Robotics

Machine learning

Breakthrough in Artificial Intelligence: Physarum-Energy Optimization Algorithm Yields High-Quality Results

Research conducted at Burdur Mehmet Akif Ersoy University has resulted in a significant breakthrough in the field of artificial intelligence. The study focused on the traveling salesman problem, a notoriously difficult issue in combinatorial optimization, and proposed a new approach using the physarum-energy optimization algorithm (PEO). This population-based optimization algorithm

Machine learning

Artificial Neural Networks: A Comparative Study of Model-Space Extrapolation Methods

Researchers at the Technical University Darmstadt (TU Darmstadt) have conducted a study comparing model-space extrapolation methods for No-Core Shell Model calculations of ground-state energies and root-mean-square radii in lithium isotopes. The research aims to benchmark the latest machine-learning tools against conventional methods, providing insights into the reliability and accuracy of

Artificial intelligence

Artificial Intelligence Accelerates Development of Next-Generation Battery Materials

Researchers from Florida State University have utilized artificial intelligence and automation to accelerate the discovery and optimization of battery materials, potentially revolutionizing the field of energy infrastructure. By harnessing the power of high-throughput computation, machine learning, and advanced automation, scientists have been able to rapidly develop next-generation battery materials that

Artificial intelligence

Artificial Intelligence Accelerates Discovery of Next-Generation Heat Transfer Fluids

Researchers at the Rzeszow University of Technology have made significant breakthroughs in the field of Artificial Intelligence, utilizing it to accelerate the discovery and implementation of next-generation heat transfer fluids. The study focused on graphene flake-ethylene glycol (GF-EG) nanofluids, investigating their density and surface tension properties. Funded by the National