Tiny Images photos and datasets
MIT

Tiny Images, Outsized Biases: MIT Researchers Delete TinyImages Dataset

MIT withdrew a popular computer vision dataset after researchers found that it was rife with social bias. Researchers found racist, misogynistic, and demeaning labels among the nearly 80 million pictures in Tiny Images, a collection of 32-by-32 pixel color photos.
Information related to the Once-for-All (OFA) method
MIT

Build Once, Run Anywhere

From server to smartphone, devices with less processing speed and memory require smaller networks. Instead of building and training separate models to run on a variety of hardware, a new approach trains a single network that can be adapted to any device.
Hamster running in a hamster ball
MIT

Running Fast, Standing Still

Machine learning researchers report better and better results, but some of that progress may be illusory. Some models that appear to set a new state of the art haven’t been compared properly to their predecessors, Science News reports based on several published surveys.
Images containing various atlas and graphs
MIT

Underwater Atlas

The ocean contains distinct ecosystems, but they’re much harder to see than terrestrial forests or savannas. A new model helps scientists better understand patterns of undersea life, which is threatened by pollution, invasive species, and warming temperatures.
Replica of the video game Pac-Man generated by a GAN
MIT

Playing With GANs

Generative adversarial networks don’t just produce pretty pictures. They can build world models, too. A GAN generated a fully functional replica of the classic video game Pac-Man.
Data related to few-shot learning
MIT

Small Data the Simple Way

Few-shot learning seeks to build models that adapt to novel tasks based on small numbers of training examples. This sort of learning typically involves complicated techniques, but researchers achieved state-of-the-art results using a simpler approach.
Map of Asia with AI letters inside a location icon
MIT

Asia’s AI Advantage

Asian companies lead the world in AI deployment, new research argues. Market research by MIT Technology Review Insights found that companies in the Asia-Pacific region are using machine learning faster and with better results than any other part of the world.
Series of images and data related to a tool that maps where hurricanes and other calamities have wiped out roads
MIT

Roads to Recovery

Deep learning promises to help emergency responders find their way through disaster zones. MIT researchers developed a tool that maps where hurricanes and other calamities have wiped out roads, helping to show aid workers the fastest ways to get to people in need.
Data and graphs related to batch normalization
MIT

Outside the Norm

Batch normalization is a technique that normalizes layer outputs to accelerate neural network training. But new research shows that it has other effects that may be more important.
15.ai screen capture with a character from My Little Pony
MIT

Voice Cloning for the Masses

Are you secretly yearning to have a My Little Pony character voice your next online presentation? A new web app can make your dreams come true. 15.ai translates short text messages into the voices of popular cartoon and videogame characters.
Data related to model that predicts molecules that are structurally unrelated to known antibiotics
MIT

Deep Learning Finds New Antibiotic

Chemists typically develop new antibiotics by testing close chemical relatives of tried-and-true compounds like penicillin. That approach becomes less effective, though, as dangerous bacteria evolve resistance to those very chemical structures. Instead, researchers enlisted neural networks.
Graphs related to ImageNet error landscape
MIT

Rightsizing Neural Nets

How much data do we want? More! How large should the model be? Bigger! How much more and how much bigger? New research estimates the impact of dataset and model sizes on neural network performance.
Overview of the development and validation of our deep learning system (DLS)
MIT

Deep Learning Tackles Skin Ailments

Skin conditions are the fourth-largest cause of nonfatal disease worldwide, but access to dermatological care is sparse. A new study shows that a neural network can do front-line diagnostic work.
Original vs Deepfake example
MIT

Facing Down Deepfakes

Deepfakes threaten to undermine law and order, perhaps democracy itself. A coalition of tech companies, nonprofits, and academics joined forces to counter potential adverse impacts.

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