A new framework leverages the power of ensemble forecasting and uncertainty quantification to identify subtle precursors to critical failures, offering a path towards proactive system maintenance.
A new approach leverages large language models to forecast extreme price fluctuations in electricity markets, offering a competitive edge when data is scarce.
A new framework systematically maps the unique safety challenges posed by artificial intelligence within the growing landscape of Digital Public Goods in India.
New research demonstrates that artificial intelligence can analyze carotid ultrasound videos to detect subtle vascular damage, offering a potentially more accurate and scalable approach to cardiovascular risk assessment.
A critical review unpacks the speculative narratives surrounding artificial intelligence and their often-overlooked ideological underpinnings.
New research demonstrates how explainable AI techniques can illuminate the decision-making of deep learning models used to detect faults in complex chemical processes.
A new study reveals how the proliferation of AI-written content is quietly eroding the quality and diversity of online information retrieval.
A new system uses sensor fusion and continual learning to predict and diagnose wheel defects in railway systems, enhancing safety and reducing maintenance costs.
A new survey explores the growing vulnerabilities to personal data exposed by artificial intelligence systems used in social media platforms.
A new approach to fault detection uses fused sensor data and artificial intelligence to improve the reliability and efficiency of 3D printing processes.