Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Spectral imaging is a vital tool for analyzing materials, monitoring crops, and tracking pollutants. But conventional systems face a major challenge as they ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprises are still ...

Both the UK and US Governments have pledged to end research using animals, but is such a goal realistic? And how might it change medical research? Talha Burki reports.

Last year, the Wall Street Journal won a Pulitzer for an investigation that used artificial intelligence. To map out the ...

Are Organizations Equipped to Handle Agentic AI Security? Where artificial intelligence and machine learning have become integral parts of various industries, securing these advanced technologies is ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

Will artificial intelligence ever be able to reason, learn, and solve problems at levels comparable to humans? Experts at the ...

AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...