I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

The gradient descent algorithm is a type of optimization algorithm that is widely used to solve machine learning algorithm model parameters. Through continuous iteration, it obtains the gradient of ...

Machine learning can help tighten constraints on the overarchingFor almost as long as humans have existed, we have been ...

In this paper, we propose a new method for CT pathological image analysis of brain and chest to extract image features and classify images. Because the deep neural network needs a large number of ...

In a new research paper (Aligning LLMs by Predicting Preferences from User Writing Samples) to be presented at the International Conference on Machine Learning (ICML 2025) next month, Apple ...

I think we have some work to do around protocols and data infrastructure there, but a really exciting opportunity,” Petcu said. Reference Lamberti M, Carter E, Petcu L, Virmani M. The Adoption of ...

In recent years, there has been an increase in the incidence of autism spectrum disorder (ASD), its pathogenesis remains unknown, and there are no effective treatments available. Early identification ...

Apple’s new research paper says AI reasoning isn’t all it’s cracked up to be. Right before WWDC 2025, Apple researchers published a paper called The Illusion of Thinking (PDF) that made waves.

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...