Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...
Abstract: Recently, the nearest Kronecker product (NKP) decomposition-based normalized least mean square (NLMS NKP) algorithm has demonstrated superior convergence performance compared to the ...
Abstract: The dynamic average consensus (DAC) algorithm is to enable a group of networked agents to track the average of their time-varying reference signals. For most existing DAC algorithms, a ...
Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...
ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...
The Army is modernizing its Command and Control (C2) systems through two key initiatives: C2 Fix and Next Generation Command and Control (NGC2). C2 Fix addresses immediate needs for Divisions and ...
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