Articles tagged with Heuristic Methodologies
Researchers create a new method that combines quantum and classical computing to solve optimization problems more efficiently, potentially achieving higher accuracy and quantum advantage. The QIAPO project aims to improve the performance of industrial processes and distribution by finding more efficient solutions.
A new study suggests that adopting AI in high-stakes settings like hospitals and airplanes requires evaluating algorithms and human decision-making simultaneously. The study found that accurate AI predictions improved participant performance by 50-60%, but inaccurate predictions led to a 100% degradation in proper decision making.
A team of researchers has developed a proposal for an urban goods distribution network in Barcelona, focusing on micro-hubs at existing public transport stations. The algorithm optimizes delivery routes using cargo bikes and electric vans to reduce greenhouse gas emissions and improve air quality.
A review published in Intelligent Computing outlines the strengths of automatic approaches to designing metaheuristics, which can lead to more successful outcomes and reduce redundant, metaphor-based algorithms. The authors encourage research that relies on automatic design, utilizing modular software frameworks and configuration tools.
Researchers develop novel feature extraction methods for multigraphs to predict shortest path costs, improving airport operations and sustainability. The proposed statistics-based and learning-based approaches show promising results, outperforming traditional exact search algorithms in computational efficiency.
Anastasios Kyrillidis has won a National Science Foundation CAREER Award to explore the theory and design of non-convex optimization algorithms. His research aims to devise algorithmic foundations and theory that will accelerate problem-solving in machine learning, information processing, and optimization.
A new study improves AI diagnoses by penalizing algorithms for false negatives, which can be more urgent than accuracy. Researchers achieved significant improvements in precision and recall for chronic kidney disease and other conditions using cost sensitivity techniques.
A new AI-powered algorithm, GEM, has been developed to quickly identify genetic causes of serious disease in newborns. The technology leverages machine learning and natural language processing to analyze vast amounts of genomic data and clinical records, achieving an accuracy rate of 92% compared to existing tools.
To keep up with the potential half-billion users, MySpace is working with a University of Southern California specialist to improve server performance. Researchers are exploring a new heuristic algorithm to maintain and replace data in DRAM, aiming to increase capacity and speed.