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.
Oct 16, 2019
14 Posts
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.
Oct 16, 2019
Does Your Project Bring Joy?
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!
Oct 16, 2019
The Batch: 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!
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.
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.
Oct 16, 2019
Does Your Project Bring Joy?
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!
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.
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.
Oct 16, 2019
The Batch: 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!
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.
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.
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.
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.
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