Small Data the Simple Way: A training technique that can outperform few-shot learning
MIT

Small Data the Simple Way: A training technique that can outperform few-shot learning

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.

May 20, 20202 min read
Asia’s AI Advantage: Asian companies show success in AI updake.
MIT

Asia’s AI Advantage: Asian companies show success in AI updake.

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.

May 6, 20202 min read
Asia’s AI Advantage: Asian companies show success in AI updake.
MIT

Asia’s AI Advantage: Asian companies show success in AI updake.

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.

May 6, 20202 min read
Roads to Recovery: AI maps the route through disaster zones
MIT

Roads to Recovery: AI maps the route through disaster zones

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.

April 29, 20201 min read
Roads to Recovery: AI maps the route through disaster zones
MIT

Roads to Recovery: AI maps the route through disaster zones

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.

April 29, 20201 min read
Outside the Norm: Batch normalization contributes to neural network accuracy.
MIT

Outside the Norm: Batch normalization contributes to neural network accuracy.

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.

April 8, 20202 min read
Outside the Norm: Batch normalization contributes to neural network accuracy.
MIT

Outside the Norm: Batch normalization contributes to neural network accuracy.

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.

April 8, 20202 min read
Voice Cloning for the Masses: An AI project clones cartoon character voices.
MIT

Voice Cloning for the Masses: An AI project clones cartoon character voices.

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.

April 1, 20201 min read
Voice Cloning for the Masses: An AI project clones cartoon character voices.
MIT

Voice Cloning for the Masses: An AI project clones cartoon character voices.

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.

April 1, 20201 min read
Rightsizing Neural Nets: An equation for predicting optimal data and model size
MIT

Rightsizing Neural Nets: An equation for predicting optimal data and model size

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.

March 25, 20202 min read
Deep Learning Finds New Antibiotic: Researchers used AI to identify a promising new antibiotic.
MIT

Deep Learning Finds New Antibiotic: Researchers used AI to identify a promising 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.

March 25, 20202 min read
Rightsizing Neural Nets: An equation for predicting optimal data and model size
MIT

Rightsizing Neural Nets: An equation for predicting optimal data and model size

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.

March 25, 20202 min read
Deep Learning Finds New Antibiotic: Researchers used AI to identify a promising new antibiotic.
MIT

Deep Learning Finds New Antibiotic: Researchers used AI to identify a promising 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.

March 25, 20202 min read
Deep Learning Tackles Skin Ailments
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.

October 9, 20192 min read
Deep Learning Tackles Skin Ailments
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.

October 9, 20192 min read

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