IdeaStream 2020 goes virtual
From machine learning to devices to Covid-19 testing, Deshpande Center projects aim to make a positive impact on the world.
MIT and Toyota release innovative dataset to accelerate autonomous driving research
DriveSeg contains precise, pixel-level representations of many common road objects, but through the lens of a continuous video driving scene.
What jumps out in a photo changes the longer we look
Researchers capture our shifting gaze in a model that suggests how to prioritize visual information based on viewing duration.
Machine learning helps map global ocean communities
An MIT-developed technique could aid in tracking the ocean’s health and productivity.
Undergraduates develop next-generation intelligence tools
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.
Deep learning accurately stains digital biopsy slides
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Fireflies helps companies get more out of meetings
Startup makes meeting data searchable and shareable, and automates data entry into workplace apps.
Machine-learning tool could help develop tougher materials
Engineers develop a rapid screening system to test fracture resistance in billions of potential materials.
Marshaling artificial intelligence in the fight against Covid-19
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.
What can your microwave tell you about your health?
An MIT system uses wireless signals to measure in-home appliance usage to better understand health tendencies.
A data-driven response to a pandemic
Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.
Visualizing the world beyond the frame
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.
A foolproof way to shrink deep learning models
Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.
Automating the search for entirely new “curiosity” algorithms
Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.
Reducing the carbon footprint of artificial intelligence
MIT system cuts the energy required for training and running neural networks.