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, ...

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

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, ...

In September 2024, OpenAI previewed a model that behaved differently from the AI systems most people had grown accustomed to.

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 ...

One of the main barriers to putting large language models (LLMs) to use in practical applications is their unpredictability, lack of reasoning and uninterpretability. Without being able to address ...

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 ...