Traditional dating apps including Tinder, Grindr and Bumble and California startups are experimenting with how AI could ...

Abstract: The challenge of imbalanced data classification stems from the uneven distribution of data across classes, which is a formidable obstacle for traditional classifiers. Although numerous ...

Abstract: Existing distance measures for sequential data are often ineffective and inefficient, as they are not true metrics and incur quadratic time complexities with respect to sequence length. In ...

In this post, we describe FrodoKEM, a key encapsulation protocol that offers a simple design and provides strong security guarantees even in a future with powerful quantum computers. For decades, ...

Solving Ordinary Differential Equations (ODEs) is an essential and very challenging computational problem in many areas of science and engineering like physics, biology, control system, and economics.

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

Radiomics can be defined as the quantitative extraction of a high number of features from medical images for discovery of new predictive, diagnostic or prognostic imaging biomarkers of disease.

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

This is an implementation of the Boyer-Moore substring search algorithm in pure python. It is a shameless copy-paste of the python reference code provided here, with modifications to support the ...