Making aviation fuel from biomass
MIT researchers are converting the plant material lignin into hydrocarbon molecules that could help make jet fuel 100 percent sustainable.
Machine-learning system based on light could yield more powerful, efficient large language models
MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.
MIT engineers use kirigami to make ultrastrong, lightweight structures
Produced with techniques borrowed from Japanese paper-cutting, the strong metal lattices are lighter than cork and have customizable mechanical properties.
Artificial intelligence for augmentation and productivity
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
To improve solar and other clean energy tech, look beyond hardware
A new study finds system deployment processes have been slow to improve over time — but must be addressed to lower clean energy costs in the future.
MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans
The challenge involves more than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.
How machine-learning models can amplify inequities in medical diagnosis and treatment
MIT researchers investigate the causes of health care disparities among underrepresented groups.
Studying how children learn words with no meaning
Project leaders at the MIT Language Acquisition Lab say their research could shed new light on the nature of language learning.
A snapshot of cancer vaccine development
The Koch Institute’s Annual Symposium highlights emerging successes and challenges in the advancement of vaccines to prevent and treat cancer.
Simple superconducting device could dramatically cut energy use in computing, other applications
The ultrasmall “switch” could be easily scaled.
AI models are powerful, but are they biologically plausible?
A new study bridging neuroscience and machine learning offers insights into the potential role of astrocytes in the human brain.
Study explains how part of the nucleolus evolved
A single protein can self-assemble to build the scaffold for a biomolecular condensate that makes up a key nucleolar compartment.
When rumors take flight
Professor Adam Berinsky’s new book examines the political misinformation that threatens the US system of government.
Invisible tagging system enhances 3D object tracking
Developed by MIT researchers, BrightMarkers are invisible fluorescent tags embedded in physical objects to enhance motion tracking, virtual reality, and object detection.
Tables and figures: Why are graphics taken for granted in research writing?
For MIT CSHub postdoc Miaomiao Zhang, communicating effectively is perhaps the most important part of research.