The Debrief

Large Language Models Rival Humans in Learning Logical Rules, New Study Finds

New research shows large language models rival humans in learning logic-based rules, reshaping how we understand reasoning.
Nature

Inductive Logic Programming and Machine Learning

Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...
mccormick.northwestern.edu

Exploring the Connections Among Machine Learning, Interpretability, and Logic

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
mccormick.northwestern.edu

Examining the Intersection of Machine Learning and Mathematical Logic

The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...
SiliconANGLE

Sumo Logic’s Automatic Anomaly Data Detection – Learning, Big Data, and Cloud

Data – Most organizations are swimming pretty deep in an endless pool of collected data from applications, infrastructure, and machines. Even with some of the great tools available, getting through ...
Forbes

With Acquisition Of Latent Logic, Waymo Adds Imitation Learning To Self-Driving Training

Waymo is running 10,000 virtual vehicles through scenarios 24 hours a day and has logged more than 10 billion computer simulated miles. Now its learning environments will have a new tool to simulate ...
Business Insider

Copyleaks Wins Tech & Learning Awards of Excellence: Back to School 2025 for AI Logic

NEW YORK, Sept. 19, 2025 (GLOBE NEWSWIRE) -- Copyleaks, the leader in content authentication and AI detection, today announced that its groundbreaking launch of AI Logic has been named a winner in the ...