There's a line of thought that equates intelligence with “pattern recognition.” How do you stack up on this unique cognitive ...

Neuro-symbolic AI integrates networks' adaptability and learning capabilities with AI's interpretability and rule-based reasoning. Neuro-symbolic AI is an interdisciplinary field that merges symbolic ...

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 ...

To achieve true autonomy, AI systems must integrate both neural networks (for learning and pattern recognition) and symbolic AI (for structured knowledge and reasoning). This fusion, known as ...

Artificial Intelligence is morphing itself to the requirements of our enterprise applications and our consumer interests at the same time. As the number and type of AI services continue to grow, data ...

Artificial intelligence (AI) has made remarkable strides in recent years, particularly in its ability to reason. At the heart of this evolution are new technologies like neural networks and large ...

As AI systems have advanced rapidly, with large language models (LLMs) at the center, every tech executive has experienced their limits—when AI systems struggle with complex problem-solving, produce ...