electronics360.globalspec1d
25 trends in robotics for 2025
The natural and long foreseen fusion of AI and robotics empowers robots to perform increasingly complex tasks, with ...
Hosted on MSN5d
Efficient machine learning: Predicting material properties with limited data
Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited ...
Scientists use machine learning to develop an opener for a molecular can
In an era of medical care that is increasingly aiming at more targeted medication therapies, more individual therapies and ...
Machine learning speeds up prediction of materials' spectral properties
Many techniques in computational materials science require scientists to identify the right set of parameters that capture ...
Computer models are vital for studying everything from climate change to disease – here’s how AI could make them even better
However, after a model is trained, using it to make predictions is comparatively fast and cheap. The results show that AI can ...
Nottingham Post16d
Expert reveals simple washing machine setting that dries clothes faster in winter
Nicola Lewis, a decluttering and cleaning aficionado commanding a near 200k following on her Instagram handle @thisgirlcanorganise, divulged a "secret" washing machine function in her newest ...
GitHub21d
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Hyperparameter-optimization of machine-learning methods. Gradient-Free-Optimizers is the optimization backend of Hyperactive (in v3.0.0 and higher) but it can also be used by itself as a leaner and ...