Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
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 considerable interest among researchers. The debate around the use of machine ...
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 ...
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks ...
Trend-following funds, which use quantitative models and algorithms to trade market moves, have traversed the recent wild swings in gold and silver.
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