An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

A robust, from-scratch implementation of the CART (Classification and Regression Trees) algorithm for classification tasks, developed as part of the DATA2060 Machine Learning course. ├── data/ # Train ...

A Reinforcement Machine Learning Minesweeper Algorithm written in Java. It learns Minesweeper by failing repeatedly and learning from its mistakes. It scans a Minesweeper board for subsets of numbers, ...

1 Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China 2 Department of Maternal, Child and Adolescent Health, School of Public Health, Shenyang Medical ...

Abstract: Quantum computing, in the last few years, has made tremendous gains both scientifically and commercially. The recent announcements by Google and Microsoft ...

Exciting days are ahead for Apple (NASDAQ: AAPL), as the company gears up for a new $100 billion investment in U.S. manufacturing in an attempt to ramp up domestic production and sidestep potential ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...