Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

What if we told you that the secret to healthier soil, cleaner ecosystems, and smarter farming isn't buried in a high-tech lab—but hidden in the data ...

EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...