Artificial electric field algorithm (AEFA) inspired by Coulomb's law of electrostatic force is a swarm intelligent optimization algorithm. It utilizes the electrostatic force to enable information transmission and evolution of individuals. The traditional AEFA has achieved some successful applications, but ...
Machine learning & OpenCV Backpropagation Algorithm in Neural Network How to build an Artificial Intelligence Chatbot? Artificial Intelligence Interview QuestionsScope and Future of Artificial Intelligence(AI)By Akash Pushkar | Last updated on February 14, 2025 | 90063 Views Previous...
Practice Coding and Algorithm Development: Sharpen your coding skills by practicing regularly. Focus on algorithms, data structures, and optimization techniques. Projects and coding challenges can enhance your skills. Specialize and Explore AI Domains: Explore specific Artificial Intelligence (AI) domains ...
Yadav A (2019) AEFA: artificial electric field algorithm for global optimization. Swarm Evolut Comput 48:93–108 Article Google Scholar Yampolskiy RV, El-Barkouky A (2011) Wisdom of artificial crowds algorithm for solving NP-hard problems. Int J Bio-inspired Comput 3(6):358–369 Article ...
Robotics is astonishingly hard, even for the technically sophisticated who encounter it for the first time. There’s something about the real physical nature of the world that defies the most sophisticated algorithm. Reality is deeply uncooperative. ...
Imagine a bank denying your loan application based on an algorithm’s secret logic. As AI shapes decisions in healthcare, finance, and even criminal justice, its “black box” nature is no longer acceptable. Would you trust a decision you can’t understand?
There’s something about the real physical nature of the world that defies the most sophisticated algorithm. Reality is deeply uncooperative. Agricultural robotics makes normal robotics look like a walk in the park. With thanks to Josie Hughes, Julia Cai, Fumiya Iida and the many others who ...
the development of intelligent flexible sensing has been remarkably facilitated owing to the rapid advances of brain-inspired AI innovations from both the algorithm (machine learning) and the framework (artificial synapses) level. This review presents the recent progress of the emerging AI-driven, inte...
researchers have developed numerous meta-heuristics each with its unique approach, methodology and strengths. Notable algorithms that have made significant contributions to the engineering field include Genetic Algorithm, Particle Swarm, Firefly Algorithm, Water Cycle, Ant Colony, Levy Flight, Artificial Be...
(ISC)47. The simulation for the in-situ recognition and classification of optical images is conducted as shown in Fig.6b, which describes the structure of a neural network image sensor based on the proposed optoelectronic synapse48. Details of the training algorithm and process of mapping are ...