VentureBeat

Language models can use steganography to hide their reasoning, study finds

In a new study, Redwood Research, a research lab for AI alignment, has unveiled that large language models (LLMs) can master "encoded reasoning," a form of steganography. This intriguing phenomenon ...
Communications of the ACM

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

A marriage of formal methods and LLMs seeks to harness the strengths of both.
Forbes

On Whether Generative AI And Large Language Models Are Better At Inductive Reasoning Or Deductive Reasoning And What This Foretells About The Future Of AI

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I continue my ongoing analysis of the ...
insideHPC

Code Conversion, Reasoning, Visualization and Other LLMs for Science at Argonne

The following is an excerpt from an article written by Gail Pieper, coordingating writer/editor at Argonne National Laboratory. The complete article can be found here. Large language models (LLMs) ...
VentureBeat

How test-time scaling unlocks hidden reasoning abilities in small language models (and allows them to outperform LLMs)

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Very small language models (SLMs) can ...
Longview News-Journal

Imandra Unveils CodeLogician: A Groundbreaking Neurosymbolic AI Agent for Mathematical Code Reasoning

AUSTIN, Texas, March 26, 2025 /PRNewswire/ -- Imandra Inc., a pioneer in neurosymbolic AI and automated logical reasoning, today announced the launch of CodeLogician, a cutting-edge LangGraph agent ...