When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual ...

New types of sensors can generate environmental data in real time using a range of tools, including flexible, printed ICs and ...

Abstract: Brain tumors are among the deadliest diseases, leading researchers to focus on improving the accuracy of tumor classification—a critical task for prompt diagnosis and effective treatment.

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

Generations of Black families felt the consequences of these labels. Entire lineages were legally reclassified, erasing Indigenous, European, and multiracial roots. The One-Drop Rule didn’t just say ...

For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...

The Hertz Foundation is proud to recognize the 16 most recent graduates of the Hertz Fellowship in applied science, mathematics and engineering.

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Abstract: Most EEG classification algorithms based on steady-state visual evoked potentials (SSVEP-EEG) require filtering for denoising. However, manually set thresholds may inadvertently remove ...

All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in general, research mathematicians don’t need to think about it ...

Social media companies and their respective algorithms have repeatedly been accused of fueling political polarization by promoting divisive content on their platforms. Now, two U.S. Senators have ...