Locally produced proteins help mitochondria function
Researchers developed an approach to study where proteins get made, and characterized proteins produced near mitochondria, gaining potential insights into mitochondrial function and disease.
Researchers developed an approach to study where proteins get made, and characterized proteins produced near mitochondria, gaining potential insights into mitochondrial function and disease.
The longtime MIT professor shared a Nobel Prize for his role in developing the LIGO observatory and detecting gravitational waves.
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
Solar electric vehicle pioneer James Worden ’89 brought his prototype solar electric boat to MIT to talk shop with students and share his vision for solar-powered boats.
By combining several cutting-edge imaging technologies, a new microscope system could enable unprecedentedly deep and precise visualization of metabolic and neuronal activity, potentially even in humans.
The dazzling “RBFLOAT” radio burst, originating in a nearby galaxy, offers the clearest view yet of the environment around these mysterious flashes.
A new computational model makes sense of the cognitive processes humans use to evaluate punishment.
Researchers develop a fast-acting, cell-permeable protein system to control CRISPR-Cas9, reducing off-target effects and advancing gene therapy.
The MRL helps bring together academia, government, and industry to accelerate innovation in sustainability, energy, and advanced materials.
Over 50 years at MIT, the condensed-matter physicist led the development of photonic crystals, translating discoveries into wide-ranging applications in energy, medicine, and defense.
A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
Lab experiments show “ionic liquids” can form through common planetary processes and might be capable of supporting life even on waterless planets.
Researchers created polymers that are more resistant to tearing by incorporating stress-responsive molecules identified by a machine-learning model.
By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.
Nanophotonic devices developed at MIT are compact, efficient, reprogrammable, adaptive, and able to dynamically respond to external inputs.