Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

For patients taking medications that don't work as expected or pharmaceutical companies struggling with clinical trial ...

Now, with graduation from the Computer Science Department (CSD) on the horizon, he's earned this year's Scott Robert Krulcik ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Medical device makers have been rushing to add AI to their products. While proponents say the new technology will ...

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Have you ever wondered what the biggest challenge facing artificial intelligence isn't? It’s not a lack of processing power, nor is it a shortage of brilliant algorithms. The real hurdle—the one that ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macau 999078, China ...

Companies across sectors have invested in AI at some of their new manufacturing sites. AI can help to increase production, predict machine breakdowns, and forecast demand. This article is part of "How ...