MIT CSAIL introduces EnCompass framework enabling AI agents to backtrack and optimize LLM outputs, achieving 15-40% accuracy boost with 82% less code.

MIT engineers develop DiffSyn, a diffusion-based generative AI model trained on 23,000 synthesis recipes that suggests promising pathways for creating new materials in under a minute, dramatically accelerating experimentation and discovery timelines.

New MIT interdisciplinary course examines rationality in AI systems, blending computer science and philosophy for next-gen scholars.

MIT researchers demonstrate that best-performing machine learning models can become worst-performing when applied to new data environments, revealing hidden risks from spurious correlations in medical AI and other critical applications.