A transformer-autoencoder method that groups federated clients without labels improved sentiment-classification accuracy across controlled label-skew conditions on Sentiment140 and IMDB.

Data mining is a technology for discovering useful patterns and knowledge from large amounts of data. This article explains ...

A new clustering algorithm called 3L-GBC models dense, transitional, and sparse regions within clusters using granular balls ...

Rice has launched a transformational universitywide AI initiative to recruit 75 faculty members working across disciplines, ...

Earlier this summer, an international team led by biomedical informatics researchers at Harvard Medical School released the first public dataset that connects descriptive radiological information, ...

An unusual study aims to estimate the pollution and health costs from a cluster of proposed data centers, instead of considering each one separately. By Quinn Glabicki Across the United States, ...

The Albuquerque International Balloon Fiesta will feature a first-of-its-kind flight as cluster balloonist Jonathan Trappe prepares to soar in an armchair carried by more than 90 balloons. “In 54 ...

A mystery Polymarket user earned about $22,000 with a series of near-perfect bets on the quarterly earnings of companies that had one thing in common: they were all audited by KPMG. The dozens of bets ...

When ESA's Tango spacecraft burned up over the South Pacific Ocean on September 1, the 26-year Cluster mission didn't just end — it delivered a corrective to the satellite safety calculations that ...

The example Compose file uses include; it does not duplicate service build or runtime settings. Airflow communicates through normal service protocols on openrec-bigdata. It has no Docker socket and ...

A faint ribbon of stars in a distant galaxy has led astronomers to a discovery that could reveal secrets about one of our universe’s greatest mysteries. Hidden within the Hubble Space Telescope’s ...