Letters
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...
Letters
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.
Letters
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.
Letters
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!
Letters
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.
Letters
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.
Letters
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.
Letters
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.
Letters
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?
Letters
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.
Letters
AI researchers keep coming up with impressive innovations: transformer-based language models, self-supervised learning, deep reinforcement learning, small data. All of these developments hold great promise.
Letters
I’d like to share a programming tip that I’ve used for years. A large part of programming involves googling for code snippets you need on Stack Overflow and other websites. (Shh. Don’t tell the nondevelopers. ????)