Family separation often leads to PTSD, anxiety, depression, and reduced life expectancy in detained children. Child welfare, juvenile justice, and immigration enforcement separate families under the ...

Mosaic theory is an analysis method used in finance to gather diverse information about companies. Discover its components and how it can guide investment decisions.

In nanoscale particle research, precise control and separation have long been a bottleneck in biotechnology. Researchers at the University of Oulu have now developed a new method that improves ...

In nanoscale particle research, precise control and separation have long been a bottleneck in biotechnology. Researchers at ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

Chief Justice John Roberts’ court is actively eroding the separation of church and state, breaking with centuries of First Amendment jurisprudence. This past term, the U.S. Supreme Court further ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

The separation of young children from their parents happens for many reasons, including death, divorce, incarceration, natural disasters, and immigration policy. The circumstances that disrupt or ...

A federal appeals court on Wednesday blocked the Trump administration from replacing the US’ top copyright official as the fight over executive branch firings and President Donald Trump’s use of ...

MINNEAPOLIS — A report by the Minneapolis City Auditor found that the city did not violate its separation ordinance during a federal operation on June 3 near Lake Street and Bloomington Avenue in ...

President Trump has revived his first-term policy of separating migrant children from their parents, and the more targeted version is happening far from the border. By Jess Bidgood and Hamed Aleaziz ...

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...