AI-driven tool makes it easy to personalize 3D-printable models
With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.
A pose-mapping technique could remotely evaluate patients with cerebral palsy
The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.
Desirée Plata appointed co-director of the MIT Climate and Sustainability Consortium
Plata’s expertise in academics and industry will help advance the mission of the consortium and propel implementable climate solutions forward.
How an archeological approach can help leverage biased data in AI to improve medicine
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
Pixel-by-pixel analysis yields insights into lithium-ion batteries
In a first, researchers have observed how lithium ions flow through a battery interface, which could help engineers optimize the material’s design.
A. Michael West: Advancing human-robot interactions in health care
When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.
Helping computer vision and language models understand what they see
Researchers use synthetic data to improve a model’s ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems.
AI model speeds up high-resolution computer vision
The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.
System combines light and electrons to unlock faster, greener computing
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.
Making life friendlier with personal robots
Sharifa Alghowinem, a research scientist at the Media Lab, explores personal robot technology that explains emotions in English and Arabic.