Abstract: Message Passing Neural Networks are known to struggle with limited expressivity and capturing long-range dependencies. While Graph Transformers alleviate these issues with global attention ...
You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...
The Army is creating a dedicated artificial intelligence and machine-learning career field for officers as it pushes to integrate AI more deeply into its operations. The new 49B specialty establishes ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
In modern drug discovery, generative molecular design models have greatly expanded the chemical space available to researchers, enabling rapid exploration of new compounds. Yet, a major challenge ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...
This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...
Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...
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