Use Deep Q-Learning model to optimize energy consumption of a data center This project leverages an AI deep learning model to optimize and reduce the energy consumption of a data center by up to 70%.

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

Learn what dropout and weight decay are, how they work, and how to implement them in Python using Keras. Find out how to optimize your deep learning models with regularization.

“Deep learning models are highly effective at recognizing patterns because they process information in layers,” says Sukh Sohal, Senior Consultant at Affinity Reply.

Detecting and tracking code clones can ease various software development and maintenance tasks when changes in a code fragment should be propagated over all its copies. Several deep learning based ...

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

Terrorism has an impact on people's quality of life by stifling their physical and mental freedom. People are researching harder to investigate new defense systems to defend humanity. To protect ...

Study in Npj Digital Medicine evaluates COMPOSER, a deep learning model for early sepsis prediction, showing its effectiveness in improving patient care and reducing in-hospital mortality rates.

Campus News Seismologists use deep learning to forecast earthquakes A team of researchers at UC Santa Cruz and the Technical University of Munich created a new model that uses deep learning to ...

All the latest science news on deep learning models from Phys.org. Find the latest news, advancements, and breakthroughs.

Using deep-learning models will also eventually allow researchers to expand the type of data they use to forecast seismicity. “We’re recording ground motion all the time,” said Brodsky.