A burst of “pink noise” may lead to more restorative sleep
Delivered at just the right time, this type of auditory stimulus can strengthen the flow of cerebrospinal fluid, which clears debris from the brain and keeps it healthy.
Department of EECS Announces 2026 Promotions
The Department is delighted to announce the following tenure promotions.
This new metric for measuring uncertainty could flag hallucinations and help users know whether to trust an AI model.
The engineered tissue grafts could take on the liver’s function and help thousands of people with liver failure.
New research detects hidden evidence of mistaken correlations — and provides a method to improve accuracy.
Researchers discover a shortcoming that makes LLMs less reliable
Large language models can learn to mistakenly link certain sentence patterns with specific topics — and may then repeat these patterns instead of reasoning.
Charting the future of AI, from safer answers to faster thinking
MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth.
This is your brain without sleep
New research shows attention lapses due to sleep deprivation coincide with a flushing of fluid from the brain — a process that normally occurs during sleep.
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.