May 22, 2019
Aping Joe Rogan
The tide of AI-driven fakery rose higher around the Internet’s ankles as the synthesized voice of comedian/podcaster Joe Rogan announced his purported formation of a hockey team made up of chimpanzees.
Analytics DeepLearning.AI
May 22, 2019
Face Recognition in the Crosshairs
Unfounded worries over malevolent machines awakening into sentience seem to be receding. But fears of face recognition erupted last week — the rumblings of a gathering anti-surveillance movement.
The Batch Newsletter
The Batch: Explainable AI, Smaller Models, Labeled Data On Tap, Algorithms On Trial
I’ve been thinking a lot about "small data." If you have an image classification problem and 1,000,000 images, then dozens of teams around the world can build a good classifier.
May 15, 2019
When Good Models Do Bad Things
A lawsuit in London could set precedents for how to allocate responsibility when algorithms make poor predictions.
May 15, 2019
Hopes and Fears For AI in Business
Corporate executives worldwide are gearing up to take advantage of AI. But those in different countries aim to use the technology differently, and they bring different hopes and fears.
May 15, 2019
Digital Doodles
Wish you could draw, but your elephants look like crocodiles? Sketchforme doesn’t have that problem. This AI agent roughs out simple scenes based on text descriptions.
May 15, 2019
Toward Explainable AI
Machine learning systems are infamous for making predictions that can’t readily be explained. Now Microsoft offers an open source tool kit providing a variety of ways to interrogate models.
May 15, 2019
Weight Loss for AI
Larger neural networks can deliver better results, yet researchers found a way to make deep learning models perform just as well at one-tenth the size. Their work was awarded best paper at this year's International Conference on Learning Representations.
May 15, 2019
Labeled Data On Tap
Data wranglers have tried bulking up training data sets with synthetically generated images, but such input often fails to capture real-world variety. Researchers propose a way to generate labeled data for visual tasks that aims to bring synthetic and real worlds into closer alignment.
The Batch Newsletter
The Batch: AI With Fashion Sense, Robot Farmers, Schooling Alexa, Sharper Computer Vision
A first for my three-month-old daughter Nova: an outing to the park. As my mother and I watched her staring at a tree. I realized what a novel experience it must be to see a tree close-up for the first time.
May 08, 2019
Deep Motion
The usual ways to plot a course from one place to another typically entail a trade-off between economy of motion and computation time. Researchers instead used deep learning to find efficient paths quickly.
May 08, 2019
Alex, Open . . . Something
If digital assistants had feet, their Achilles heel would be requiring users to remember commands that invoke new skills. Amazon proposes a way to train systems like Alexa to learn new domains incrementally.