A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.

Asking an engineer to refactor a large, tightly coupled AI pipeline to test an idea is almost guaranteed to fail. Monoliths don’t optimize well either. You’ll spend more time (and money) iterating on ...

The Doñana National Park, considered one of Europe's most valuable wetlands, is expected to lose its marshland in 61 years, according to calculations from a major water-resource monitoring study ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Artificial intelligence is being positioned as a catalytic force in reshaping biomanufacturing, with policymakers, scientists and industry leaders outlining a roadmap that blends computational power ...

Wave energy has long promised steady clean power, but real-world devices have struggled to turn chaotic swells into reliable ...

Aura sits above existing security infrastructure as an automated dispatch and routing layer. When an alert fires, an algorithm scans Aura’s network of vetted private security and medical providers, ...

In this rapidly evolve AI landscape, business transformations are among the most complex challenges leaders face. They ...

A new report from Gartner argues that by 2028, misconfigured AI will shut down the national critical infrastructure in a G20 country. Consultants counter that it will likely happen much sooner.

Adapting to global shifts takes endurance, not speed. Companies treating change as a chance to rethink fundamentals can do ...

A new guide from NUS shows how food companies and researchers can move AI from black-box models to reliable tools for ...