Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine ...

Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...

Collaboration expands quantum computing in LATAM, supporting quantum machine learning for digital pathologySANTIAGO, Chile, ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

While optical computing systems (OCS) with high bandwidth, low latency, and inherent parallelism are promising accelerators for artificial ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...

AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.

A research team led by Professor Taesung Kim of the School of Mechanical Engineering at Sungkyunkwan University (SKKU) has developed an optoelectronic synaptic device that mimics the functions of ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from ...