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 ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

The SAFEXPLAIN project, formed by an inter-disciplinary consortium of six partners coordinated by the Barcelona ...

This course is designed for students from various disciplines that use data to inform decision-making. It is suitable if you want an in-depth understanding of how machine learning can be integrated ...

Testing and validating AI data sets helps ensure they are diverse and representative. “Developers use the Responsible AI Toolkit to assess bias in data sets and ensure transparency through ...

AUSTIN, Texas, June 12, 2025--Autonomize AI, a pioneer in AI-driven healthcare solutions, today announced that it raised $28 million in Series A funding, bringing total capital raised to $32 ...

In the field of medical image analysis, the integration of machine learning (ML) models has significantly enhanced the process of identifying and diagnosing Alzheimer’s disease. However, the opacity ...

The end-to-end learning pipeline is gradually creating a paradigm shift in the ongoing development of highly autonomous vehicles (AVs), largely due to advances in deep learning, the availability of ...

To better understand how the Vision Transformer (ViT) attends to different regions of the input image during classification, this repository includes example attention maps that show the model’s focus ...