New research published in Machine Learning shows pattern learning is not enough to train AI to tackle games—and abstract representations or hybrid approaches may help. Many AI researchers describe ...

An AI-driven automation solution developed by FPT Corporation has been granted a machine learning patent in Taiwan, marking ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

As artificial intelligence rapidly reshapes how organisations build products, manage risk, serve customers and run operations, the need for professionals who can design, deploy and govern intelligent ...

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

During AY2025-2026 the CUNY Office of Research funded 16 Research in the Classroom (RIC) grants for faculty to incorporate authentic research activities into their undergraduate courses. This ...

The field of immunology has long recognized immune system dysregulation as a cornerstone of pathogenesis across a range of human diseases, including ...

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

U.S. collaboration with the participation of the European Neuroscience Institute Göttingen (ENI-G), researchers have shown that fruit flies can adapt their social behavior and learn from these ...

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...

Using rich Swedish administrative data, we apply causal machine learning methods to study how earnings losses after job displacement vary with observable characteristics that may be relevant for ...