A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

The A-D-A-E framework is a governance model that injects ESG accountability, enterprise risk management, regulatory compliance and program discipline into AI.

As packaging complexity rises, the industry faces gaps in data, inspection, and process integration.

As frontier models converge and infrastructure commoditizes, power is shifting away from the AI itself and toward the platforms that control how agents are built, governed, and deployed. The next ...

No body, no dopamine, no problem. Scientists have successfully coached lab-grown brain tissue to solve a classic robotics challenge, proving that the will to learn is hardwired into our neurons.

Researchers examine technologies and strategies for closed-loop water systems to support long-duration Moon and Mars missions, focusing on efficiency, durability, and resource recovery.

American democracy has been dramatically remade roughly every 60 years: the 1770s, the 1830s, the 1900s, the 1960s. Each time, reform came when ambitious insiders recognized the old order was dying ...

How AI-native core banking platforms like Finpace’s Halcyon are shifting banks from backlog-driven systems to intent-based, ...

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Two-bin inventory control provides a method by which companies are internally flagged when items they need for production are ...

Refer to the circuit diagram below for the complete wiring layout. The Raspberry Pi Pico WhatsApp messaging system reads the ...

A technology has been developed that uses robots rather than humans to evaluate the performance of newly developed catalysts. By operating 45 times faster than manual work while also improving ...