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.

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

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 ...

NEW YORK, July 9 (Reuters) - TikTok is preparing to launch a standalone app for U.S. users that is expected to operate on a separate algorithm and data system from its global app, laying the ...

Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...