Method teaches generative AI models to locate personalized objects
After being trained with this technique, vision-language models can better identify a unique item in a new scene.
After being trained with this technique, vision-language models can better identify a unique item in a new scene.
McRose, an environmental microbiologist, is recognized for researching the ecological roles of antibiotics in shaping ecosystems, agriculture, and health.
A decade-plus alliance between MIT’s AgeLab and Toyota’s Collaborative Safety Research Center is recognized as a key contributor to advancements in automotive safety and human-machine interaction.
Their system uses electrochemically generated bubbles to detach cells from surfaces, which could accelerate the growth of carbon-absorbing algae and lifesaving cell therapies.
In a new study, MIT researchers evaluated quantum materials’ potential for scalable commercial success — and identified promising candidates.
While the Earth’s upper crust recovers quickly from seismic activity, new research finds the mid-crust recovers much more slowly, if at all.
MIT postdoc Giorgio Rizzo harnesses plant chemistry to design sustainable fertilizers that could reshape modern farming.
An algorithm can change the face of food assistance policy in the Global South, says MIT assistant professor and J-WAFS researcher Ali Aouad.
Acting as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality.
The Rare Brain Disorders Nexus aims to accelerate the development of novel therapies for a spectrum of uncommon brain diseases.
Materials from ancient rocks could reveal conditions in the early solar system that shaped the early Earth and other planets.
The promoter editing system could be used to fine-tune gene therapy or to more efficiently reprogram cells for therapeutic use.
Speakers at MIT’s Aging Brain Initiative symposium described how immune system factors during aging contribute to Alzheimer’s, Parkinson’s and other conditions. The field is leveraging that knowledge to develop new therapies.
The MIT–MBZUAI Collaborative Research Program will unite faculty and students from both institutions to advance AI and accelerate its use in pressing scientific and societal challenges.
Proposed system would combine two kinds of plants, creating greater efficiency and lowering costs while curbing climate-changing emissions.