Marketed as neutral tools, algorithms are trained on data shaped by political fear, racial profiling, and security doctrines, ...

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...

An integrated intent-driven verification and distributed monitoring framework strengthens network infrastructure security by uniting real-time traffic analysis, machine learning-based threat detection ...

It’s useful to think of our engagement with algorithms as a social contract. Political theorists have long used the social contract as a device to explain why individuals submit to the authority of a ...

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The combination of artificial intelligence and human collaboration is transforming the analysis of tissue (anatomopathological) samples obtained from biopsies or surgical specimens. A study published ...

ACADIA 2025 brought together leading voices in tech and design to share how algorithms, software and data analysis will ...

AI-assisted signal debugging has broad impact across many domains.

The future of skincare in India is intelligent where technology meets tradition, and beauty becomes not just personal, but ...

The research argues that humanity has entered an era of cognitive and moral hybridization. Humans and algorithms now ...

To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points, the researchers employed random under-sampling techniques, ensuring the ...