The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprises are still ...

The researchers suggest that this improvement in diagnostic performance for OFC biomarker discovery can be used to develop a diagnostic alternative for food allergy that is scalable and more efficient ...

In an age where predicting future occurrences is tough, Artificial Intelligence (AI) has transformed predictive modeling. Conventional forecasting approaches that were limited in catching complicated ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

In a recent study published in The Lancet Digital Health, researchers performed a meta-analysis to evaluate the quality and performance of deep learning and machine learning models for long-term ...

Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...