Oct 16, 2019

6 Posts

Drone race
Oct 16, 2019

Autonomous Drones Ready to Race

Pilots in drone races fly souped-up quadcopters around an obstacle course at 120 miles per hour. But soon they may be out of a job, as race organizers try to spice things up with drones controlled by AI.
1 min read
TensorFlow Versus PyTorch, Autonomous Drone Races, State-of-the-Art with Less Compute, NLP for Rare Languages
Oct 16, 2019

TensorFlow Versus PyTorch, Autonomous Drone Races, State-of-the-Art with Less Compute, NLP for Rare Languages

I just replaced my two-year-old phone with a new one and figured out how to take long-exposure photos of Nova even while she’s asleep and the lights are very low. This piece of technology brought me a surprising amount of joy! I wrote about ethics last week, and
8 min read
An illustration of filter pruning
Oct 16, 2019

High Accuracy, Low Compute

As neural networks have become more accurate, they’ve also ballooned in size and computational cost. That makes many state-of-the-art models impractical to run on phones and potentially smaller, less powerful devices.
2 min read
Tensorflow and Pytorch logos
Oct 16, 2019

Clash of the Frameworks

Most deep learning applications run on TensorFlow or PyTorch. A new analysis found that they have very different audiences. A researcher at Cornell University compared references to TensorFlow and PyTorch in public sources over the past year.
1 min read
Map of Northamerica showing different indigenous languages by location
Oct 16, 2019

Power of Babel

More than 900 indigenous languages are spoken across the Americas, nearly half of all tongues in use worldwide. A website tracks the growing number of resources available for natural language processing researchers interested in studying, learning from, and saving these fading languages.
1 min read
Proposed model for abstractive summarization of a scientific article
Oct 16, 2019

Two Steps to Better Summaries

Summarizing a document using original words is a longstanding problem for natural language processing. Researchers recently took a step toward human-level performance in this task, known as abstractive summarization, as opposed to extractive summarization.
1 min read

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