Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Genome-wide association studies (GWAS) have catalogued hundreds of thousands of genetic variants linked to complex human traits and diseases, with more than 625,000 variant-trait associations across ...

Abstract: Tensor robust principal component analysis (TRPCA) is a fundamental model in machine learning and computer vision. Recently, tensor train (TT) decomposition has been verified effective to ...

Abstract: Pregnancy complications significantly impact maternal and fetal health, requiring accurate and timely diagnostic methods for life-saving interventions. Traditional manual analysis of ...

For decades, ramp operations have been treated as routine logistics: a cycle of fueling, catering, baggage handling, and pushback. These activities, while essential, have long operated behind the ...

Electrification of GSE is moving from pilot projects to mandatory procurement, with significant improvements in battery technology and charging infrastructure supporting this shift. Autonomous systems ...

Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Start-ups are paying white-collar professionals to teach their jobs to artificial intelligence models. It’s a bonanza. It’s ...

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...