AWS is making automated reasoning checks, a feature on Bedrock, generally available to customers to start proving truth in their AI systems.

Symbolic AI’s adherents say it more closely follows the logic of biological intelligence because it analyzes symbols, not just data, to arrive at more intuitive, knowledge-based conclusions.

The AI industry is experiencing a significant shift that is not yet widely recognized. While large language models (LLMs) ...

Neuro-symbolic AI brings us closer to machines with common sense This expert explains how neuro-symbolic systems can help to address some of the problems of current AI systems March 19, 2022 - 6:00 pm ...

Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason ...

Called symbolic AI, it uses rules pertaining to particular tasks, like rewriting lines of text, to solve larger problems. Symbolic AI can deftly tackle some problems that neural networks struggle ...

Symbolic AI helped create the chess-playing computers that culminated in Deep Blue, the IBM system that defeated world champion Garry Kasparov in 1997, and it also was behind the first chatbots ...

By blending the structured logic of symbolic AI with the innovative capabilities of generative AI, businesses can achieve a more balanced, efficient approach to automation. This article explores ...

Neuro-symbolic AI is capable of doing so. Empower devices to become more autonomous and intelligent by interpreting this data. Artificial Intelligence and Human Collaboration: ...