Machine Learning Research
One Network, Many Scenes
To reconstruct the 3D world behind a set of 2D images, machine learning systems usually require a dedicated neural network for each scene. New research enables a single trained network to generate 3D reconstructions of multiple scenes.
3D Object Factory
In the open-ended video game Minecraft, players extract blocks of virtual materials from a 3D environment to assemble objects of their own design, from trees to cathedrals. Researchers trained neural networks to generate these structures.
Greener Machine Learning
A new study suggests tactics for machine learning engineers to cut their carbon emissions. What’s new: Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by
Toward Better Video Search
Video search engines are often evaluated based on how they rank a single video when presented with a brief description that accompanies that video in the test set. But this criterion may not reflect a system's utility in the real world, where
Image Generation Transformed
A recent generative adversarial network (GAN) produced more coherent images using modified transformers that replaced fully connected layers with convolutional layers. A new GAN achieved a similar end using transformers in their original form.
Large Language Models for Chinese
Researchers unveiled competition for the reigning large language model GPT-3. What’s new: Four models collectively called Wu Dao were described by Beijing Academy of Artificial Intelligence, a research collective funded by the Chinese government, according to Synced Review.
Text to Speech in Parallel
A new system marks a step forward in converting text to speech: It’s fast at inference, reduces word errors, and provides some control over the speed and inflection of generated speech.What’s new: Yi Ren, Yangjun Ruan, and their co-authors at Zhejiang
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