Letters
From Proof of Concept to Production
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.
Analytics DeepLearning.AI
Tech & Society
Roll Over, Beyoncé: How OpenAI's Jukebox generates synthetic music
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
Fake Detector: Using a discriminator network to spot deepfakes
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
Triage for Pandemic Patients: Complications AlgoMarker measures a patient's Covid risk.
Israeli and American hospitals are using an algorithm to flag individuals at high risk for Covid-19 complications.
Science
Seeing Sea Plastic: Computer vision spots ocean trash from satellite imagery.
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
RL and Feature Extraction Combined: CURL combines reinforcement with contrastive learning.
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
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.
The Batch Newsletter
The Batch: Tesla Parts the Curtain, Detecting Dangerous Bugs, Mapping Disaster Zones, Detecting Humans from Wi-Fi
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.
Letters
Tips for Building Practical Machine learning systems
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.
Tech & Society
Tracking the Elusive Stop Sign: How Tesla trained its cars to recognize stop signs
Recognizing stop signs, with their bold color scheme and distinctive shape, ought to be easy for computer vision — but it turns out to be a tricky problem. Tesla pulled back the curtain on what it takes to train its self-driving software to perform this task and others.
Machine Learning Research
Room With a View: AI detects humans from Wi-Fi disturbances.
Your body disturbs Wi-Fi signals as you move through them. New research takes advantage of the effect to recognize the presence of people. Yang Liu and colleagues at Syracuse University detected people in a room with a Wi-Fi router by analyzing the signal.
Tech & Society
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.