AI that once needed expensive data center GPUs can run on common devices. A system can speed up processing, and makes AI more ...

Superionic water—the hot, black and strangely conductive form of ice that exists in the center of distant planets—was ...

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

The honeymoon phase with generative AI is officially over. The "shadow AI" behaviors we feared in 2024, like pasting ...

Learn how to implement algorithmic agility and post-quantum cryptography in MCP server-client negotiations to secure AI infrastructure against future threats.

The thermal utilization of sustainable fuels and the recovery of waste heat play a central role in today’s energy generation ...

Efficient traffic management in urban areas remains a significant challenge as vehicle density grows and infrastructure ...

Rudy Kuhn of Celonis unpacks why enterprises can't become truly AI-ready until their processes are visible, modular, and free ...

For anyone building a retail product, this is a design and risk lesson. Concentrated access plus viral distribution produces ...

1. AI expands global payments For years, innovation in global payments meant adding more options, e.g., more methods, more ...

Modern tools such as virtual site assessment systems, energy modeling platforms, and software for solar sales proposals have transformed how companies design systems, analyze performance, and close ...

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...