From ChatGPT crafting emails, to AI systems recommending TV shows and even helping diagnose disease, the presence of machine intelligence in everyday life is no longer science fiction.

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, ...

While artificial intelligence (AI)-powered screening has been validated for diabetic retinopathy, applying the technology to glaucoma has proved more challenging because glaucoma is not one disease. A ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

Accuracy and speedup achieved with the Weighted Active Space Protocol (WASP) for methane activation on titanium carbide. (Figure courtesy of Seal et al.) Catalysts play an indispensable role in modern ...