A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

For safety-critical and highly regulated situations such as advanced driver assistance systems (ADAS) and automated driving ...

By forcing crystal structures to compete, scientists uncovered a new way to make magnetism twist. Florida State University ...

Artificial intelligence is sliding into physics classrooms so smoothly that it can feel like a harmless upgrade rather than a ...

At the heart of the friction is a simple contrast. The ledger must be immutable, reconcilable to the last decimal, and ...

Explore real-time threat detection in post-quantum AI inference environments. Learn how to protect against evolving threats and secure model context protocol (mcp) deployments with future-proof ...

Humanity’s next great expansion is no longer a thought experiment. It is unfolding in real time in orbit, around the Moon and ...

Nkembuh, N. (2026) Symbiotic Communication Systems: Examining the Co-Evolution of Human-AI Communication Patterns in the ...

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...