In this edition of The Basics, Prof. Jan Burzlaff offers advice on the principled and ethical use of artificial intelligence ...

Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...

From how to French brain or play the guitar to how to unclog a sing or perform CPR, you can learn all kinds of useful skills on YouTube. We at Mental Floss are always eager to learn new things and ...

Abstract: Positive and unlabeled (PU) learning aims to train a suitable classifier simply based on a set of positive data and unlabeled data. The state-of-the-art methods usually formulate PU learning ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Through learning communities, you have a great opportunity to connect with other students who share your interests and get to know faculty. Students who participate in a learning community earn higher ...

06/17/2025 Motion to expedite consideration of the petition for a writ of certiorari before judgment filed by petitioners Learning Resources, Inc., et al. 06/18/2025 Response to motion from ...

In 2012, the IAEA published a technical report for establishment and implementation of quality assurance programmes in CT: IAEA Human Health Series No. 19. The report provides guidance on quality ...

The English We Speak is your chance to catch up on the very latest English words and phrases. In under 3 minutes, we help you stay ahead of the pack by giving you 'must have' phrases that you can use ...

Thanks for open-sourcing this framework. I am trying to use it for generating images with tumors, and it’s been super helpful. I’m reading the maisi-v2 paper and looking for the contrastive loss it ...