This repository is adapted from here. We are grateful for the work of the developer on this repo. Sadly, that repository is inactive. Thus, a fork was moved here in order to allow for more visibility ...
The deadline to file a claim for money from the $177 million AT&T class action settlement is coming up. AT&T agreed to the settlement to resolve a lawsuit that accused it of failing to protect ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
On Tuesday morning, the University released its preliminary admissions data for the undergraduate class of 2029. With a total of 1,866 first-year and 90 transfer students enrolling, this class marks ...
Jobs and inflation data will be released late and with caveats, complicating the Federal Reserve’s interest rate deliberations. By Ben Casselman and Rebecca Davis O’Brien The government shutdown is ...
I know, I know. Here comes this guy saying that I should add more to my plate. I can’t deny that there’s effort involved, but I plan to make a case that you should collect, analyze and act on a wide ...
The proportion of Black and Hispanic students enrolled in Harvard College’s freshman class dropped in the second year after the Supreme Court overturned race-conscious undergraduate admissions, ...
Authors E. Molly Tanzer and Jennifer Gilmore have sued Salesforce, alleging it "pirated hundreds of thousands of copyrighted books" to develop its XGen AI models. The lawsuit claims Salesforce ...
Abstract: The long-tailed data distribution frequently occurs in the real-world scenarios, whereas deep learning is not effective enough for such distribution. In order to improve the effectiveness ...
Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...
Abstract: Class imbalance, which is common in real-world classification tasks, often leads to biased models favoring majority classes. Data oversampling is a widely used strategy to address this issue ...
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