Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

In a dizzying age of machine learning triumph, where systems can generate human-like prose, diagnose medical conditions, and synthesize novel proteins, the AI research community is facing an ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

Overview: Artificial Intelligence is revolutionizing modern education by making learning smarter, more personalized, and ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.

Has sports betting changed? Absolutely! Statistics and numerical analysis have completely re-shaped how betting works. In the ...

The five-year, $584,034 project — “CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision” — aims to bring greater transparency and accountability to AI-powered ...