Logical Intelligence Achieves 76 Percent on Putnam Benchmark, Highlighting Shift Beyond Large Language Models to Language-free, Mathematically Grounded Models

Over the last decade, artificial intelligence (AI) has been largely built around large language models (LLMs). These systems are based on a language and guess words in a chain in the form of tokens.
The Business Journals

How a logic model could drive change in your health care organization

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. "Leadership" is a powerful word. We feel it when we are in ...

Sumo Logic Expands Dojo AI to Transform Security Investigations with New Agentic AI Capabilities

Sumo Logic, the leading Intelligent Operations Platform, today announced new advancements to Sumo Logic Dojo AI, its agentic ...
Governing

Logic Models and the Quest for Results

For the past 20 years or so, we've seen a growing demand for accountability in the public and nonprofit sectors. It's not enough to document your program's outputs—say, the number of students who took ...

Sumo Logic expands Dojo AI with new agentic tools for modern security operations

Data analytics software firm Sumo Logic Inc. today announced new advancements to Sumo Logic Doja AI, its agentic artificial ...
JSTOR Daily

Logic Models as Aids in Managing Health Programs

Logic models, which are graphic depictions of how programs are intended to operate, can be very useful devices for improving the management of health programs in two important ways. They can assist ...
Nature

Quantitative and logic modelling of molecular and gene networks

Computational models of molecular and gene networks are now commonplace. They are becoming larger and more complex, and are based on various approaches. Standard formats permit the sharing and reuse ...