MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Machine learning to identify the factors that may determine the age of onset of Huntington’s disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
The Manila Times on MSN
Artificial intelligence seen as a force multiplier for research, discovery
ARTIFICIAL intelligence is no longer just a peripheral tool in research. The rapid accumulation, availability and accessibility of data sets has now become a structural layer of the scientific method ...
An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
Discover how governments employ blockchain analytics to monitor and trace cryptocurrency transactions, enhancing transparency ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback