Researchers at Princeton University have built a swarm of interconnected mini-robots that “bloom” like flowers in response to ...

Abstract: In dynamic environments, optimization algorithms tend to track the changing optima. However, frequent changes to decision solutions often cause high switching costs and system instability.

The final, formatted version of the article will be published soon. This paper presents a modified version of Particle Swarm Optimization (PSO) using all-optical computational update mechanism. The ...

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling ...

What if the future of robotics wasn’t a single machine but an intelligent swarm, moving as one, adapting to its environment, and executing tasks with precision? Imagine a fleet of drones navigating a ...

Daniel Owen, 47, and his son, Cooper, 15, died after being stung dozens of times last month by what appeared to be so-called murder hornets. By Damien Cave and Sui-Lee Wee Damien Cave reported from Ho ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks efficiently. #RMSProp #Optimization #DeepLearning Zelensky makes major concession to ...

An international collaboration has developed a new diagnostic technique for measuring ultra-short particle beams at STFC's Central Laser Facility. This collaboration is led by the University of ...

On a recent transatlantic flight, Mark Ruddock, an entrepreneur in residence at GALLOS Technologies, decided to put his team of AI agents to work. He was 34,000 feet over the Atlantic with a ...

Background: Accurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking. Objective: This study proposes a ...