Abstract: Computational experiments method is an essential tool for analyzing, designing, managing, and integrating complex systems. However, a significant challenge arises in constructing agents with ...
Affiliate Ram Shankar Siva Kumar and coauthors "present a practical scanner for identifying sleeper agent-style backdoors in ...
Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
Advanced economic modeling for antitrust and IP damages to strengthen outcomes in pharma, life sciences, and healthcare disputes.
A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...
Comparison of raw correlations (dashed) and causal effects (solid) of wind on UK day-ahead prices. Lines show the price change (GBP/MWh) from +1 GWh of predicted wind for the delivery hour across ...
Advisor: Kelilah L. Wolkowicz, Ph.D., Assistant Professor, Department of Mechanical & Industrial Engineering, UMass Lowell Co-Advisor: Mohammad Arif Ul Alam, Ph.D ...
Abstract: Traditional machine-learning approaches face limitations when confronted with insufficient data. Transfer learning addresses this by leveraging knowledge from closely related domains. The ...
The manufacturing landscape is evolving rapidly, with intelligent systems increasingly promising to boost efficiency, quality, and overall competitiveness. Traditional machine learning (ML) has ...
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