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.
Analytics DeepLearning.AI
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...
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.
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
Inside AI’s Muppet Empire: Why Are So Many NLP Models Named After Muppets?
As language models show increasing power, a parallel trend has received less notice: The vogue for naming models after characters in the children’s TV show Sesame Street.
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.
Machine Learning Research
Self-Training for Sharper Vision: The noisy student method for computer vision, explained
The previous state-of-the-art image classifier was trained on the ImageNet dataset plus 3.5 billion supplemental images from a different database. A new method achieved higher accuracy with one-tenth as many supplemental examples — and they were unlabeled, to boot.
Tech & Society
Competition or Cooperation?: Why AI should not be an arms race
Some politicians view international competition in AI as an arms race. That mindset could lead to escalating conflict, experts said.
Machine Learning Research
Different Skills From Different Demos: Implicit reinforcement without interaction at scale, explained
Reinforcement learning trains models by trial and error. In batch reinforcement learning (BRL), models learn by observing many demonstrations by a variety of actors. But what if one doctor is handier with a scalpel while another excels at suturing?
Tech & Society
IP for AI: Behind the rise of deep learning patents
The number of patents issued for deep learning has doubled every year since 2013. Inventor, engineer, and lawyer Nick Brestoff tracks deep learning patents. He detailed his findings in a blog on InsideBigData and offers advice on how to get patent applications approved.