Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
IEEE

A Systematic Review on Quantum Machine Learning Applications in Classification

Abstract: Classification is a fundamental aspect of leveraging big data for decision-making across domains such as engineering, medicine, economics, and beyond. This systematic review explores the ...
IoT Tech News

Machine learning at the edge in retail: constraints and gains

Retail LLMs promise raw computing power in edge settings. But what are the considerations that face decision-makers in the ...

AI agents are flashy, but machine learning still pays the bills

As agent hype fades, machine learning quietly proves it’s still essential.
Scientific Research Publishing

Proposal for a Machine Learning Model to Improve Hauling Productivity in an Open-Pit Mine ()

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
IEEE

A Comparative Study of Gradient Based Optimizer Algorithms and Nature Inspired Optimizer Algorithm for Machine Learning Models: Case study on Image Classification

Abstract: Optimization algorithms play an important role in the training of machine learning models. Gradient-based optimizers such as Adam, RMSprop, and Stochastic Gradient Descent (SGD) are widely ...