Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

LNER and Network Rail have announced a collaboration intended to expand the use of technology designed to improve reliability ...

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...

Denmark’s Frederiksen bruised in election, as voters put Trump’s Greenland ambitions to the side William Shatner turns 95 and gives blunt life advice that keeps him 'smokin' Full list of US airports ...

Yield loss is increasingly driven by molecular variability in thin films, interfaces, and contamination rather than visible defects. Reliability issues often appear first as parametric drift or margin ...

Measured on NVIDIA RTX A6000 (shared GPU, other processes active), batch size 1, image size 640×640, with 5 warm-up images excluded from timing. RT-DETR Val [email protected]:0.95 0.6761 (ep 20) 0.7464 (ep 14)* ...

Abstract: Due to the fast development of the use of solar energy, it is necessary to efficiently maintain and manage the waste of solar panels. Solar energy has been a source of sustainable and widely ...

Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...

Microsoft’s research shows how poisoned language models can hide malicious triggers, creating new integrity risks for enterprises using third-party AI systems. Microsoft has developed a scanner ...