Louisiana researcher Abdur Rahman is developing anomaly detection that helps operators spot cyber threats and equipment ...

AI-driven genomic analysis could help researchers identify existing drugs that may be repurposed for subtype-specific breast ...

Collaboration aims to tackle one of autonomous vehicle industry’s biggest challenges, namely proving how systems make ...

Yeshwanth Macha developed explainable AI models improving insurance fraud detection accuracy, transparency, compliance and operational efficiency for insurers globally.

Louisiana Tech University’s Dr. Abdur Rahman received a two-year, $185,000 National Science Foundation (NSF) award to develop artificial intelligence systems that can identify problems in critical ...

• Expanding Opportunity: Reliable, explainable data can improve access to products, services and outcomes across industries.