Traditional control strategies have limited success in addressing these issues. Therefore, advanced methods like machine learning (ML) are being explored to enhance prediction, optimization, and ...

Plastic recycling is notoriously ineffective and wasteful, but training AI to help sift through the material could be a game changer.

Machine learning, the vendor says, has the potential to detect and eject batteries based on visual features, ideally reducing the risk of ignition during the sorting process. Recycleye worked with ...

Learn more about the relationship between Machine Learning vs Deep Learning vs Foundation Models and how they effect AI models working as a ...

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...

Machine learning algorithms need data, so the researchers designed a polymerization process that would quickly and efficiently generate experimental data to feed into the mathematical model.

Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time ...

Enzymes are molecular machines that carry out the chemical reactions that sustain all life, an ability that has captured the ...

Tweaking a machine-learning model could be an easier option, giving designers a way to model difficulty without diving into branches of a behavior tree.