Topic
Electrical Engineering & Computer Science (eecs)
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Toward artificial intelligence that learns to write code
Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.
June 14, 2019 -
Chip design drastically reduces energy needed to compute with light
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
June 5, 2019 -
Autonomous boats can target and latch onto each other
Fleet of “roboats” could collect garbage or self-assemble into floating structures in Amsterdam’s many canals.
June 5, 2019 -
CSAIL hosts first-ever TEDxMIT
Speakers — all women — discuss everything from gravitational waves to robot nurses.
May 31, 2019 -
Cracking open the black box of automated machine learning
Interactive tool lets users see and control how automated model searches work.
May 31, 2019 -
Sensor-packed glove learns signatures of the human grasp
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
May 29, 2019 -
3 Questions: Faculty appointments and the MIT Schwarzman College of Computing
Working group studies options for creating a new set of faculty hires for MIT’s new college.
May 24, 2019 -
Developing artificial intelligence tools for all
MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.
May 23, 2019 -
Bringing human-like reasoning to driverless car navigation
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
May 22, 2019 -
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.
May 20, 2019 -
Merging machine learning and the life sciences
Through computing, senior and Marshall Scholar Anna Sappington seeks answers to biological questions.
May 18, 2019 -
Twelve MIT students accept 2019 Fulbright Fellowships
Grantees will spend the 2019-2020 academic year pursuing research and teaching opportunities abroad.
May 16, 2019 -
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.
May 15, 2019 -
Generating high-quality single photons for quantum computing
New dual-cavity design emits more single photons that can carry quantum information at room temperature.
May 14, 2019 -
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.
May 10, 2019 -
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.
May 10, 2019 -
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.
May 8, 2019 -
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.
May 7, 2019 -
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.
May 6, 2019 -
Merging cell datasets, panorama style
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
May 6, 2019