Welcome slide for the Global Interactive AI Conference
The Batch Newsletter

The Batch: Mind-Controlled Robot Hand, Fashions by GAN, Face Recognition Countermeasure, More Realistic Deepfakes, Learning From

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
The Batch Newsletter

The Batch: Standing Up for Ethical AI, Efficient Transformers, Up-Rezzing Old Movies, Watching the Factory Floor, Pumping Iron

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
The Batch Newsletter

Political Deepfakes, Tree-Dodging Drones, Faster Brain Surgery, Robot Chicken Overlords

I chatted recently with MIT researcher Lex Fridman on his Artificial Intelligence podcast, where we discussed our experiences teaching deep learning.
Transfer Learning and Self-taught Learning examples
The Batch Newsletter

The Batch: Chatbots Sue Telemarketers, Neural Nets See Around Corners, Police Read License Plates, Deep Learning Pioneers Speak

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. These ideas contributed only marginally to practical performance back then, but I’m pleased
A screenshot from The Wizard of Oz
The Batch Newsletter

The Batch: Hotter Dating Profiles, Pandas in Love, Compute for Coronavirus, Deepfake Detection, Self-Driving Cars Run Amok

A student once asked me, “Can an AI ever love?”Since the early days of AI, people have wondered whether AI can ever be conscious or feel emotions. Even though an artificial general intelligence may be centuries away, these are important questions.
Glasses on a laptop. Pile of books and a cup in the back.
The Batch Newsletter

The Batch: Robot Warehouse Workers, Cities Under Surveillance, Chatbot Comedian, Automated Drug Design

Many of us apply labels to ourselves that shape our identity. Some say, “I’m a sports fan,” and this attitude motivates behaviors such as cheering for the home team. Others identify themselves as introverts, extroverts, vegetarians, gamers, athletes, scientists, and/or engineers.
Woman doing a push-up
The Batch Newsletter

The Batch: Fighting Coronavirus, Hunting Drug Dealers, Fixing Bugs, Regulating AI, Accelerating Text-to-Speech

I just finished reading BJ Fogg’s new book, Tiny Habits: The Small Changes That Change Everything. Fogg explains that the best way to build a new habit is to start small and succeed, rather than starting too big and giving up.
Illustration of a person with a face recognition system on the face
The Batch Newsletter

The Batch: Algorithm Designs Living Machines, AI Interviews Job Applicants, Recommender Spreads Misinformation, Researchers

Last week brought reports that the European Union is considering a three- to five-year moratorium on face recognition in public places. Face recognition is a problematic technology with significant potential for misuse, and I celebrate the EU’s effort to...
Lifelike video imagery of virtual people made by NEON
The Batch Newsletter

The Batch: AI Steals CES, Hollywood Predicts Blockbusters, Washington Regulates AI, Neural Nets Study Math

One of the best gifts a friend gave me last year was recommending a book that I subsequently read and loved. She didn’t even have to buy it for me! The right information at the right time can have a powerful impact. It can alter the course of a project or even a career.
Some results from AI Career Pathways report
The Batch Newsletter

The Batch: Facebook Takes on Deepfakes, Google AI Battles Cancer, Researchers Fight ImageNet Bias, AI Grows Globally

Many accomplished students and newly minted AI engineers ask me: How can I advance my career? Companies in many industries are building AI teams, but it may not be obvious how to join one of them. Different companies organize their teams differently and...
Andrew Ng with his grandfather
The Batch Newsletter

Hopes for AI in 2020: Yann LeCun, Kai-Fu Lee, Anima Anandkumar, Richard Socher

Happy New Year! Every winter holiday, I pursue a learning goal around a new topic. In between visits with family, I end up reading a lot. About a decade ago, my holiday topic was pedagogy — I still remember lugging a heavy suitcase of books through the airport — and this...
Illustration of Christmas gifts
The Batch Newsletter

The Batch: Biggest AI Stories of 2019: Driverless Cars Stall, Deepfakes Go Mainstream, Face Recognition Gets Banned

We here at deeplearning.ai wish you a wonderful holiday season. As you consider your New Year’s resolutions and set goals for 2020, consider not just what you want to do, but what you want to learn: What courses do you want to take this year?
Andrew Ng and other speakers at the NeurIPS 2019 conference
The Batch Newsletter

The Batch: Companies Slipping on AI Goals, Self Training for Better Vision, Muppets and Models, China Vs US?, Only the Best

I’ve been reflecting on the NeurIPS 2019 conference, which ended on Saturday. It’s always a wonderful event, but this year I found it a bittersweet experience. Bitter because the conference has grown so much that we no longer focus on a handful of ideas.
Pie & AI event on AI ethics
The Batch Newsletter

The Batch: Amazon's Surveillance Network, AI That Gets the Facts Right, Deepfakes Get Regulated, Predicting Volcanic Eruptions

I’ve been thinking about AI and ethics. With the techlash and an erosion of trust in technology as a positive force, it’s more important than ever that we make sure the AI community acts ethically.
Andrew Ng holding a sweatshirt that says "Trust the robot"
The Batch Newsletter

The Batch: Google AI Explains Itself, Neural Net Fights Bias, AI Demoralizes Champions, Solar Power Heats Up

Recently I wrote about major reasons why AI projects fail, such as small data, robustness, and change management. Given that some AI systems don't work, users and customers sometimes rightly wonder whether they should trust an AI system.

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