Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

Thick cloud cover can completely obscure the surface of the Earth from satellite view, while thinner haze and shadows distort the image of rural and urban regions. As such, many remote sensing images ...

In an era defined by dashboards, data streams and algorithms, the assumption that numbers rule is understandable. As ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

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

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

How do we trust AI? Know how blockchain ensures AI data integrity, prevents data poisoning, and creates immutable audit trails for machine learning models.

Just how deeply embedded are social biases about gender and age? A new study published in Nature finds that inaccurate ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...