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

Symbolic Logic, Inc., a research and development organization, focuses on developing proprietary algorithms that model and predict behaviour of dynamic systems. It is also developing a set of tools ...

Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members ...

Blending logic systems with the neural networks that power large language models is one of the hottest trends in artificial intelligence. Now, however, the computer-science community is pushing hard ...

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

Back when Minecraft was relatively new and was released on several new platforms, 4J Studios added a unique way to introduce players to the sandbox game. In the early days, Legacy Console Editions for ...

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 ...

Abstract: This article studies the controller synthesis problem for nonlinear control systems under linear temporal logic (LTL) specifications using zonotope techniques. A local-to-global control ...

As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, sell user ...

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 ...