Two rigs operating at Mercur since July have completed approximately 3,200 meters of a planned 13,000-meter drilling program ...

By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about ...

Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...

Aircraft surface inspections are a critical and mandatory component of airworthiness that uses visual and digital checks to spot minute damage, wear, or malfunction.

The project, titled “Leveraging Foundation Models for Aircraft Surface Inspection in Open Environments”, tackles three main machine learning concerns: a lack of precedents of actual defects required ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

Learn how to structure and deploy machine learning projects, making them scalable and ready for real-world applications.

Risk management is relevant for every project that which seeks to avoid and suppress unanticipated costs, basically calling for pre-emptive action. The current work proposes a new approach for ...

Machine learning projects have the potential to help us navigate our most significant risks — including wildfires, climate change, pandemics, and child abuse.