In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

To respond meaningfully to this new information landscape, higher education must treat AI literacy not as a technical add-on ...