The governance challenge is intensifying as digital systems increasingly optimize for machine consumption rather than human ...

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 ...

Perimeter security is obsolete. Modern cyberresilience demands zero-trust, continuous verification, and intelligent automation that detects and contains threats before damage occurs.

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 ...