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 ...
In mid-2023, around the time Elon Musk rebranded Twitter as X but before he discontinued free academic access to the platform’s data, my colleagues and I looked for signs of social bot accounts ...
This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...
Most galaxies in the universe have a supermassive black hole (SMBH,) at their centre. If matter is actively accretted onto it, the galaxies are classified as `active' and they are dubbed as Active ...
There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...
Big Tech’s race to leapfrog the latest AI models continues with the launch of ByteDance’s next-gen video generator. In a blog ...
The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...
A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life ...
The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...
Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...
Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & ...
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