Algorithms can now map placentas and ensure healthy pregnancies
This new technique stretches out MRI scans of placentas so they can be more accurately analyzed, and shows the potential of MRI for pregnancy monitoring.
Adam Conner-Simons is a Communications Coordinator at Massachusetts Institute of Technology (MIT).
This new technique stretches out MRI scans of placentas so they can be more accurately analyzed, and shows the potential of MRI for pregnancy monitoring.
MIT scientists have created a new deep-learning model that can predict from a mammogram if a patient is likely to develop breast cancer as much as five years in the future.
CSAIL system can mirror a user's motions and follow nonverbal commands by monitoring arm muscles.
The "RoCycle" system uses in-hand sensors to detect if an object is paper, metal or plastic, and could revolutionize recycling.
Researchers have taught an artificial intelligence system to look at photos of food, analyse the ingredients and suggest similar recipes.
A model developed at MIT could reduce false positives and unnecessary surgeries for breast cancer.
Using smartphone cameras, system for seeing around corners could help with self-driving cars and search-and-rescue.
A shape-shifting device from CSAIL can walk, roll, sail, and glide using recyclable exoskeletons.
Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.
A new MIT study suggests that using carpooling options could reduce the number of vehicles on the road without significantly impacting travel time.
A new cybersecurity system combines artificial intelligence and human input to predict 85% of cyberattacks.
MIT scientists have designed motion planning algorithms to help drones avoid obstacles.