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.
Self-powered sensor automatically harvests magnetic energy
A system designed at MIT could allow sensors to operate in remote settings, without batteries.
3 Questions: Renaud Fournier on transforming MIT’s digital landscape
MIT’s new chief officer for business and digital transformation describes how the Institute is embarking on an effort to renew its digital landscape.
Bridging the gap between preschool policy, practice, and research
At an MIT Blueprint Labs Preschool Research Convening, researchers present studies on early childhood education and discuss new research directions with practitioners.
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.
Co-creating climate futures with real-time data and spatial storytelling
Five multimedia projects communicating climate futures selected for 2023 WORLDING program, online and at MIT.
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.
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 can give you ‘superpowers’”
MITx MicroMasters credential leads learner to accelerated graduate program in data science.
Image recognition accuracy: An unseen challenge confounding today’s AI
“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
Three MIT students selected as inaugural MIT-Pillar AI Collective Fellows
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
MIT campus goals in food, water, waste support decarbonization efforts
Series of 2030 quantitative campus impact goals aims to reduce emissions and inform and advance the Institute’s commitment to climate.
Automated system teaches users when to collaborate with an AI assistant
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
Search algorithm reveals nearly 200 new kinds of CRISPR systems
By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.