A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
The statistics cited by the authors point to exponential growth in the deployment of thermal energy as a sustainable and renewable source. They reveal that global consumption surged from approximately ...
Abstract: The prediction of loan defaults is crucial for banks and financial institutions due to its impact on earnings, and it also plays a significant role in shaping credit scores. This task is a ...
Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
Dung Thuy Nguyen (Vanderbilt University), Ngoc N. Tran (Vanderbilt University), Taylor T. Johnson (Vanderbilt University), Kevin Leach (Vanderbilt University) PAPER PBP: Post-Training Backdoor ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Satellite-based hydrology, particularly leveraging the GRACE and GRACE-FO missions, has revolutionized our understanding of ...
Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
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