Juan M. Lavista Ferres, the chief data scientist at Microsoft's AI for Good Lab, discusses how artificial intelligence might ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, ...

A powerful machine learning detector based on the k-nearest neighbors (KNN) algorithm is proposed to overcome system impairments. The zero-dispersion link (ZDL), dispersion managed link (DML), and ...

In order to establish an auxiliary diagnosis system for PD, this paper mainly introduces machine learning methods, specifically, the KNN algorithm, Random Forest algorithm, and Naive Bayesian ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

PNAS: Welcome to Science Sessions, the podcast of the Proceedings of the National Academy of Sciences, where we connect you with Academy members, researchers, and policymakers.Join us as we explore ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

Linkage mapping has been widely used to identify quantitative trait loci (QTL) in many plants and usually requires a time-consuming and labor-intensive fine mapping process to find the causal gene ...