Researchers 3D print components for a portable mass spectrometer
Lightweight and inexpensive, miniaturized mass filters are a key step toward portable mass spectrometers that could identify unknown chemicals in remote settings.
Lightweight and inexpensive, miniaturized mass filters are a key step toward portable mass spectrometers that could identify unknown chemicals in remote settings.
MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.
A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.
A low carbon abundance in planetary atmospheres, which the James Webb Space Telescope can detect, could be a signature of habitability.
Study of rigorous trial shows mixed results, suggests need to keep examining how nutrition can combat a pervasive disease.
Swallowing the device before a meal could create a sense of fullness, tricking the brain into thinking it’s time to stop eating.
Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.
A cheaper water desalination device, a wearable ultrasound scanner, and a new kind of supercapacitor were some of MIT News’ most popular articles.
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.
This new method draws on 200-year-old geometric foundations to give artists control over the appearance of animated characters.
By reevaluating existing data, researchers find the procedure is even more valuable than consensus had indicated.
MIT researchers find that in mice and human cell cultures, lipid nanoparticles can deliver a potential therapy for inflammation in the brain, a prominent symptom in Alzheimer’s.
“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
Using generative AI, MIT chemical engineers and chemists created a model that can predict the structures formed when a chemical reaction reaches its point of no return.