Interviews & Essays
Oren Etzioni — Tools For Equality: How AI can help improve accessibility
In 2020, I hope the AI community will grapple with issues of fairness in ways that tangibly and directly benefit disadvantaged populations.
Latest
Interviews & Essays
Anima Anandkumar — The Power of Simulation: How simulation can be useful for supervised learning
We’ve had great success with supervised deep learning on labeled data. Now it’s time to explore other ways to learn: training on unlabeled data, lifelong learning, and especially letting models explore a simulated environment before transferring what they learn to the real world.
Tech & Society
A Smoldering Conflict Flares: The debate between AI symbolism and connectionism, explained
A year-long Twitter feud breathed fresh life into a decades-old argument over AI’s direction. Gary Marcus, a standard bearer of logic-based AI, waged a tireless Twitter campaign to knock deep learning off its pedestal and promote other AI approaches.
Tech & Society
Face Recognition Meets Resistance: The rising resistance against face recognition in 2019
An international wave of anti-surveillance sentiment pushed back against the proliferation of face recognition systems.
Tech & Society
Driverless Cars Stall: Why autonomous driving stalled in 2019
Makers of self-driving cars predicted a quick race to the finish line, but their vehicles are far from the homestretch. A few years ago, some car companies promised road-ready autonomous vehicles as early as 2017.
Tech & Society
Natural Language Processing Models Get Literate: Why 2019 was a breakthrough year for NLP
Earlier language models powered by Word2Vec and GloVe embeddings yielded confused chatbots, grammar tools with middle-school reading comprehension, and not-half-bad translations. The latest generation is so good, some people consider it dangerous.
Tech & Society
Deepfakes Go Mainstream: Why 2019 was a big year for deepfakes
Society awakened to the delight, threat, and sheer weirdness of realistic images and other media dreamed up by computers.
Tech & Society
Simulation Substitutes for Data: When simulation works wonders with deep learning
The future of machine learning may depend less on amassing ground-truth data than simulating the environment in which a model will operate. Deep learning works like magic with enough high-quality data. When examples are scarce, though, researchers are using simulation to fill the gap.
The Batch Newsletter
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?
Letters
Setting Learning Goals
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...
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.
Tech & Society
Deployment Gap: The state of enterpriese AI in 2020
More and more companies are developing machine learning models for internal use. But many are still struggling to bridge the gap to practical deployments.