Waves that clear waste from the brain during sleep are impaired in older adults
Researchers now hope to investigate whether increasing the flow of cerebrospinal fluid during sleep could improve brain health.
New AI “copilot” helps engineers design better structures
The system asks humans for feedback to increase trust in machine-generated designs for buildings and bridges.
Q&A: From seed funding to scientific breakthroughs
How the MIT Global Seed Funds helped Professor Matt Shoulders and his team build international collaborations that continue to shape his research more than a decade later.
New research could lead to faster, trustworthy AI models for climate prediction
MIT scientists developed a training method to generate models that simulate the effects of human activities on climate much more quickly than other approaches.
Inspired by networks found in nature, engineers design stronger, more resilient “metamaterials”
The new design approach could improve impact absorption for helmets, packaging, and armor.
MIT-led team receives funding to develop next-generation alternatives to modern weed killers
With up to $53 million from ARPA-H, the researchers will use AI to generate safer herbicides that reduce dependence on imports and improve the security of the U.S. food supply.
In postcolonial Ghana, a fresh start but not a blank slate
A new study of the country’s bureaucracy shows the challenges of state-building at the moment of independence.
A single AI model simulates the behavior of many substances, from sliding sand to folding proteins
By learning how matter moves, the WorldParticle system could assist with developing soft robots, medicines, and more.
AI-assisted learning platform helps robots reason beyond literal commands
The new approach, known as FLEX, could lead to more intuitive, interactive household and assistive robots.
Fabric molds could bring material-saving concrete beams within reach
MIT engineers cast a concrete beam using a sewn fabric mold with one-third the amount of concrete and half as much steel as a conventional beam.
How to predict the behavior of molecules from scant data
A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.
Pinning down the structure of quark-gluon plasma, the universe’s first fluid
A new method picks up where Einstein left off, to predict how particles move through fluid under extreme conditions.
Clearing up a robot’s fuzzy memory
A new system identifies and corrects unreliable object descriptions stored in a robot’s memory, improving the robot’s ability to interact with its environment.
MIT-led team receives funding to develop a wearable monitor for early disease detection
Awarded up to $38 million from ARPA-H, the team aims to create a low-power, noninvasive sensor patch that measures heart failure and sepsis biomarkers in real-time.
Featured video: Changing the conversation about endometriosis
Documentary shines a powerful light on a painful disease that affects 265 million women, highlights efforts at MIT’s Center for Gynepathology Research to study the disease and find treatments.