Atlas of human brain blood vessels highlights changes in Alzheimer’s disease
MIT researchers characterize gene expression patterns for 22,500 brain vascular cells across 428 donors, revealing insights for Alzheimer’s onset and potential treatments.
MIT researchers characterize gene expression patterns for 22,500 brain vascular cells across 428 donors, revealing insights for Alzheimer’s onset and potential treatments.
MIT students share ideas, aspirations, and vision for how advances in computing stand to transform society in a competition hosted by the Social and Ethical Responsibilities of Computing.
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.
Symposium speakers describe numerous ways to promote prevention, resilience, healing, and wellness after early-life stresses.
Tactile stimulation improved motor performance, reduced phosphorylated tau, preserved neurons and synapses, and reduced DNA damage, a new study shows.
Using insights into how people intuit others’ emotions, researchers have designed a model that approximates this aspect of human social intelligence.
Media Lab PhD students Manuj Dhariwal and Shruti Dhariwal introduce a new paradigm of creative collaboration in digital learning environments.
A new study shows lawyers find simplified legal documents easier to understand, more appealing, and just as enforceable as traditional contracts.
A full-building energy efficiency project aims to reduce total campus emissions by 2 percent.
It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.
Researchers create a new simulation tool for robots to manipulate complex fluids in a step toward helping them more effortlessly assist with daily tasks.
With full genetic control and visibility into neural activity and behavior, MIT scientists map out chemical’s role in behavior.
Seven staff members honored for their dedication to the School of Science and to the Institute.
The fellowship funds graduate studies at Stanford University.
Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.