Science
Governments have struggled to find a tax formula that promotes prosperity without creating extremes of wealth and poverty. Can machine learning show the way?
Tech & Society
Neural networks can spill their secrets to those who know how to ask. A new approach secures them from prying eyes. Researchers demonstrate that that adversaries can find out a model’s parameter values by measuring its power use.
Machine Learning Research
Human teachers can teach more effectively by adjusting their methods in response to student feedback. It turns out that teacher networks can do the same.
The Batch Newsletter
There has been a lot of excitement about the idea of using deep learning to diagnose diabetic retinopathy: That is by taking a photo of the retina and using AI to detect signs of disease.
Letters
There has been a lot of excitement about the idea of using deep learning to diagnose diabetic retinopathy: That is by taking a photo of the retina and using AI to detect signs of disease.
Tech & Society
A new generative model croons like Elvis and raps like Eminem. It might even make you think you’re listening to a lost demo by the Beatles. OpenAI released Jukebox, a deep learning system that has generated thousands of songs in styles from country to metal and soul.
Machine Learning Research
AI’s ability to produce synthetic pictures that fool humans into believing they’re real has spurred a race to build neural networks that can tell the difference. Recent research achieved encouraging results.
Science
Israeli and American hospitals are using an algorithm to flag individuals at high risk for Covid-19 complications.
Science
A machine learning model is scanning the oceans for the glint of garbage. Researchers from the UK’s Plymouth Marine Laboratory trained a model to identify ocean-borne refuse.
Machine Learning Research
Which comes first, training a reinforcement learning model or extracting high-quality features? New work avoids this chicken-or-egg dilemma by doing both simultaneously.
Business
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.
The Batch Newsletter
In an earlier letter, I wrote about the challenge of robustness: A learning algorithm that performs well on test data often doesn’t work well in a practical production environment because the real world turns out to be different than the test set.