Machine Learning Trends For 2026

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

Machine learning helps solve a central problem of quantum chemistry

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
IEEE

Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models

Abstract: Science and engineering problems fall in the category of complex conceptual problems that require specific conceptual information (CI) like mathllogic-related know-how, process information, ...
IEEE

Multi-Task Transfer Learning in Trajectory Tracking Control Problems using Iterative Learning Control

Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...