Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Angela Virtu, a professor of business analytics and A.I. at American University’s Kogod School of Business, examines why most ...

Abstract: Autonomous vehicle platoons are particularly suitable for repetitive tasks due to their capability for efficient coordination, enhanced safety, and reduced driver fatigue. The ...

Understanding how water moves through the Earth system is fundamental to predicting climate impacts and ensuring sustainable ...

The next stumbling block is legacy processes that assume humans are doing all the work. Banking processes were historically ...

AI-driven trading systems require reliable access to market data, execution pathways, and operational safeguards to function ...

The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...

Abstract: "Federated Learning" is an adaptable approach to model training that enables collaborative Machine Learning (ML) while preserving raw data local, thereby safeguarding privacy and adhering to ...

Announcements include new HPE Aruba Networking CX switches, integration with Juniper Mist AIOps to optimize connectivity ...

Krishnam Raju Narsepalle highlights the evolution of enterprise data systems, focusing on reliability, auditability, and long ...