Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
Do renewables always make power cheaper? In the UK, it depends on how much is on the system. Using causal machine learning on ...
A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.
Machine learning algorithms are occupying a larger space in medical and urology applications. However, typical medical physicians are not trained on these technologies and do not master the ...
Abstract: The main aim of this study is to determine the effectiveness of a penetration testing tool, GyoiThon as a Machine Learning tool by conducting penetration tests on websites, including the ...
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, Vol. 379, No. 2208, Progress in mesoscale methods for fluid dynamics simulation (18 October 2021), pp. 1-12 (12 pages) We ...
Quantum machine learning (QML), an emerging discipline with applications in various domains, has the potential to dramatically improve deep learning while reducing model complexity. Quantum computers ...
Crop improvement and production domains encounter large amounts of expanding data with multi-layer complexity that forces researchers to use machine-learning approaches to establish predictive and ...
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