An OpenAI model solved a famous math problem that stumped humans for 80 years

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in ...
Opinion
The LancetOpinion

Co-intelligence: a proposal for human–artificial intelligence collaboration for large language models in medical research

The emergence of large language models (LLMs) offers transformative potential for medical research. Current approaches often focus on LLMs as a replacement for researchers or as a supporting tool. In ...
Investopedia

Overfitting in Data Modeling: Understanding and Prevention

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Investopedia / Zoe Hansen Overfitting occurs when a model is too closely ...
IEEE

Progressive Tree-Based Compression of Large-Scale Particle Data

Abstract: Scientific simulations and observations using particles have been creating large datasets that require effective and efficient data reduction to store, transfer, and analyze. However, ...

Understanding Goodness-of-Fit Tests: Chi-Square and Beyond

Learn about goodness-of-fit tests, including the chi-square test, to evaluate how well your sample data matches the expected ...
IEEE

Performance Evaluation and Application Potential of Small Large Language Models in Complex Sentiment Analysis Tasks

Abstract: Sentiment analysis using Large Language Models (LLMs) has gained significant attention in recent research due to its outstanding performance and ability to understand complex texts. However, ...