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.

Lilian Coral explains the Trump TikTok deal, what it means for users, and what it reveals about the administration’s efforts ...

Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.

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

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

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

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

Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...

1 Guangzhou Metro Design and Research Institute Co Ltd, Guangzhou, China 2 School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai Campus, Zhuhai, China The final, formatted version ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...