We examine how machine learning can be used to improve and understand human decision-making. In particular, we focus on a decision that has important policy consequences. Millions of times each year, ...
For algorithm execution, Docker or Singularity containers are available. See the docker/ directory for container definitions. Contributions are welcome! Please feel free to submit a Pull Request. For ...
On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...
Abstract: Genetic algorithms (GAs) have been used to evolve optimal/sub-optimal solutions of many problems. When using GAs for evolving solutions, often fitness evaluation is the most computationally ...
Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...
5 Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, Bonn, Germany 6 Institute of Experimental and Clinical Pharmacology and Toxicology, ...
Abstract: This article presents a novel knowledge-based genetic algorithm (GA) to generate a collision-free path in complex environments. The proposed algorithm infuses specific domain knowledge into ...
“It’s an uncomfortable truth: more and more, we’re marketing to algorithms”, says Wesley ter Haar, co-founder and chief AI officer at Monks, explaining how those algorithms ultimately determine which ...
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