Scientific American

New protein-folding AI predicts the structures of 1 billion proteins

The new open-source atlas, generated by an AI tool called ESMFold2, vastly increases the known protein universe ...

Researchers develop Bayesian inference for hidden dependence structures in multi-group high-dimensional data

In today's scientific and industrial fields, high-dimensional data in which numerous variables are observed simultaneously, such as genomic, climate, financial, and sensor data, are rapidly increasing ...

Using C Libraries in Java 3: Complex Applications, Pitfalls, and Best Practices

The FFM API makes accessing C libraries convenient but also presents challenges. Helper functions and best practices make it ...
IEEE

Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review

Abstract: Fraudulent financial statements (FFS) are the results of manipulating financial elements by overvaluing incomes, assets, sales, and profits while underrating expenses, debts, or losses. To ...