New hope for early pancreatic cancer intervention via AI-based risk prediction
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
Reasoning and reliability in AI
PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.
Self-powered sensor automatically harvests magnetic energy
A system designed at MIT could allow sensors to operate in remote settings, without batteries.
Stratospheric safety standards: How aviation could steer regulation of AI in health
An interdisciplinary team of researchers thinks health AI could benefit from some of the aviation industry’s long history of hard-won lessons that have created one of the safest activities today.
The art of being FLI
The MIT First Generation/Low Income Program provides undergraduates with community, resources, and support as they navigate MIT.
3 Questions: Implementing the MIT Graduate Student Union’s collective bargaining agreement
Ian Waitz describes the three-year contract that will change and enhance MIT’s graduate student policies and procedures.
Multiple AI models help robots execute complex plans more transparently
A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.
Technique could efficiently solve partial differential equations for numerous applications
MIT researchers propose “PEDS” method for developing models of complex physical systems in mechanics, optics, thermal transport, fluid dynamics, physical chemistry, climate, and more.
Inclusive research for social change
The MIT Summer Research Program pairs underrepresented students with opportunities to examine inequity through the IDSS Initiative for Combatting Systemic Racism.
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.
AI agents help explain other AI systems
MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.
Complex, unfamiliar sentences make the brain’s language network work harder
A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.
Leveraging language to understand machines
Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.
MIT’s top research stories of 2023
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 in 2023: A year in review
Top Institute stories dealt with a presidential inauguration, international accolades for faculty and students, “Dialogues Across Difference,” new and refreshed community spaces, and more.