Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Leaders often struggle to assess whether their employees are using AI successfully. Often, they default to measuring what’s easily observable: how much they’re using AI tools. To get a clearer picture ...

The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These "hallucinations" are problematic not only because ...

Anchored by DTU's Centre for Technology Enhanced Learning (CTEL), the six-month programme extends DTU's academic strengths into a technology-enabled format that supports rigorous learning at scale.

Abstract: AI-driven clustering methods have significantly enhanced the capacity of researchers to explore the heterogeneity inherent in single-cell omics data, which is a crucial aspect of ...

For decades, scientists have believed that complex life began when two very different microbes joined forces, eventually giving rise to plants, animals, and fungi. But one major puzzle remained: how ...

Abstract: The exponential increase in textual data poses significant challenges for efficient management and analysis due to high storage and processing demands. Data Science techniques provide ...

Most of the world's information is stored digitally right now. Every year, we generate more data than we did the year before. Now, with AI in the picture, a technology that relies on a whole lot of ...