Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...

As humans and machine learning systems often face similar computational challenges 1, there has been synergy between machine learning and cognitive science research, leveraging machine learning ...

Large language models (LLMs) increasingly mimic human cognition in various language-based tasks. However, their capacity for metacognition—particularly in predicting memory performance—remains ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI Ask ten people how large language models work, and you’ll ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

Forbes contributors publish independent expert analyses and insights. Craig S. Smith, Eye on AI host and former NYT writer, covers AI. Seven years and seven months ago, Google changed the world with ...

Stanford research finds AI models agree with users 49% more than humans, while memory mismanagement causes up to 39% performance drops across 15 major LLMs.