Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

Explore behavioral analysis techniques for securing AI models against post-quantum threats. Learn how to identify anomalies and protect your AI infrastructure with quantum-resistant cryptography.

Recently, a collaborative team from multiple institutions, including CIOMP, published a review article in Light: Science & ...

Counterfeit pharmaceuticals jeopardize public health worldwide, often leading to ineffective or dangerous treatments. Enter Raman spectroscopy: a rapid, non-destructive analytical technique that ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Princeton scientists found that the brain uses reusable “cognitive blocks” to create new behaviors quickly.

Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...

Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...