Robotics

Machine learning

Performance Evaluation of Particle Swarm Optimization Variants for Trajectory Tracking of a Cable-driven Continuum Robot

Research conducted by the Department of Mechanical Engineering has evaluated the performance of various Particle Swarm Optimization (PSO) variants for tracking the trajectory of a cable-driven continuum robot. The study used descriptive statistics, parametric, and non-parametric methods to assess the performance of five PSO variants: Standard PSO, Weighted PSO, Quantum

Machine learning

Deep Learning Models for Accurate B-Line Detection and Localization in Lung Ultrasound Imaging

Researchers from Makerere University in Kampala, Uganda, have developed two deep learning models, YOLOv5-PBB and YOLOv8-PBB, for accurate B-line detection and localization in lung ultrasound imaging. These models are designed to address the challenges of interpreting lung ultrasound images, which are often subject to observer variability and require significant expertise.

Artificial intelligence

Advantech Showcases Complete Edge AI Architecture at COMPUTEX 2025

Advantech, a global leader in industrial edge computing, is demonstrating its complete integration capabilities with the high-performance MIC-743 Edge AI platform at COMPUTEX 2025. The platform is designed for intelligent mobility, VLM (Vision Language Model) at the edge, and humanoid robotics, showcasing Advantech's ability to architect a full

Artificial intelligence

Optimizing Autotvm with Parallel Genetic Algorithms Boosts AI Performance

Researchers from Beihang University in Beijing have made significant advancements in the field of machine learning, discovering a new method to optimize auto-tuning for deep neural networks. The team, led by Yuchen Feng, employed a parallel genetic algorithm (PGA) in conjunction with the AutoTVM auto-tuning process to achieve improved performance.

Machine learning

Teaching Artificial Intelligence and Machine Learning in Secondary Education

Researchers at the International Hellenic University have developed an innovative educational approach to introduce students to core AI and ML concepts through a robotics-based lesson. This approach has been found to increase student engagement and enthusiasm, as well as improve conceptual understanding. Key Takeaways: * The study presents a design and

Artificial intelligence

Multimodal Data Fusion for Artificial Intelligence: Unlocking Advanced Traffic Safety Analysis

Researchers at the Queensland University of Technology have developed a new framework, Multimodal Data Fusion (MDF), that fuses tabular data with textual narratives to improve traffic safety analysis. This innovative approach leverages advanced Large Language Models (LLMs) to analyze crash data and provide accurate predictions. The study's findings

Artificial intelligence

Monitoring Pilots' Mental Workload in Real Flight Conditions using Multinomial Logistic Regression with a Ridge Estimator

Researchers at the University of Padova have developed a machine learning technique to monitor pilots' mental workload in real flight conditions. The study used electroencephalogram (EEG) data from 22 pilots to train a multinomial logistic regression model with a ridge estimator. The model achieved a significant mean accuracy of

Artificial intelligence

Banking Industry Faces Significant Challenges in Customer Retention

The banking industry is grappling with high customer churn rates and declining revenue, according to recent research. A study conducted by Victorian Institute of Technology found that customer satisfaction metrics often yield low predictive accuracy, making it challenging for banks to retain customers. Researchers utilized machine learning intelligence to analyze

Artificial intelligence

Breakthrough in Artificial Intelligence: Large Language Models Prove Effectiveness in Complex Problem-Solving

Researchers from the University of Bridgeport have made significant advancements in the field of Artificial Intelligence (AI) with the development of Large Language Models (LLMs). According to a study published in the MDPI AG journal AI, these models have demonstrated the ability to perform complex tasks such as chain-of-thought reasoning

Artificial intelligence

Advancing Context-Aware Recommendation Systems with Large Language Models

Researchers at the University of Technology Sydney have developed a context-aware restaurant recommendation engine that leverages the capabilities of Large Language Models (LLMs) in conjunction with real-time data. This innovative approach aims to enhance the capabilities of existing recommendation systems, providing more relevant and dynamic suggestions to users. The study

Machine learning

Researchers at University of Zurich Explore Artificial Intelligence and Law

Scientists at the University of Zurich have embarked on an innovative study to investigate the capabilities of artificial intelligence (AI) in classifying legal interpretations. Utilizing a unique dataset and Large Language Models (LLMs), the research aims to determine how AI can be employed to identify complex features relevant to the

Machine learning

Newcastle University Researchers Develop AI-Powered Underwater Vehicle for Cetacean Conservation

Researchers from Newcastle University have created an artificial intelligence-powered underwater vehicle designed to monitor marine mammals with minimal intrusion. The system, called SWiMM, uses a Unity simulation model and a Deep Reinforcement Learning backend to navigate and track targets underwater. This innovative approach aims to replace traditional tagging methods, which