AI security is evolving in 2026 as autonomous systems push companies toward continuous, machine-speed protection models.

Standing Assumptions About Plasma Sustainment and Efficiency This paper argues that the persistent failure of sustained plasma systems is not an engineering limitation, but the predictable result of ...

For decades, chronic disease management in Medicare has been hampered by a fee-for-service payment system that rewards volume and activity rather than true clinical improvement. This model created ...

IT infrastructure resilience, like modernization and citizen engagement, is an ongoing endeavor for officials in South Dakota ...

Siemens PAVE360 Automotive, a cloud-based digital twin platform, offers automakers a jump-start in adopting software-defined ...

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

Abrar Ahmed Syed bridges AI research and healthcare by architecting scalable cloud platforms and innovative edge-intelligence ...

This evolution marks a shift in the role of marketing teams. Instead of managing workflows, they’re designing strategies.

Healthy aging depends on earlier detection, continuous oversight and care delivered where people actually live.

University of Chicago and Cornell University researchers analyzed wearable health care electronics and reported carbon ...

The future of AI depends on systems that can earn trust—not with marketing slogans, but with technical rigor. That future is ...

If federal cyber grants return in 2026, states should prioritize artificial intelligence-driven security automation, ...