The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift to sustainable building materials.

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...

The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...