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, ...

A new neuro-symbolic framework called Delta Semantics keeps machine learning outputs provably consistent with evolving ...

We recently presented our paper Equitable Access to Justice: Logical LLMs Show Promise at the NeurIPS 2024 workshop on System-2 Reasoning at Scale. This project was a group effort involving Manuj Kant ...

Forbes contributors publish independent expert analyses and insights. I write on the intersection of artificial intelligence, international law and finance. May 31, 2024, 07:15am EDT May 31, 2024, ...

Symbolic AI algorithms have played an important role in AI's history, but they face challenges in learning on their own. After IBM Watson used symbolic reasoning to beat Brad Rutter and Ken Jennings ...

Large language models (LLMs) are powerful creative tools for writing, code generation, video generation, and companionship. Yet while LLMs may seem the smartest, they can also look the dumbest. So, ...

The term "reasoning" is a familiar metaphor in today's artificial intelligence (AI) technology, often used to describe the verbose outputs generated by so-called reasoning AI models such as OpenAI's ...

Apple’s recent research paper, “GSM Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models,” challenges the perceived reasoning capabilities of current large ...

Standard treatments of cognitive-behavior therapy (CBT) rely primarily on truth-functional logic to help clients overcome their irrational thinking. Thus, the client learns to avoid ...