofer IWES, officesituation generated by Firefly 2026 ...