A new hub at Wolverhampton University has been set up to look at how Virtual Reality (VR) and Artificial Intelligence (AI) can be used to improve research, business and culture.
Anu Sharma on MSN
How I approach coding problems | Step-by-step problem solving tips
Learn a clear, step-by-step approach to solving coding problems—from understanding the prompt and planning an algorithm to ...
Abstract: Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated ...
Abstract: Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). Among them, ...
Scouring remote areas for missing walkers and climbers can take rescuers weeks and sometimes months. AI can do the job in a ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Abstract: In order to evaluate the condition of oil pipeline, the main nondestructive testing method currently used is magnetic flux leakage testing technology. The magnetic flux leakage data of ...
Abstract: This study proposes a low-level radio frequency (LLRF) feedback control algorithm based on reinforcement learning (RL) using the soft actor–critic (SAC) and proximal policy optimization (PPO ...
Abstract: Reptile is an innovative meta-learning approach that improves the process of neural networks training across diverse tasks. Reptile differs from the preference gradient strategies. It ...
Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...
Abstract: This study presents deep learning models' design, implementation, and evaluation to generate personalized learning paths in educational environments. Data was collected from diverse sources, ...
Abstract: Wireless Sensor Networks (WSNs) find extensive applications in environmental monitoring, healthcare, and smart cities. Energy efficiency, however, continues to be a significant challenge ...
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