The X algorithm’s promotion of conservative content may shift the political opinions of those who switch to its “for you” tab after previously using a purely chronological feed, a study published ...
A new study published today in Nature has found that X’s algorithm – the hidden system or “recipe” that governs which posts ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
For decades, psychologists have argued over a basic question. Can one grand theory explain the human mind, or do attention, ...
People often blame social media algorithms that prioritize extreme content for increasing political polarization, but this effect has been difficult to prove. Only the platform owners have access to ...
Artificial intelligence could help doctors detect serious heart valve disease years earlier, potentially saving thousands of lives, a new study suggests.
The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
AI-detected extranodal extension could help predict which patients with oropharyngeal carcinoma would benefit from de-escalated treatment and who could use intensified therapies.A retrospective ...
Abstract: One crucial factor for dissimilarity of microbiome studies is the choice between denoising or clusterization algorithms, respectively. Moreover, the robustness, or stability of these ...
This project implements a 2D pore-throat network extraction algorithm for porous media images. It uses a modified watershed segmentation approach based on Distance Transform and H-maxima markers to ...