If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

It might seem like an obvious move to deploy drones to help look for flood victims, but floods pose unique challenges that ...

Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Recent research has shown that using machine learning is an efficient approach to look for these molecules. Though machine ...