Strategic documents reveal divergent power projects, with Washington reinforcing a security logic and Beijing proposing integration with the Global South The almost simultaneous publication, in ...

Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: ...

On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It ...

Abstract: This study examines the issue of interpretability in fault diagnosis for rolling bearings using a symbolic learning technique. We propose the adoption of weighted signal temporal logic (wSTL ...

Byron Cook, a distinguished scientist at Amazon, is is helping the company use an obscure type of AI to minimize AI's worst ...

This repository contains the code for the poster From Symbolic Logic Reasoning to Soft Reasoning: A Neural-Symbolic Paradigm. The goal is to build up an end-to-end neural based reasoning engine. The ...

Abstract: Programmable Logic Controllers (PLC) are widely used in industry. The reliability of the PLC is vital to many critical applications. This paper presents a novel approach to the symbolic ...

What if artificial intelligence could do more than see anecdotal evidence of where business growth is and identify the actions to drive that growth? That’s the promise of neurosymbolic AI.

As of , had a $0.0 market capitalization, putting it in the percentile of companies in the industry. does not have a meaningful P/E due to negative earnings over the last 12 trailing months. ’s ...

Symlink – also called a Symbolic link or Soft link – could be one of the most hidden concepts for computer users. However, that does not take away its importance and the benefits it offers. How about ...

Logic Tensor Network (LTN) is a Neural-Symbolic (NeSy) framework which supports learning of neural networks using the satisfaction of a first-order logic knowledge base as an objective. In other words ...