Bringing human-like reasoning to driverless car navigation
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
Topic
Electrical engineering and computer science (EECS)
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This robot helps you lift objects — by looking at your biceps
CSAIL system can mirror a user's motions and follow nonverbal commands by monitoring arm muscles.
MIT and U.S. Air Force sign agreement to launch AI Accelerator
New program will focus on rapid deployment of artificial intelligence innovations in operations, disaster response, and medical readiness.
Merging machine learning and the life sciences
Through computing, senior and Marshall Scholar Anna Sappington seeks answers to biological questions.
Twelve MIT students accept 2019 Fulbright Fellowships
Grantees will spend the 2019-2020 academic year pursuing research and teaching opportunities abroad.
3Q: Hal Abelson on empowering kids through mobile technology
Through MIT App Inventor, Abelson aims to show children how they can use technology to shape their world.
Generating high-quality single photons for quantum computing
New dual-cavity design emits more single photons that can carry quantum information at room temperature.
Building a community for statistics and data science at MIT and beyond
Third annual MIT Statistics and Data Science conference gathers a growing interdisciplinary community of researchers and practitioners.
How to tell whether machine-learning systems are robust enough for the real world
New method quickly detects instances when neural networks make mistakes they shouldn’t.
Wireless movement-tracking system could collect health and behavioral data
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
Using AI to predict breast cancer and personalize care
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
Smarter training of neural networks
MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.
Merging cell datasets, panorama style
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
School of Engineering first quarter 2019 awards
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
New approach could accelerate efforts to catalog vast numbers of cells
Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.