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.

A century ago, the section of U.S. federal law governing public health and welfare was relatively small and loosely connected ...

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

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

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

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.

Estonia's new AI advisory committee reveals a striking absence of multidisciplinary expertise, ethical oversight, and diversity.

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

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 ...