Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
Unite.AI

How Causal AI is Finally Building AI Models That Can Reason, Not Just React

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...
IEEE

Adaptive Learning for Quantum Linear Regression

Abstract: The recent availability of quantum annealers as cloud-based services has enabled new ways to handle machine learning problems, and several relevant algorithms have been adapted to run on ...
How-To Geek on MSN

Why NumPy is the Foundation of Python Data Analysis

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...
C&EN

Deciphering the Key Factors Governing Mn

Beijing Municipal Key Laboratory of New Energy Materials and Technologies, School of Materials Sciences and Engineering, University of Science and Technology Beijing, Beijing 100083, China ...
PNAS

Machine learning in chemistry

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...
IEEE

Machine Learning Based Electrical Load Prediction Using Regression Learners: A Performance Evaluation

Abstract: The primary intent of the present research was to design and execute an electrical load forecasting system using machine learning techniques. Implementing an advanced predictive method, ...