Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

ML-powered retail media solutions optimize product visibility, enhance shopping experiences and create wins for sellers, ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Meesho has begun open-sourcing its internal AI stack with the release of a production-grade feature store on GitHub. More ...

Key Takeaways Understanding core concepts like supervised learning, overfitting, and evaluation metrics is vital for data ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Praveen Kumar Dora Mallareddi is recognized as a transformative leader in data engineering, renowned for his ability to drive ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

MICB and NOTCH4 were expressed in fibroblasts and endothelial cells, two cell types that play central roles in fibrosis and vasculopathy.

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

Few conversations in technology have moved as quickly as the one around data privacy. Ten years ago, engineers spoke mainly about throughput; today they juggle acronyms—GDPR, CCPA, DMA—that carry real ...