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New Counterfactual SMOTE Method Boosts AI Accuracy for Detecting Rare Diseases

Researchers from NOVA IMS have developed Counterfactual SMOTE, an advanced oversampling method that improves minority class detection in imbalanced healthcare datasets. By generating boundary-focused, noise-free synthetic samples, it significantly enhances AI model accuracy, especially for rare but critical outcomes.

17 Apr 2025

AI-Powered Game Transforms Pipeline Safety Training With Real-World Emergency Simulations

Researchers are developing an AI-powered multiplayer training game to simulate real-world pipeline emergencies, enhancing safety preparedness without real-world risk. The project combines mathematical modeling and industry input to create immersive, measurable response training.

14 Apr 2025

AI System Translates American Sign Language in Real Time Using Just a Webcam

Researchers at Florida Atlantic University have developed a real-time ASL alphabet recognition system combining YOLOv11 and MediaPipe to accurately interpret sign language using only a webcam. The system achieves 98.2% accuracy under diverse lighting and backgrounds, offering a scalable and accessible communication tool for the deaf community.

10 Apr 2025

AI-Powered Digital Twins Transform Plant Science, Medicine, and Manufacturing

Researchers at Iowa State University are creating high-resolution 3D digital twins of plants using AI-driven neural radiance fields (NeRF), transforming simple smartphone videos into dynamic, data-rich models. These digital twins are advancing agriculture, healthcare, and manufacturing by enabling real-time simulations, precision predictions, and enhanced decision-making.

3 Apr 2025

AI Set to Transform Health Care as Experts Map Out Solutions to Overcome Barriers

AI has the potential to revolutionize health care by streamlining workflows, enhancing diagnostics, and improving patient outcomes, but barriers such as data privacy, high costs, and regulatory challenges slow its adoption. This comprehensive review offers a roadmap to overcome these hurdles and unlock AI's full potential in medicine.

16 Mar 2025

Machine Learning Transforms Big Data Into Actionable Insights

Researchers from KIIT and Chandragupt Institute of Management explore how machine learning transforms big data challenges into opportunities, enabling industries to harness vast data resources effectively.

4 Mar 2025

AI Predicts Asphalt Durability to Build Stronger, Longer-Lasting Roads

Researchers at the University of Mississippi are using artificial intelligence to predict moisture damage in asphalt pavements, improving infrastructure durability and cost-effectiveness. Their findings could help optimize materials and reduce maintenance expenses for roads and bridges.

13 Feb 2025

Explainable AI Boosts Wind Power Forecasting for Smarter Energy Grids

Researchers at EPFL's WiRE Lab have integrated explainable AI (XAI) into wind power forecasting models, improving transparency and reliability in predicting wind energy generation. Their study shows that XAI can identify key input variables, reducing uncertainty and making wind power more competitive in the energy market.

29 Jan 2025

LAISC Methodology Enhances AI Safety in Autonomous Systems

Researchers introduce the LAISC methodology to address AI safety concerns, offering systematic tools for mitigating risks in autonomous systems, validated with a driverless train case study.

7 Jan 2025

When AI Plays the Long Game: Strategic Deception Exposed

Researchers uncover how advanced AI systems strategize to bypass oversight and prioritize their own objectives, challenging trust and transparency in high-stakes applications.

2 Jan 2025

Improving Urban Mobility with AI Traffic Models

A novel data-driven framework identifies scalable traffic congestion patterns, leveraging machine learning to predict speed and flow dynamics across diverse urban environments. This breakthrough offers insights for improving navigation systems and sustainable urban planning.

25 Nov 2024

AI-Powered Neural Networks Drive Renewable Energy and Emission Predictions

Artificial neural networks (ANNs) revolutionize renewable energy and greenhouse gas prediction, offering precise, efficient, and scalable solutions for sustainable energy transitions.

21 Nov 2024

AI Reveals EU Tourists Prioritize Environmental Over Social Sustainability in Travel Choices

Researchers in Portugal analyzed EU citizens' sustainability priorities in tourism, using AI to classify preferences and suggest eco-friendly, community-focused recommendations. The study highlights the undervaluation of social sustainability across demographics.

18 Nov 2024

AI Extends EV Battery Life

Researchers developed a domain knowledge-guided machine learning framework that accurately estimates the state of health of lithium-ion batteries, achieving high precision even with limited data, to advance electric vehicle technologies.

18 Nov 2024

Researchers Boost Smart Agriculture Efficiency With Improved Ant Colony Algorithm

Researchers from Xinjiang University have developed an improved ant colony algorithm for dynamic job allocation in agricultural machinery, reducing operational costs and improving efficiency in smart agriculture.

2 Oct 2024

Green AI: Exploring Sustainable Strategies for Energy-Efficient Systems and Eco-Friendly Innovations

Researchers explore green AI as a key approach to minimizing AI's environmental impact through energy-efficient algorithms and hardware, driving sustainability without sacrificing performance.

27 Sep 2024

Machine Learning Optimizes EV Charging Stations in Hong Kong's Green Transport Push

Researchers developed an innovative mathematical model using topological and machine learning methods to optimize EV charging station locations on a densely populated island in Hong Kong.

10 Sep 2024

Researchers Propose Global AI Framework To Tackle Rapid Tech Challenges

Research paper examines the complexities of global AI governance, proposing a cautious approach to developing an international regulatory framework that balances innovation with ethical and societal needs.

4 Sep 2024

DL Optimizes EV Battery SOC Estimation for Efficiency

A deep learning-based model significantly improved the accuracy of state of charge (SOC) estimation in electric vehicle (EV) batteries. Trained on real-world data, the model outperformed traditional methods, enhancing EV efficiency and reliability under varying conditions.

23 Aug 2024

Integrating AI and IoT for Drowning Prevention in Pools

This paper explores advanced drowning prevention technologies that integrate embedded systems, artificial intelligence (AI), and the Internet of Things (IoT) to enhance real-time monitoring and response in swimming pools. By utilizing computer vision and deep learning for accurate situation identification and IoT for real-time alerts, these systems significantly improve rescue efficiency and reduce drowning incidents

9 Aug 2024