Study predicts large disparities in access to food, water, and energy in 2050
In some regions of the world, the poorest people may spend about 50 percent of their income on food, while the richest spend about 5 percent.
In some regions of the world, the poorest people may spend about 50 percent of their income on food, while the richest spend about 5 percent.
The work is part of a multiyear effort to develop a distributed sensor network for relaying data collected from this critical region.
In the new method, cells package and export their RNA, enabling researchers to sequence and analyze the RNA without killing the cells.
This scalable process produces high-performance chips for applications like discreet wearables or pliable augmented-reality displays.
This advance could be a big step toward developing a scalable, practical quantum computer.
A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.
Due to physical and fundamental limitations, an earlier proposal for producing laserlike beams of neutrinos cannot be achieved, scientists report.
The brain's ability to generate quick, nimble volitional thought — and a unified awareness of thought and experience — arises from analog computations, MIT neuroscientists argue in a new review.
A new study reveals insights into populations of neurons affected by Huntington’s disease, schizophrenia, addiction, and other disorders.
Graduate student Lyonel Tanganco investigates how to improve public policy interventions and address challenges in nutrition, climate, and development.
The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
New research offers support for the possibility that complex biological molecules could exist in the highly acidic environment of Venus’s cloud layer.
Climate scientist Sai Ravela is using games to help coastal communities find creative adaptations to climate change.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
MIT CSAIL researchers found a way to exploit a split-second gap in chip security — and used it to acquire a Linux system’s password file.