Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Machine learning tackles laser process variability Laser-based metal manufacturing, including powder bed fusion (PBF) 3D printing, requires precise parameter settings that can change even between ...

The field of industrial production is increasingly dependent on materials whose origins and behaviors are intricately tied to geological processes and ...

By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

Study shows tech firms struggle defining fairness in recommendation systems due to organizational incentive constraints ...

During an April 2 showcase event, Research Track students presented the work they developed over the two quarters. The 12 ...

Operational efficiency is changing from doing more with less to doing more with data, helping P&G and Unilever boost output ...

Eggs and poultry provide important sources of protein globally, driving a major industry with large economic impacts.

TNEA 2026 starting date: Tamil Nadu Engineering Admissions (TNEA) 2026 will commence in the third week of May, shortly after ...