Silicon Valley Is Obsessed With Its Evil Twin, TikTok
Plus: Reminiscing on Steve Jobs, a question for his loved ones, and a meltdown on the West Coast.
Scientists May Be a Little Too Excited About Weird Ideas
In her new book theoretical physicist Sabine Hossenfelder argues some of her colleagues may have gotten too excited about wild ideas like the multiverse.
A Spotlight on the Art of Video Games
From books to the Museum of Modern Art, gaming is getting new kinds of recognition.
Why Watching Decluttering Videos Feels So Good
Turns out there’s a neurological reason you can’t stop clicking on YouTube closet purges.
The Nighthawk RAXE300 Is Ideal for Gamer Families
Netgear’s Wi-Fi 6E router is a speedy, stable dream for gamers—if you can stomach or skip the subscriptions.
Exploring reinforcement learning to control nuclear fusion reactions
A student in Carnegie Mellon University’s School of Computer Science (SCS) has used reinforcement learning to help control nuclear fusion reactions, a significant step toward harnessing the immense power produced in nuclear fusion as a source of clean, abundant energy.
Emphasis Control for Parallel Neural TTS
Recent parallel neural text-to-speech (TTS) synthesis methods are able to generate speech with high fidelity while maintaining high performance. However, these systems often lack control over the output prosody, thus restricting the semantic information conveyable for a given text. This paper proposes a hierarchical parallel neural TTS system for prosodic emphasis control by learning a …
Interspeech 2022
Optimizing shipping logistics in a time of change
Within logistics, shipping is a vast and delicate ecosystem. Over the last couple of years many people were directly impacted by complete production shutdowns, huge and unexpected swings in consumer demand, lack of labor at ports, a shortage of shipping containers… just to name a few! Addressing challenges with business analytics To help with some …
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A Multi-Axis Approach for Vision Transformer and MLP Models
Posted by Zhengzhong Tu and Yinxiao Li, Software Engineers, Google Research Convolutional neural networks have been the dominant machine learning architecture for computer vision since the introduction of AlexNet in 2012. Recently, inspired by the evolution of Transformers in natural language processing, attention mechanisms have been prominently incorporated into vision models. These attention methods boost …
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