Last week, I saw a lot of social media discussion about a paper using deep learning to generate artificial comments on news articles. I’m not sure why anyone thinks this is a good idea. At best, it adds noise to the media environment.

Thinking about the future of machine learning programming frameworks, I recently reread computer scientist Fred Brooks’ classic essay, “No Silver Bullet: Essence and Accidents of Software Engineering.” Three decades after...

I read an interesting paper comparing the results of traditional passive learning (sitting in a lecture) versus active methods like the flipped classroom, where students watch videos at home and work on exercises in class.

Over the weekend, we hosted our first Pie & AI meetup in Kuala Lumpur, Malaysia, in collaboration with the AI Malaysia group, MDEC, and ADAX. The event was part of Malaysia’s AI & Data Week 2019. Several people traveled from neighboring southeast Asian countries to attend!

When it comes to artificial intelligence, one of the biggest mistakes large companies make is thinking tactically rather than strategically. What’s the difference? Some taxi companies thought they had the internet revolution...

I traveled to Taiwan last week, where I met many CEOs interested in AI transformation of traditional companies. I also visited Taiwan AI Labs which, similar to OpenAI, started as a nonprofit AI research institute.

We ended a busy week in Colombia hosting a Pie & AI meetup in Medellín. I met hundreds of engineers and business professionals excited to take the next step in their AI careers. I was energized by the enthusiasm the Colombia community had for collaborating...

I am writing to you from Colombia today, and am excited to announce the opening of our office in Medellín. The office will serve as the Latin American headquarters for three of the companies in our AI ecosystem: Landing AI, deeplearning.ai, and AI Fund.

Shortly after Pi day (3/14), I announced our Pie & AI series of meetups. We held them in Seattle in March and London in April. We just hosted our third Pie & AI meetup to celebrate the launch of the final course in the deeplearning.ai TensorFlow Specialization.

I recently met an engineer at a large travel agency who had built a fun ML project for sending guests greetings. This was one of the company’s first forays into ML. The project did not generate any revenue, and their managers discouraged them from doing more work on ML.

My stash of new blank notebooks just arrived in the mail. I have a weakness for stationery. I always feel that if only I had the perfect pen and notebook, I might have better ideas.

If you wonder how often I take online courses myself, the answer is: Quite often. I have a longstanding interest in AI for healthcare.

As we were working on the latest course of the deeplearning.ai TensorFlow Specialization, instructor Laurence Moroney messaged me his LSTM-generated poetry, created by learning from a database of roughly 100 Irish song lyrics.

AI is still compute-hungry. With supervised learning algorithms and emerging approaches to self-supervised and unsupervised learning, we are nowhere near satisfying this hunger.

Last Friday, I attended the International Conference on Machine Learning. I spoke at the AI and Climate Change workshop on projects we’re doing to model methane emissions and on wind turbines. John Platt gave an overview of climate issues.