While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...