David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...

Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Discover how artificial intelligence is enhancing fraud detection across online platforms, using real-time analytics and ...

Abhirami Harilal, an Indian American applied scientist specializing in machine learning and statistical modeling for ...

For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...