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

AI introduces a dynamic, context-aware, and data-driven approach to capital allocation. Using machine learning algorithms, ...

In performance tests, RANK achieved a dramatic 99.56% reduction in alerts requiring human review using the DARPA TC dataset, and a 95% reduction on real enterprise datasets. These results underscore ...

Anti-infective discovery is evolving with AI and robotics – learn how UK researchers aim to cut development time and improve ...

The prediction of loan defaults is crucial for banks and financial institutions due to its impact on earnings, and it also plays a significant role in shaping credit scores. This task is a challenging ...

Summary <p>The primary goal of the proposed work is to predict diabetes from deoxyribonucleic acid (DNA) sequence data by constructing a robust classification model. The evaluation of the model's ...

These waves are at least twice as tall as the surrounding waves. They’re unpredictable. They can come from unexpected ...

“Cultural relevance of AI ads influences my brand perception”.

Researchers demonstrate a novel optical extreme learning machine using laser light in fibers, achieving over 91% accuracy in digit classification.

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

So now, suddenly, when faced with terms like “hyperparameter tuning” and “unsupervised learning,” a 50-year-old brain initiates its own version of a denial-of-service attack in these courses.