One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

Abstract: Crop diseases are a noteworthy risk to sustenance security, however their quick distinguishing proof stays troublesome in numerous parts of the world because of the non attendance of the ...

Scientists have identified a blood-based protein signature that can predict lung cancer risk more than five years before diagnosis. Powered by AI and validated across global datasets, the breakthrough ...

Successful industrial AI implementation depends on establishing a strong foundation of data quality, process understanding ...

A roundup of new products at Automate 2026, spanning integrated motion platforms, edge computing, adaptive robotics and ...

Researchers have developed an AI-guided, shape-changing microneedle patch that speeds wound healing while reducing infection ...

It is easy to frame robotics as displacing workers, but Canadian evidence suggests a more complex picture. Ontario research ...

For industrial environments, the decision between wired and wireless technology is a strategic engineering shift driven by ...

A large meta-analysis finds that colorectal cancer leaves a reproducible microbial fingerprint across stool and tumor tissue, raising hopes for future screening research while pointing to dietary ...

Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

Abstract: Timed observation and accurate detection of plant diseases is vital for minimizing the damage to the crops and securing food for the long term, but particularly with cherry powdery mildew ...