But now, researchers at the University of New South Wales, Sydney have developed an enhanced way to make green ammonia through electrolysis. The researchers used machine learning to find an innovative ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request ...

This Fleets Explained entry tackles some of the factors that impact fuel efficiency, such as what you're driving, how you're driving, where you're driving, weather, and more. Increased fuel ...

The U.S. Transportation Department is expected to declare that fuel economy rules issued under then President Joe Biden exceeded the government's legal authority by including electric vehicles in ...

As the automotive industry seeks to enhance environmental sustainability, predicting vehicle fuel efficiency has become crucial. This project aims to develop a deep learning model using TensorFlow to ...

Turn text into emojis using LSTM networks in TensorFlow — hands-on tutorial with real code. #TensorFlow #LSTM #EmojiPrediction At least 24 are dead, and girls are missing from a camp, in a ...

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care. If you have the appropriate software ...

Researchers found a strategy to create catalysts that make the production of hydrogen for clean fuel more efficient and affordable.

Physics Simulation With Graph Neural Networks Targeting Mobile Predict dynamic behaviors in a physics system in a way that’s computationally efficient and adaptable to a range of scenarios.