To thrive in an ever-evolving tech-driven world, tomorrow’s engineers must master a blend of technical expertise, ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

Emotion recognition through Electroence-phalogram (EEG) involves identifying and understanding emotions by analysing the brain's electrical activity. Electroencephalogram, electrocardiogram (ECG), ...

Explore how in-line Raman and NIR spectroscopy, combined with chemometrics, enables real-time reaction monitoring for better ...

The 1990s were a boom time for new programming languages. The rise of the internet and the increasing complexity of software ...

As OEMs and machine builders continue to search for advantages in the digital age, the use of model-based design - an approach involving, at it's core, the ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

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 ...

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 ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

The A.I. Frenzy Is Escalating. Again. Companies like OpenAI, Amazon and Meta have supersized their spending on artificial intelligence, with no signs of slowing down. June 27, 2025 By Cade Metz ...