Machines whisper before they scream: we built an AI model that predicts expensive problems

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...
Devdiscourse

Biomedicine is becoming “AI-dependent” as algorithms outperform human diagnostics

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational modeling, genomics and drug development. The authors highlight how ...
Machine Design

Physical AI in Motion: How Machine Learning Drives Next-Gen Industrial Automation

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap ...
IEEE

Hybrid Deep Reinforcement Learning for UAV Inspection in Large-Scale Wind Farms: Deployment and Routing Optimization

Abstract: The growth of global wind capacity necessitates efficient maintenance and inspection, particularly in offshore wind farms. However, existing manual inspection method is time consuming and ...
IEEE

An Exploratory Study of Security Vulnerabilities in Machine Learning Deployment Projects

Abstract: Machine learning (ML) deployment projects are used by practitioners to automatically deploy ML models. While ML deployment projects aid practitioners, security vulnerabilities in these ...
WDAF-TV

AgiBot Achieves First Real-World Deployment of Reinforcement Learning in Industrial Robotics

SHANGHAI, Nov. 2, 2025 /PRNewswire/ -- AgiBot, a robotics company specializing in embodied intelligence, announced a key milestone with the successful deployment of its Real-World Reinforcement ...