ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
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 ...
In the context of using DNSGA2 to solve dynamic multi-objective optimization problems (DMOPs), a critical issue arises regarding the timing of the callback function execution and its impact on ...
Abstract: Nonconvexity is a usually overlooked factor in economic dispatch (ED). Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall ...
ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
This is Part 3 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. There it was on James Cannon’s lab report, two tiny ...
Abstract: This paper introduces a model, M0RV, that improves the MuZero algorithm through data reuse and loss function optimization. It proposes reusing training trajectories generated by Monte Carlo ...
Tensor contradictions are used to solve problems related to different research fields, including model counting, quantum circuits, graph problems, and machine learning. But to minimize the ...
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