Casino game
Letters

AI Concentrates Power and Wealth

In my letter last week, I alluded to the way AI tends to concentrate power and wealth. This tendency worries me, and I believe it deserves more attention. The U.S. government has been looking into these winner-take-most dynamics at a few leading technology companies...
Fireworks
Letters

Happy New Year! Three Aspirations for AI in 2021

Happy New Year! As we enter 2021, I want to share with you three wishes I have for AI in the upcoming year. I hope we can: Narrow the gap between proofs-of-concept and production.
Andrew Ng holding a cup, small christmas tree behind
Letters

The Power of Gratitude

Every year for the past decade, I flew to Singapore or Hong Kong to celebrate my mother’s birthday with her on December 22. This year, for the first time, we did it via Zoom.
Many research papers
Letters

Rules for Corporate AI Researchers

When a researcher works for a company, what rights should they have to publish their work, and what rights should the company that sponsored the work have? This issue has come up many times in the AI community across many companies...
Brass weight scales with cupped trays
Letters

Values for the AI Community, Part 3: Ethical AI

Like many people in the AI community, I am saddened by the sudden departure from Google of ethical AI researcher Timnit Gebru. Timnit is a tireless champion of diversity and fairness in AI.
Light bulb on
Letters

Advice for Start-Up Founders

The rise of AI creates opportunities for new startups that can move humanity forward. In the 1990s, the internet was embraced successfully by incumbent companies including Apple and Microsoft, but it also inspired hugely impactful...
Labeling training data charts
Letters

Data-Centric AI Development: Small-Data Problems

Over the last two weeks, I described the importance of clean, consistent labels and how to use human-level performance (HLP) to trigger a review of whether labeling instructions need to be reviewed.
Detecting system pointing out scratches on a surface
Letters

AI Versus Human-Level Performance, Part 2

Last week, I wrote about the limitation of using human-level performance (HLP) as a metric to beat in machine learning applications for manufacturing and other fields. In this letter, I would like to show why beating HLP isn’t always the best way to improve performance.
Different defects on a platform
Letters

AI Versus Human-Level Performance

Beating human-level performance (HLP) has been a goal of academic research in machine learning from speech recognition to X-ray diagnosis. When your model outperforms humans, you can argue that you’ve reached a significant milestone and publish a paper!
Santa Clara County's I Voted sticker
Letters

How to Think About Probabilities

As I write this letter, the vote count is underway in yesterday’s U.S. presidential election. The race has turned out to be tight. In their final forecast last night, the political analysts at fivethirtyeight.com suggested an 89 percent chance that Joe Biden would win.
Illustration of a Halloween pumpking on a book
Letters

Happy Halloween! An Alternative AI Glossary

Welcome to this special Halloween issue of The Batch! In AI, we use many challenging technical terms. To help you keep things straight, I would like to offer some definitions that I definitely would not use.
LandingLens platform
Letters

The Rise of the Industrial AI Development Platform

Today Landing AI, where I am CEO, launched LandingLens, an AI-powered platform that helps manufacturers develop computer vision solutions that can identify defective products.
Andrew Ng's father Ronald Ng playing the violin
Letters

The Joy and Value of Life-Long Learning

My father recently celebrated a milestone: He has completed 146 online courses since 2012. His studies have spanned topics from creative writing to complexity theory. Ronald Ng is a great example of lifelong learning.
Balance with the word "present" down and the word "future" up
Letters

How to Manage Uncertainty

There’s a lot we don’t know about the future: When will a Covid-19 vaccine be available? Who will win the next election? Or in a business context, how many customers will we have next year?
Online panel discussion on “GANs for Good” with Andrew Ng, Anima Anandkumar, Alexei Efros, Ian Goodfellow, and Sharon Zhou
Letters

Introducing the Generative Adversarial Networks Specialization

This special issue of The Batch celebrates the launch of our new Generative Adversarial Networks Specialization! GANs are among the most exciting technologies to emerge from deep learning.

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