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: Anomaly detection has been an important research topic in data mining and machine learning. Many real-world applications such as intrusion or credit card fraud detection require an effective ...

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 ...

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control 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 ...