Photos of different Pie & AI events
Letters

Pie & AI Turns 100!

I’m proud to announce that we held the 100th Pie & AI last Friday. Pie & AI is our meetup series that brings together members of the AI community worldwide for education, conversation, and a slice of pie.
People's fingers forming a triangle
Letters

Staying Connected Amid the Pandemic

I recently received an email from one of you who lives far from the major AI hubs, saying, “I feel like I’m all alone.” I want to tell you all...
Men on either side of Blue Nile River in Ethiopia pull each other across the broken bridge by a rope
Letters

Covid-19 Transforms Industries

Inflection points in society create opportunities. The rise of online video was an inflection point that enabled scalable online education.
Two partial images of a retina
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.
The Great Wave off Kanagawa by Hokusai
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.
Slide with info about school closures as of April 20, 2020
Letters

Covid-19 and the Shift to Online Learning

I spoke on Tuesday at Coursera’s annual conference. It was the company’s most well-attended conference yet, and the first to be held online. Higher education is in for turbulent times.
Neural network with the Caduceus sign
Letters

Medical Applications of AI

This week’s issue of The Batch is all about medical applications of AI. Amid the current pandemic, the marriage of AI and medicine is more urgent than ever. My father is a practicing doctor, and I grew up seeing firsthand how the right...
Flatten the curve campaign image
Letters

Deep Learning Against Covid

Last week, I asked readers to tell me what they’re doing to address the Covid-19 pandemic. Many of you wrote to say you’re taking actions such as shopping for neighbors, making masks, and creating posters that promote Covid-safe practices...
Neural network over a world map
Letters

Covid-19: How to Flatten the Curve

In the earlier weeks of Covid-19, I didn’t want to contribute noise, so that experts in infectious disease could be heard. But now the situation has worsened. I spoke yesterday with Eric Topol, a cardiologist at Scripps Institute and author of Deep...
Andrew Ng working on three computers at the same time
Letters

Covid and the Remote Work Experiment

When I was younger, I was not a fan of working from home. Too many distractions! So I worked a lot in coffee shops. They turned out to be convenient places to talk to strangers and ask for feedback about products I was working on...
Animated symbol of Covid-19 virus structure
Letters

The Tech Community Fights Covid

The unfolding Covid-19 crisis calls for individuals and organizations to step up and contribute to the common good. I believe that the tech community has an important role to play in slowing the progress of the virus and shortening the time...
Welcome slide for the Global Interactive AI Conference
Letters

Conferences in the Time of Covid

The Covid-19 pandemic is a tragedy that demands urgent and humane response. It’s also pushing us toward new ways of gathering and sharing information — and that may be a faint silver lining that might grow brighter over time.
Economic surplus
Letters

How Price Optimization Leads to Better Products and Worse Transparency

In addition to creating tremendous value, AI is creating tremendous concentrations of power. Our community is wrestling with what constitutes fair use of that power.
Lex Fridman and Andrew Ng chatting
Letters

Andrew on Lex Fridman's Podcast

I chatted recently with MIT researcher Lex Fridman on his Artificial Intelligence podcast, where we discussed our experiences teaching deep learning. It was the most fun I’ve had in an interview lately, and you can watch the video here.
Transfer Learning and Self-taught Learning examples
Letters

Unsupervised Learning Ascendent

Nearly a decade ago, I got excited by self-taught learning and unsupervised feature learning — ways to learn features from unlabeled data that afterward can be used in a supervised task.

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