New research shows that a medical artificial intelligence model accurately screened for cardiac amyloidosis, a progressive and irreversible type of heart disease, outperforming existing methods and potentially enabling better diagnosis and treatment.

To improve adaptability of large language models to challenging tasks that require reasoning, MIT researchers found strategically applying a method known as test-time training with task-specific examples can boost the accuracy of an LLM more than sixfold.

New research studying shape memory alloys with AI may allow fighter jets to transform into the future with the help of new materials.