Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...

LLMs-gone-rogue dominated coverage, but had nothing to do with the targeting. Instead, it was choices made by human beings, over many years, that gave us this atrocity ...

A study shows radiologists inconsistently identify AI-generated x-rays, highlighting emerging risks for clinical decision-making and data integrity.

Researchers at Rice University have identified why a widely studied organic semiconductor behaves unpredictably ...

A person with advanced heart failure can look stable at a routine clinic visit. Their vitals may not alarm anyone. Their ultrasound might appear unremarkable to a quick review. The most revealing ...

A new hybrid AI model improves lung cancer detection on CT scans, achieving over 96% accuracy for early tumour identification ...

A key factor for the performance of sensors is the speed at which the system returns to its initial state after a disturbance ...

CHENNAI: An AI-driven monitoring system using sensors mounted on trains running at up to 350kmph to detect track defects early, before cracks develop, and automatically slow trains will be installed ...

The next wave of AI-powered cybersecurity attacks will be like nothing we’ve seen before. That’s the message AI company Anthropic sent in a leaked blog post last week, in which it warned that its ...